 Okay, welcome everybody. I got settled in. Let's start in a moment. I am Mike Morneau. I will be your one of your producers today. And if you require tech support with the zoom platform at any point in time, please communicate with me using the chat feature at the bottom of your screen. As well, you'll note at the bottom of the screen is Q&A box or Q&A button. If you want to click the Q&A to ask any questions of our presenters today and that way we'll be able to better monitor and respond to the questions. And please leave the chat to comments and say hello, feel free to do that there. You'll see at the bottom of your screen also is a CC button, CC live transcript. If you require closed captioning today, please feel free to click that button to enable and show the subtitles. So without further delay, I'll pass things off to our host, Robin Bauer-Kill, go ahead Robin. Hi everyone and welcome to another CDC care webinar. Today you're here for what's best for my collection, new approaches to environmental monitoring. Before I start, I would like to acknowledge that this webinar is being moderated on the traditional lands of the Mikosuke and Seminole people and their ancestors and I pay my respect to elders both past and present. So before we start with our speakers today, I wanted to run through a couple of quick slides as for upcoming program and some other things that will be happening. Again, my name is Robin Bauer-Kill go I am the CDC care coordinator. You just saw Mike Morneau he's our senior producer at learning times again if you have tech questions feel free to use that chat box and Mike will be there to help you. We have a home on the web connecting to collections or hopefully that's where you found us to register for this webinar. On that website you'll be able to see all sorts of fun stuff so I encourage everyone to go there if they have a chance to. On the website, we have our webinar archive which includes archives going way back all the way to the late the early 210s. Also our courses archive. There's also some great resources which are curated by the CDC care group and a jump to our community page so everything can be found there on the website again connecting to collections.org. Again our community. The nice thing about the community is that it is moderated or monitored by a bunch of conservators who have volunteered their time so if you have a question about collections care or anything in your. That you might be dealing with please put it there and we'll have a great group of experts and monitors who will be able to answer it for you so I do encourage anyone who has questions about collections care to use that community when they have a chance. You can also find information on our program on two places on social media on our Facebook page which is CDC community and over at CDC care which is also our Twitter handle. So again if you're looking for information news items anything else fun. Please join us on both those platforms. We do have an upcoming webinar on May 19 that I would encourage everyone to go take a look at it's called collections emergency kits and it's part of AICs mayday prep activity. We get to discuss all sorts of fun new collections emergency kits there's a new guide out there to help you build one if you're interested in it. So again if you're interested in that subject I would encourage you to go and register for that free webinar happening may 19 at 1pm eastern. As Mike said you have two options within within this platform to communicate to our group you have the chat box which is there for everyone to say hi I think there's a lots of high Susan's happening in there right now which is great. And then we have the Q&A box. If you have a question for our panelists I do encourage you to use that Q&A box it just helps us keep track of the questions as time goes on. If you want to talk say again hi to Susan. If you want to share what number COVID shot your happen to be on right now feel free to use that chat box that's the place to do that. But today we are really excited because we're going to be doing the what's best for my collection new approaches for environmental monitoring. We have two presenters today that you'll be hearing from one is Susan Barger Susan has worked in the field of conservation for over 40 years in various capacities. She's a conservation scientist a university professor in material science, and working on professional development she was also the former C to C care coordinator so we're excited to have her back on the program. And we have Austin senseman who's CEO of conserve Austin started his academic career in qualitative and quantitative social science research. He's worked within the field with big data and cloud community, excuse me cloud computing. He kind of switch gears and joined us over in the museum or the cultural field where now he works on effective preventative conservation tools starting with environmental monitoring. So I'm going to go ahead and stop sharing my screen. I'm going to hand control over to Austin and Susan and we will see you at the end of this presentation for Q&A period. I'll also quickly add that we're going to have a survey for everyone to fill out at the end and there's also a handout on our website that I'll link in the chat as well for all of you to access. So without further ado I'm going to go ahead and hand it over to Austin and Susan. See you soon. Hi everyone. Hi. So, I'm speaking to you from Santa Fe, New Mexico, which is the land of the Ted was speaking Pueblos, the real river region of the Rio Grande. And we're going to talk about environmental monitoring. So, Austin, you're in charge of me so let me have the next slide. So, I saw what conserve was doing and I was interested in it because I think as preservation professionals. We've often done a bad job at letting people know what to do with environmental data. So, looking at it the museum environment which was was first talked about and written about in the 1970s and 80s. There was an important book by Gary Thompson, and there were some international meetings and on. There were a lot of different things that we told people they needed to do on. And then, can I have the next. Austin wake up. And then in the 1990s, the CCI and then the CCI talked about the 10 agents of deterioration and so we began throwing those around and some of those have to do with environment water humidity temperature pollutants and with digital data loggers were were introduced. And then, in the 2000s, we began having more collections focused monitoring tools in the 2010s, there were international protocols that were set up and national protocols about environments and museums and libraries and archives. And we still were not very good at letting people know how to analyze data so that's what we're going to talk about today. And now in the 2020s we have some new stuff. So, let's go on to the next. So, what's involved in environmental monitoring so first of all you need to collect data. And so that data you could collect with a hygrothermograph or with a thermometer and a psychrometer you, you could also use a light meter that kind of stuff. And then, once you have this data, you should analyze it so you should understand what things are going, you know what works what's not, and then you share it with the people who are your stakeholders with your building management with the people that you work with in your museum or your archive or your library, and hopefully you use that to take better care of your environment. But unfortunately a lot of times what happens is things get stuck in data collection. And so people get stacks of data, you know, big roles of hydrothermographs or they get, they have, you know, a database where they're looking at it, but they don't know quite what to do with the analysis. And that's what we're going to talk about today. So let's go on to the next slide. Rob Waller, who began looking at risk says, in its simplest most absolute sense the goal of preservation is to make sure that a collection which people receive at time x will last until time y or until forever, because that's what our job is as preservation. And what's happened in the last 1015, almost 20 years is, we have now said to all of you that managing your collections environment is a requirement for good collections care. We haven't necessarily said what it is that you need to do once you get all this data, except that you need to do something. So we could have the next slide. So the, the perceived constraints to good outcomes of getting information is that collecting data is manual it's time consuming that. It might be wireless stuff but it's, it might be. It might be hard to expensive it might be difficult to maintain on analyzing environmental data and is hard. And a lot of people think that you need to leave it to conservators or to building engineers but what happens if you're in a, in a institution that has neither of those things. And that sharing environmental data is complicated. And that means sharing it with people that are in your team. And then there's not much you can do to improve your outcome because maybe you found out that there was an incident with your environment, two weeks ago but it's already passed. And so we'd like to help change that we can go into the next slide. So, these are the things that that can serve as hoping that collections data could be automated and and effortless and that wireless could be inexpensive and simple. And that environmental data should be straightforward to anyone with collections experience. And that sharing that data should be simple and you should be able to use the data so that everyone can understand it, and there's always something you can do to improve your data to improve your environment. Um, this is this is the very large array on the planes of St. Augustine if you've heard the Dylan song on in doubt only Mexico and these are huge radio telescope receivers this this radio telescope has 28 of these things and they can stretch out over 28 miles. Or sometimes they're all crammed together depends on what they're doing, but it's collecting data all the time. And the thing that's interesting about it is that none of it would make any sense if there weren't people there to understand this data and to put it out in ways that other people can use it. So, um, that's that's a really important thing is. And for me, that the reason that we have this slide is that I really want to have practical accessible inexpensive tools for people in small institutions so that they can understand this stuff I don't want them to keep piles of their environmental data that they bring out. When they have a survey or if someone asked them if they keep do environmental monitoring, I want them to have tools that they can say, Yes, we do and we use it, we use. Okay, now I'm going to turn this over to Austin. I was interested in conserve because I heard Austin several times, and I was curious about what they were doing. So, Austin. Hey, I'm Austin sense man I am the CEO of conserve and I want to thank you. Susan for inviting me to tell the story and thank you to FAC and the connecting the collections care team for allowing us to be here today so CEOs kind of fancy title really I'm a person who leads a group of people who spend every day trying to to make things a little easier for people to take care of collections. And the way we do that is we, we go out into the world and we listen to people. And so I think I like to start a little story about how we got into this business to understand kind of what we're about so my background is not in collections care. Increasingly every day more and more it is. But I came to this field after an early career in analytics so helping people take numbers and use those numbers to make decisions that's kind of the Fisher price way that we talk about it it's taking data and turning into information. And my partner, Nathan McMillan is a software engineer. So he's really interesting skill sets, and we went out in the world, and we're in search of an interesting business to start. And the person the screen is Margaret Burnham someone has a warm place in my heart, Margaret was the first person to walk me around the museum collection and show me how environmental monitoring was done. And it also happens to be my co founder Nathan's mother. And so this is through this interesting confluence of events where we were in a museum, thinking about how we could use sensors data and analytics to help people improve outcomes, and we got to see the museum case, really up close. And I wasn't just talking about it check you took us around the museum, and we went through the whole process together. It was the first time seeing this and we thought, you know, like, this feels like it could be better. And that was sort of our assumption is we went out, and we really started talking to a lot more people about, you know, what's difficult about this how would you like it to be what's in your way, these kinds of questions. And the thing we kept hearing over and over again, which we heard early from Margaret is that this is a bit of a hassle. Part of the problem is that most of the tools that are available to this kind of work. They're built by folks who don't necessarily focus on collections here. And wouldn't it be nice and you'll see this as a theme that comes up over and over again, wouldn't it be nice if we had some tools that were built for us. So that's kind of what we got to work on. And I want to come back to the slide that Susan showed briefly. As we were looking at this from the outside initially, we identified these four areas where people need to be successful to environmental monitoring well. And these aren't just parts of the process these also turn out to be the places where people can get stuck. So, you know, data collection is too hard. We don't know how to analyze the data it's hard to share. So they're the steps that make people successful. Well at the same time they're also the place where people get stuck, and they can't get the outcomes that they want. So, Susan went through some of these perceived constraints and then how at conserve, we aspire to see the world. So these are the each one of these areas that you saw on the slide so data connect collection analysis sharing and outcomes. And when we hear people feel stuck in each one of these areas, what we try to imagine is a world where we can deliver tools, education resources, so that people start to say things that sound more like this. So in any of these sentences, these are the feelings of being unstuck these are the feelings of, you know, making progress. And so, this is really at the core of what we think about when we work on monitoring. And so, what I'd like to do today to get started with everyone is in each one of these areas collection analysis communication outcomes, we've quickly put together a little maturity model. Right and a maturity model is, it's an understanding of where you are in each one of these areas, and what it looks like to make progress in each area. And so, we're going to be talking about a free tool today. So we'll get into the details of the tool in a little bit, but conserve cloud is primarily a tool to help analyze environmental data and then communicate it to the rest of your team. All right. And so, what we've put together is a little quick survey and I'll share the link with you in just a second in the chat. It's six questions. It's quick it's anonymous. It's meant to help get a feel for the people on this call where we all stack up so we'll do the survey. And then we're going to look at the data in real time, which we hope goes well. You know sometimes these data collection things in real time go great. Sometimes we run into a few little speed bumps. So let me grab the link really quick. Let's see if I put it in a place where I can find it. There it is. All right, so I'm going to put this in the chat. Okay. So you can click on it. If for whatever reason you can't see it in the chat that link at the bottom is the survey. And so, if there's any issues with this, let's go ahead and put it in the chat and let us know and we'll try to resolve them for you. But let's just take a few minutes and do this really quick. It's really interesting to us, and I'll talk a little bit as you're doing this. It's really interesting to us when we work with people to understand where you are. If we want to figure out where we're going or how we're going to make progress. It's got to be rooted in figuring out where we are today. And that's what this survey is about when it comes to data collection. Where are you? No judgment. Just where are you, you know, are you are you not doing any data collection. You know, do you have hyper thermographs do you have historical data loggers you have something wireless, just understanding where you are is how we get started. So, I'm going to go check on the data and see how we're doing. We're getting some results coming in. Okay. So, while we're doing this. So I want people to have some time to go through this even if it's just a few minutes. I thought we could do a quick Q&A. So, you have the Q&A up in in zoom. So what I'd like to go ahead and do is if you have questions that you'd like us to go ahead and get in our minds as we go through the rest of the presentation or things we want to talk about at the end. Please, go ahead and put them in there. So, Sharon Pinton, I see you put a note in here. Sharon asked, and I'll answer this live, right is there a recommended rate of data collection. She uses three to five minutes on the loggers that she has, and is there a recommended rate of how often you should be taking readings from your environment. Now this is interesting, it comes up a lot. And the way we tend to think about it is it depends a lot on how effective your HVAC system is is in responding to your environment. Meaning if I went and move the thermostat up a degree, how long would it take for that space to adjust. Because if it's going to take 30 minutes for a space to adjust, then having that reading every five minutes isn't necessarily helpful. We want the readings to kind of be at the same granularity or the same kind of frequency as the systems that we use to control our environment. So, Sharon, I hope that I hope that answers your question. For us, when we install equipment for clients, we typically do every 10 minutes. So, okay, I'm going to hit refresh one more time on this survey. Let's see where we are. Let me filter some things out. If you've gotten through the survey, could you just drop a note in the chat and say, yes, I'm done. If you're still having issues with it, maybe drop a note and say still working on it. All right, cool, cool, cool, cool, cool, cool. All right, there we go. Okay, so we have about, oh, I'll just pull the responses over so we can take a look at this together. I am going to provide a live clickable version of this after the presentation, and it's really fun to click around. You can explore the data in real time. So, what we've done is for people that in each area, say, for example, data collection, say, well, I don't collect any data right now, we would just give you a score of zero. Now, if you say, yes, I collect some point in time readings, we give you a one, two, three, you kind of get the idea, you kind of get a point depending on which level you're at. And so, what we want to look at here is for organizations that are larger or smaller, different types of collections, how are people doing. So imagine looking at this middle area right here and just seeing unsurprisingly, right, I think I think we're comfortable with this smaller institutions are not as mature in their efforts in these four areas as larger institutions. And that shouldn't be a surprise to anybody. So part of the constraint, of course, is great tools. And that's one thing we're going to be looking at as we talked about the conserve cloud tool that we offer for free. So, I'm going to pull this over, you'll get a live version of this afterwards you can click around your hearts content and like explore the data and it's it's really fun. By the way, before I slide this off like in my previous life and I said analytics. One thing that was really focused on was power bi. And so if you're on the call and use power bi and your organization please reach out and say hello because it's a, it's something that's still very near and dear to me as an analytics tool. All right, fantastic. Okay, so I said the conserve was about listening. And that's how we build our products and so this conserve cloud this free tour going to look at for environmental monitoring. It wasn't just built on what we thought would be a good idea for the community was built by going out and listening to people and asking what you need. And that was at large collections it was a small collections everywhere in between. We built something that's accessible for everybody. So a large collection with more resources is going to be more or less. Okay, without us. When you get down to smaller collections with fewer resources, they rely on more free tools to be able to get the job done. And so we wanted to slide in there and make sure we had a tool that worked for smaller collections because smaller collections are smaller collections overwhelmingly. So, Sarah cordomers somebody we work with at the University of Arizona Poetry Center and she just said it really nicely which is just that feedback helps us grow. It helps us grow individually in our own collections and it helps us build better things for the community. And so conserve cloud is this thing that's the product of us going out and having all these conversations. To talk about our tool I want to make it clear that we're kind of in a golden age of analytics there are so many tools out in the world. Today verse 20 years ago verse 10 years ago verse five years ago that are amazing analytics tools that help people take data and turn it into information. And so I'll introduce a couple buckets here I mean the first one is things you might be familiar with. These are general purpose analytics tools, things like Excel Tableau. You can use these tools with the environmental data you have to produce good analysis. The challenge here is it's very much do it yourself. So, these tools are not focused on monitoring, and they're not focused on collections. But they're incredibly powerful. So you have to show up with a lot of subject matter expertise and knowledge of analytics tools to do this well. In this bucket we have analysis tools that are focused on environmental monitoring. So many of you will recognize these as things you have in your own collection, things like the hobo where from onset and other tools. All of a sudden you're in an analysis tool that is focused on monitoring, but it's not necessarily focused on creating a better collection environment. And that's what the third set of tools is about. So these are analysis tools that are focused on monitoring that are also focused on collections. And here, the learning curve is a little flatter, if you're someone taking care of a collection, right a lot of the assumptions are the things that you care about already built in these tools. I just want to show up with the data. So my message is, you should know what your environmental monitoring analysis tool is. And for everyone it's going to be different. We work with people who still spend a lot of time in Excel, and all over the board. There's no one answer that's right for everybody. The goal is to try to find the thing on this board that fits really well for you. And so I'm going to introduce you to our tool, which is a free tool. But I would encourage you to go and find what fits best for your collection right that's the title of the talk. What's best for my collection. And that answer is going to be a little bit different for everybody. So here's what we've put together and I want you to understand a little bit about how we approach this. So as a company, our vision is a world where anyone who takes care of a collection can make progress every day toward better collection outcomes, no matter budget geography or capacity. So in our free tool we try to address three things. One is that it is free and that means unlimited users unlimited amounts of data unlimited amount of loggers. And the other thing is it's BYOD that's bring your own data so you don't need to own the sensors that conserve makes to use this tool. You can use any data logger out in the market. So we have lots of people who just use our software who aren't conserve paying customers. And we love that that helps us get back to the community. And then finally it's a tool that's focused on analytics and sharing. Excel is my personal favorite analytics tool. But it's not designed to figure out what's going on in your collection. You can necessarily set an environmental level out there understand what's going on with mold, or casually review the weather, compared to your space. Right, it's not necessarily designed for all those things. And so that's what we've put together. This video is going pretty fast. I promise you if you end up in our actual software tool. Things don't move that fast it moves at your own speed but this is a quick recording to give you a sense of the look and feel of what we're trying to do. So, in the free version of our tool the things that we're bringing to the table are the major environmental readings that people care about so temperature relative humidity and light. So we've brought weather data right alongside your data in the platforms you can understand what's going on outside the building and how that relates to what's going on inside the building. Importantly you can set environmental levels. We'll talk about this more in a minute, but the first thing we work on with every user is to have a good sense of what we're trying to achieve in our collection. So that's a good clear goal it's really hard to know month over month year over year. If we're making progress. And then we've put together a series of something from the business world key performance indicators if you hear someone refer to a KPI is what they're talking about. But what we've done is we've taken this squiggly line, and we've tried to condense it into some simpler numbers so still respecting the complexity of environmental data but to try to simplify it a little bit so. For example, what percentage of the time this month were you within your temperature range. Right, so to take this line and to say 75%. And to be able to take that 75% number to go back and talk to a facilities person or the other people on your team and say, you know, can we make this number go up a little bit next month what do we need to do, and have some simple numbers that are more like a scorecard. We can make observations in the tool, we call this see something say something so you know you see the relative humidity, go up over the course of a day something dramatic. You can make a note directly in the tool that says, hey, you know, like someone left a window open and it rained, and water got in that collection, and the relative humidity went way up. It's a good not just to our teammates but also to our future selves. It's the kind of thing where you can go back and look at that data in a year and say oh yeah that's what happened. And it's very common to have to explain those sorts of things when you're doing a facilities report. When you're applying for a loan when you're writing a grant, you want to have a good narrative to go along with the data that you have. And it's like facilities reports built in here. As of a couple weeks ago, we also have integrated pest management tools in the platform so the goal isn't for us, not just to build an environmental monitoring tool, but to build a tool where we can look at all the different agents of deterioration and environmental monitoring was the first thing we worked on we're starting to work on pest. Now, it's, it's a really fun evolution to sort of bring these things together for the first time. So, what I want to present to you today really is, if you want to use this tool how to get started. We have a collection survey. It's different from the survey you just filled out. It's still very brief but we ask you things like are you doing monitoring today, what are you doing, you know, what are your challenges, are you an integrated pest management today what are your challenges, you know these kinds of things. We're trying to zoom in on that question of where are you right now, because the way we use this survey is we'll set up a time for you to have a call with, if, if you're listening to this and it's April 2021 with Melissa King, who is a preventive conservator on our team, who's going to sit down with you with your information about your collection, and get the platform tailored so that it works for you, we're not just going to give you a free tool and say good luck. We've just seen how often that doesn't work we're going to give you a free tool, and a knowledgeable preventive conservator, and we're going to put you on the phone together for half hour, and get our things set up for you. And after that, you're in the platform, and you can start that process then of period over period, asking that yourself that question of, are we getting a better outcome for our collection environment, which is what this tool is all about. So I want to tell you a little bit more about the onboarding process itself because this is really important so it's really easy if you are not an expert in environmental monitoring. And if you're just getting started to feel a little overwhelmed by the process. There's some really critical things that if you do them once upfront. You've set yourself up for success. And so, on the onboarding call we're not going to necessarily deal with every single one of these things with these are some of the things that we typically talk about. So within our system, right you have a clear sense of your location and all the different spaces. This is where we usually start with people. And in each space. Do you have a sense of what you think the environmental targets should be in each space. Should it be more or less the same throughout your collection is the storage area different. Is this gallery different from this one because the objects that are in it. What are your goals. We're going to introduce the key performance indicators to you so you understand how your numbers relate to the goals that you have for your collection. We're going to show you how to record observations so as you see things you can take notes for your future self and for your team. We'll look at make sure your weather data is set up correctly so you can see what's going on outside your building and start to learn more about how that affects your collection. I'll show you how you can invite the rest of your team to the account. It's really cool I think in our application that you can bring your whole team. And that means management it means the facilities people if that's something you have in your collection, it might mean a board member it could mean an outside consultant. That is to bring everyone into one place we can start having this conversation, and we're all looking at the same thing. So that's the onboarding call. So really, we have some goals like things we want to talk about with you but it is a call that's ultimately for you. And so we, we will let you lead us there but we, we certainly have some things to share with you during that experience. And you know here's a list of some of the people that that we work with. And there are really two reasons I want to share this slide. One is I want you to see that we don't just work with big folks, we do work with a lot of big folks. I didn't necessarily put their logos up here, but we work with a lot of folks I would call small and mid size institutions. These are not folks with, you know, infinite resources, infinite staff. These are people with with modest budgets, who are using our tools, don't make a difference in their collection. The second reason is here I want you to see that there aren't any restaurants science labs manufacturing companies, you know, on and on and on. There aren't any other types of organizations on here. We build things for collections, which is fun because that means if you email us if you call us, you never have to spend any time explaining to anybody, what you do, which is a nice feature right. There's a phone, there's a shared understanding about what we're trying to do together, and we can start working on it. So, I want to leave a lot of time for questions. Because that's really the crux of this. I have some more supplemental materials I can go through to look and give you some tips in each one of the areas of collection analysis sharing and outcomes, and we may find ourselves there as we answer some questions. I'm listening to that quick overview. And what do you think Susan you want to answer some questions. Yeah, sure. Well, welcome back. Well how about this, you know what I've really enjoyed working on this with you Susan as well because you've have so much experience practical experience and being in collections and helping them get this right so some of these that I think you know I want to know what your answers are to these so Megan Ramsey has asked how many data loggers per square feet in a building and you know what height should you put these things and basically how do you decide how many sensors you might need and where to place them. Are you asking me, it depends on you. Yeah, we know the answers it depends. Yeah, I mean, I can tell you a story about a small museum that I went to do some consulting for and they told me they had rock steady environmental data, but they had a problem with borrowed objects in a particular area. And what I realized as we were standing in that area that every time the door open, there was a big Eddie of cold air that went around this problem area. You know, the hydrothermal graph, this is while ago that they were using was 10 feet away in a totally sheltered area so nothing changed. And when I got them to move that hydrothermal graph. I saw that there was this huge up and down that went where these problem things were and they were able to take care of it. So it depends on how complicated your rooms are how much stuff you have. But, um, yeah, it depends. And this I level versus ceiling floor. You could have drafts on the floor, you could have eye level, and it really depends. So, I was just going to that work in the Everglades. And so there it was, you basically any enter any door that entered the Everglades we tried to have stuff even though we had like, you know, like the vestibule setup so there could be some temperature control with those. We still would just put loggers by all the doors because we dealt with such extreme environmental differences throughout the year that that was always really helpful so I think that sometimes it is kind of look at your, your situation and kind of figure out the best places or if you know there's a trouble spot or you have a hinkling that there's a trouble spot like usually putting loggers in those spots as well. Yeah, absolutely. So just, it really depends on how homogenous your environment is you can imagine a building that was one giant room and the air circulated perfectly. And you could use one logger because the environmental conditions were all the same in this in the space. And you can imagine the same square footage that was a building that was broken out into 20 different rooms. And in each room they are kind of moved differently. And we had to monitor them each separately to really understand what was going on. So, it's really about the airflow is really a great way to think about it. So, Michelle persons asked, what's the professional standard for retaining environmental monitoring logs and how does the conservative system address this so I'm not aware of any professional standard for how much you should retain right not necessarily any sort of legal standard for maintaining things. Our philosophy is that data storage has become incredibly cheap. It's becoming incredibly expensive so when we say on our free tool you can have unlimited data. And this is what we mean you can have as much data in there as you like. And the idea be you can click a button anytime and export it in a nice non proprietary format like a CSV or something like that so that it's, it's yours. We don't want people feeling like stingy about keeping data. Because you just never know when it will become useful and trying to analyze what's going on with a space. Yeah, for instance, if you have a room that has a slow leak, you might not notice it for several years. And that that would be an important thing that you would need to know that would help when you got that taken care of. I mentioned in the chat real quick that there is an archival standard for retention of internal museum data, including environmental data. If you want to put that number in the chat feel free just so everyone can see it. I know we always use to keep it by bank records like seven years is usually what we would keep back just to keep that as a market across all records but yeah if you have if anyone has any standards that they're following feel free to throw them in the chat so people can kind of compare and contrast what people are using. All right, we have so many good questions which I love. It just philosophically it like feels good to me it's the same way we've gotten built things as we like to listen to people's questions and, and just really have a conversation so how about this. What are some features in your software that you have received feedback is being the most useful. So this is from law and owner so thank you for this. Right. Imagine using a piece of software. If you're familiar with Excel. There's so many different features in it. You have certain types of people that use different things more than others. Now, we don't have as many features as Excel, but you do see a very similar thing. I think what is far and away the most common is the analytics part of the application where people are trying to take data and turn in information. So this is a major constraint that we see. And we talked about a lot is that an organization can have data, but not have information. So the data by itself, you know can just feel overwhelmed and you don't know what to do. So we'll get to this in a second but things like the key performance indicators where we say, Hey, you're within your temperature 70% of the time. The ability to quickly go and look at that and look at that across your different spaces and say, Okay, like that's how we perform this month. You can consistently do that month over month and get into that habit where you're trying to understand if you're making progress or if you've, if you've regressed in some way. That is far and away the most common thing that people are doing is trying to answer that question of, are we doing well, are we not. I would say second to that is probably people making observations. Right, because it's crazy if you're trying to put together a grant or facility report for a loan. And you're, you have all this environmental data and you're going and trying to look through your email and trying to find how I think last summer I sent an email about this to someone because the HVAC system went down I need to explain this kind of find that email and and so we see people getting to the habit of taking those notes directly in the data, which is cool because then when you produce the report for that facilities report all those observations are simply in there, and you're done. And so that's become very, very popular. Thank you for asking that Lori. But at some point I'd like to ask you, you know what's what's your, what's your favorite feature in the tool I hope at some point, we get to have that conversation. And then you see a question out of here that you'd like to pull out. There's so many. I know there's great questions in there and someone did share the maintenance timeline so I appreciate that I was trying to remember what was in the new facility report to if they I know last time I looked at it was calendar year for environmental standards but I couldn't remember if it was much longer than that. They are asking someone did ask how is the data from different museums in your cloud secured. So you have cloud storage when it comes to Yes. It certainly makes everything simpler to store things on the cloud. We've segregate everyone's account through security, right so you know, you're only going to see your data. We do have some options, which I think are unique to our platform. You can invite someone from outside your organization to come and look at your data so if you work with a consultant and maybe this consultant works with 20 different collections. That person can log into their account and separately right they can go look at your data or another. It's not aggregated together but they have the ability to easily go and look in your data and work with you if you're interested in that. Otherwise, everything, you know, is totally segregated and secure. So, but I want to add I think one of the interesting things about what conservatives and doing is that we all have collections with a lot of different stuff. And a lot of our the information that conservators have have based the care of objects on our specific things like they did in in. They did accelerated aging studies on this or that kind of material. So the thing that can serve in theory can allow us to do is to look at what real life aging is with different kinds of materials and I think that's a really promising thing that it can do. There's a question that I think you want to answer, Austin, which is on if this is a free tool, how is it supported. Yeah, so we are a business, and we are in the business of selling really high quality environmental monitoring solutions for collections so we have wireless sensors that you can set up in five minutes they're really easy to use they basically take all the hassle out of the data collection, and then all the pieces down line things like real time alerts and all that so that's our business. And as part of that business model, right, we offer this free tool. The free tool serves two purposes. It's for the community, and it's meant to increase access to quality tools. But of course for us, it is also a marketing exercise. So if you use our free tools for a couple of years. And you really like what we're doing and you think oh I could use some environmental monitoring tools. We would love to talk to you about that. But there's no, you know, there's no requirement that anybody be a paying customer. That's, that brings us a lot of joy to work that way, actually. And so the business model is funded like other businesses through, through profits. And, you know, the way I like to think about that is a successful conserve is a business that brings continuous investment back into the cultural heritage space. So we build better tools we build new free like take the IPM pest management tool we just built we build new free tools for people. So our success, because we don't focus on 1000 different verticals our success means that that that money comes back into the field to produce better better tools. That's what we're about. And also I think that on an interesting thing about what conserve is doing is it because they are a business, they are not relying on grants that come in that may or may not be funded that it's a it's a whole different way. Then we have done things so I think that's an important thing. Sorry, go ahead Austin. No, no, you go ahead Robin. I just want to say I just want a fascinating question because I've gotten into this argument when I work full time at museums says is the data analysis from this conserve cloud or anything helpful and convincing facility managers to help fix H back issues. There are some managers that don't necessarily believe Hobo data loggers are as reliable as the H back readings from their system and I know I have gotten into passionate debates operations people about how my system says one thing and their system says something else and it's an interesting time. So I just wanted to get some comments from you guys about that. So it's ultimately it's a, at the end of the day it's a human humans communicating problem. You know it's not a technology problem it's like people with different points of view trying to solve a problem together but you know we see this as a very common constraint that people feel is like that they're not necessarily on the same page. And, you know, if you have an HVAC sensor that's in the return up near the ceiling, and you have a sensor that's about eye level on the wall. Those can be really different, even though they're in the same room. And so it's just like having two clocks and trying to figure out what time it is. It often can be a little bit bit maddening so the way we've tried to approach this is to build a tool that you can easily invite the facilities people and so for example you have a report that you're looking at. You can share it with just a link where you can email that person a link and when they click on it they're looking at the exact same thing you are. So, just to try to bring people closer together into one conversation. And it's not about who's data is right. No one's ever going to win that conversation. But it is about the facilities people understanding that a sensor on the wall. You know next to the collection that you care about is representing something different than a sensor in the return. And that sensor in the return is related to an HVAC zone that might have three or four different spaces associated with it, and isn't necessarily representative of each space within your building. And so there's just, there's some mismatch there. But the number one piece of advice we give people is to sit down with those folks and ask them what's important to them. And to start there by sort of recognizing the work they're doing and having a really good sense of what their goals are. And to try to find ways to help them meet their goals and it's, it's great you know, if you want to get love you have to give it you know sort of how we think about it and to get people help people get engaged in that conversation in the right way with the people they work with. You know, you can create good relationships there but they don't always start that way. Susan is that reflective of your experience Robin but I mean, yeah, right. Andress later asked my institution currently uses the climate notebook for environmental monitoring to monitor monitors compatible with conserve, and then another person asked about well the analysis part of the software have features similar to IPI's dew point calculator time weighted preservation index. Yep. So the climate notebook is an awesome tool. I mean you talk about being pretty bold, like, you know, and pretty early and coming out of the collections focus monitoring tool. I see a lot of people who are using that tool and are completely satisfied with it. So we see them more as like a, you know as an ally and trying to help people saw this problem together. Our tools are similar. I think the, probably the big difference in my mind is the speed at which we operate so my team releases new software every couple of weeks based on things we hear from people. It's a very fast moving process and it's not uncommon for someone to say hey like this feature would be really interesting to me, and then 30 days, they have it so it's a, it's a different kind of focus where we move really, really quickly, but fundamentally you're going to see some of the same things so like the dew point calculator. Things like mold risk, right looking at relative humidity and temperature. Things like the time way to preservation index is ultimately a damage rate calculation. Right so we have a similar set of calculations are around damage rate. So you'll see very similar ideas expressed. And yeah, we really looking for more, more feedback there so we have some other things that we've added on there like a score that we've provided. We also deal with light levels so there's some things we have the climate notebooks not doing there's some things that the climate notebooks doing that can serve not doing. So it's really up to you to sort of figure out what's going to work best for you. Okay, on Luis Enrique so so artists on says, is this available internationally. Yes, absolutely. In fact, we started selling our monitoring equipment internationally over the past couple of weeks actually that's like a new thing for us. And so we've had to go through the exercise of getting ready for GDPR Europe and doing all these things right. And so, wherever you are internationally the software is available to you, we don't necessarily necessarily sell our monitoring equipment everywhere yet. But yeah, we are having conversations internally about doing some translations of the occasion as well. So, if you're one of those people outside the country is not English first necessarily like make some noise like we want to like hear from you and understand how we might support not native English speakers better. And this is an interesting question saying, do you think the aggregated group data will help update environmental standards from the strict 70 degree, plus or minus five 50% humidity, fabulous rule that we've always known something more flexible sustainable and based on geographic location etc. I've, I've on other projects I've read that you know like they folks out at Getty and some other groups like we're looking at different levels and I know, you know, again when I work in the Everglades, those 70 degrees 50 plus or minus humidity was like laughable summers to try to get that so what are your thoughts on that. I have so many thoughts that is probably the way this is probably the reason that Susan and I first connected. So I'm going to share Susan to talk, you know, talking about data, and what we might be able to do to create better collection outcomes to create more sustainable collection outcomes. Right. And what we have today, the world we're living in is we're basically in the dark. Right, we have a general sense of what's better or worse for a collection, meaning, you know, if it's a little cooler in your collection, that's probably a good thing. If it's a little less humid, that's probably a good thing. Right, and we have some ranges that are out there. But we don't have a ton of data yet. And I'll say a couple things about where we might be headed. So the first is historically what we've done is we've gone and tried to create damage models around how a very particular type of object responds to a very particular set of environmental conditions. These are laboratory experiments. They're relatively expensive. And when we get done with one of those, we have a very, very thin slice of understanding about the world, because in your collection and all the collections represented here today, we have a huge diversity of objects a huge diversity of environments a huge diversity of different types of damage. And so, building models in the old way will never solve the problem of figuring out this larger context. What's cool though is because we have diverse objects diverse environments diverse damage. That experiment is already going on in the world. We are just not measuring it. And so if we can get to a place where we're measuring that better. We can use that larger data set then to build models that are much more relevant and more specific to the problems that you have based on your geography or your collection type or your building type or these different types of things. And so, for small and midsize collections on the call what's, I think, particularly interesting about this is, we want to with people's permission to use data to help build those models to give them to researchers to give them to academics, right. And that way, as we're doing environmental monitoring for our collection. We're also contributing to this much larger story of figuring out how to help every collection. And that's a big data problem. And it's one that could be solved in our lifetimes right like we could have a much, much better answer that question, other than, here's the general guidelines. So, this is something I'm personally very excited about. Along with the international access. Madeleine Richard said, when it comes to the cloud tool, are we able to negotiate to make sure that the data center that contains our data is within a specific country. Sometimes we have legal requirements to make sure that data is kept within a specific area. That's, that is not happening right now. Right, so what we're going to need to see us personally is like a lot of demand from a particular market where that is a requirement I think you know Germany is like that. And, you know, if I see a lot of folks in Germany who want to use our tools and they have that challenge, we will go and try to solve that for them. And it's going to be based on people, you know, people making noise and coming to us and saying this is really important to us. It's not terribly complicated to do. It's just something that we'll do as needed. Rick Kirchner asks, does your system allow overlapping multiple sensor data on one graph. Yeah, so we didn't get too much in the specifics of analysis but we kind of think of three different views that people want to see. People want to see one measurement like show me temperature and show me the temperature outside. Right. So if you think of a view or people want to compare reading so show me temperature relative humidity and do point for the space on a graph. And then the third one is show me different spaces compared against each other. So I want to see all the spaces in my collection I want to see what the temperature looks like for each of those spaces together. So, our standard analytics packages is those, it helps people answer those, those three questions. And Julian Snyder asks, what about correlating storage room conditions with closed cabinet conditions, also incorporating radon data captured inside of cases work. That's the first time anyone's ever asked asked us that. Which is, which is good. We have had conversations about cases on micro climates, typically just around temperature and humidity sometimes people are interested in co2 to try to understand the air exchange in a case like that's the thing we don't do that currently. But we certainly have free and paying customers who have sensors in in micro climates. So if you have a hobo data log on a microclimate you take it out and you put it in conserve cloud we just treat it like any other sensor. I'm going to say the radon thing. I'm going to call it a little less oteric. Maybe that's not true there are more people that are focused on that that I think but we've built a system based on a technology and we haven't talked about this but our sensor technology is based on something called Laura when we serve this open format radio technology. It's easy in that that technology to bring different sensors into the situation so do you need a co2 sensor a water leak sensor. A radon sensor if there is such a thing for Laura and it's, it's an open format so we do. Yeah, I support other types of measurement. I think Julian has minerals right. Got it. Yeah, I'm so I've been a lot of questions about whether you can provide clients with information about using data to support organizational and environmental sustainability there's been a lot of stuff about building sustainability and environmental systems can you address that. Yeah, I mean so the first thing we do you know when you set up a new target for a space is we just we make some recommendations, you have templates right like here is a template that's based on the ASHRAE standard for a more sustainable collection environment so. You know the first thing we can do is to try to nudge people in a direction and show them that they're different options when you're thinking about goals for a space right here's the classical tight control. Here's a looser more sustainable control. That's where we're starting. I imagine we're going to end up in a space in a place where people can set different targets for different seasons of the year. So there, it's okay for their environment to drift up and down throughout the year and we can capture that nicely. We're not doing that yet, but that seems very, very likely that will work on that. Yeah. More analysis questions here. Let's see. This is, I think this important one from from these steps Lee. Is there a way to integrate your software with our existing collections management system software. Yeah, you know we get this question a lot. And I think it's a it's sort of an open question for us right there's a lot of discovery here like technically right it's not terribly complicated right have to have some cooperation between vendors but the question we're more interested in right is, what, what do you hope to accomplish with that. And I think a common answer we get is just to understand maybe condition reporting on an object level versus the environment that's very common thing. So there next, can you integrate this yes we could, you know, what are, you know, what are we shooting for there. And over time I think if we can get a better answer to that question from people, and keep asking why why why kind of in the right way so understand what's going on that that's something that we we certainly could do. We haven't really nailed down. What's the true value of it for people yet. Cecilia winter says, I read on the website that conserve wants to use data science to develop model models for environmental degradation. Could you explore this a little more, especially how do you correlate damage with environmental data. And how do you use this the software to go beyond that traditional anecdotal mode. Yeah, so this is what we were talking about a minute ago we're talking about using data from this sort of real world experiment that's going on. Use this big data set to build, build models, of course the missing piece there right now for us is to understand damage. Right, we have a basic sense of objects, at least, you know you do coming from your collection we have a basic sense of environment. To bring the damage into it, as a data set unto its own. And so, you know I'm not sure quite how we're going to solve that yet. We might try to do some that ourselves there are other wonderful companies that do digital condition reporting that could be good partners for us there. It could, you know there are a lot of different ways we might solve that but expect us to be coming up with a solution to that before the years out, because that is the basis for a lot of the really interesting data science and modeling work that needs to be done. Okay, go ahead Susan. I'm here's another one that I guess we should talk about with the free this is from Catherine screvo beggar she says with a free tool anonymously or not would our data be shared with third parties. No. No. We, if we decide to start handing data over to academics or researchers. Right, it will be completely opt in, and it will be completely anonymized, you're not going to like find out one day that we've shared your data with someone that doesn't serve anybody. Like the trust that people have around their data is critical. And if we violate that trust then we have no, no, we have no business like, you know, serving this audience so that's really important to us. I was just going to say it seemed like people got really excited in the chat and even in questions when you started talking about the IPM service that you had just mentioned I didn't know if you could talk a little bit more about that. Yeah, I'm really excited about this we're not just an environmental monitoring company anymore. We're a preventive conservation platform we do monitoring and we do pest management and this is just something that's come out over the last few weeks. We partnered with museum pest net, which if you're not familiar with is the, in my mind like the resource to go and learn more about how to do IPM well, whether you're smaller large place, right, tons of great resources. We partnered with them to bring their pest database into our application, so that as you're doing pest identification you're using this really rich data set they have to kind of do it all in one place. And that's a free tool as well. And just to help some people understand our business model it better and how, how this, how we could make money off this. Imagine a world where you get your phone out and you take a picture of a pest trap with our app, and it tells you what every pest is on the trap and it automatically classifies it for you. And it produces the graph and you're done. That's really exciting. Right. That's the kind of thing in our software that we would turn into a piece of paid software, right, because it's totally magical. And what we do with our tools is to provide this really strong free layer, and then as we develop really valuable stuff in excess what's already out there. Those could be things that we asked people to pay for, but we're never going to take anything away. If there's something now that's free it'll always be free. And there've been a couple of questions about people who work in small institutions and one of Valentina Perez Viva says that she has a collection at home that she's monitoring. And she's working on this collection for a conservation project for bachelor's thesis. And she says, could I use concern. I work with with academic programs and people doing academic work all the time. In fact, there is a someone's writing a paper right now. We were going to send monitoring equipment to an academic program but no one's on campus everyone's at home so we ended sending up to we sent it to someone at their home, and they set it up in their bathroom. And they get this question a lot from people they work with can I hang a piece of art in my bathroom. And people generally say no, but she thought wouldn't it be interesting if we actually knew. So there's this little experiment running around relative humidity temperature in a bathroom setting. And so you'll see a paper come out about that. But for academic institutions, it's often the case that we, in addition to the free software we have we we very often will give free tools to academic programs as well. So if that's you and you're interested in that. That's definitely definitely something we do. There's been a couple of questions about how you bring in outside weather data. Yeah, does it happen on its own or do you have to input it and, or also where it is embedded with weather data where is it pulled from. Right. So the free version of this is it's pulled from your local weather station so when you first sign in to conserve we're going to ask you, you know, where are you, like what's your address. And from that information will then go pull your nearest weather station. Now your nearest weather station might not be totally representative of the weather right outside your building. And the only way to solve that well is to take an outdoor temp and our age sensor and put it right outside the building. So we have a lot of customers that do that. But what we found is for a free tool using a local weather station is pretty darn close. And it helps people start to understand the basic questions around the building envelope and inside first outside. So that's how we do it. Yeah. What's the timeline for getting hobo data loggers compatible with the conserved software. So hobo has an enormous number of data loggers. You know, we tend a lot of people tend to think of that one small rectangular one. They have, you know, I don't know the exact number but from our experience they have 20 30 different models even things that look the same may actually be a little different. And so we're committed over time to getting all of those working with our system. But it's very often the case that we think we haven't nailed it and someone will show up with something new. And it'll and we'll have to go and work on it and make that work so we're just committed to getting it and making it work over time. Hobo has a proprietary file format called dot hobo, which, you know, which we're not going to, we're not going to be able to, you know, use that right that's something that they've built that only works with their system. That's the kind of thing that drives you crazy a little bit. You know, we're committed to open formats. And so what what a lot of our hobo users do is upload all that data and export the CSV, and then bring that over so we have a lot of different ideas kind of in the pipe about ways to make that simpler. But currently it's you know bring your own data shelf with the CSVs and upload them from there. So, go ahead. Oh, I'm sorry. Elizabeth says or says is onboarding a one and done situation, for instance, if we move out of data logger later does it mean reconnecting with conserver can we do the reconfiguration on our own. Moving data loggers in a building. There is a question about that too but this seems to be if they add something later or if they move everything. Everything that we're going to teach you and onboarding or things you can do yourself, setting up your spaces setting up your levels, right it's not like we're configuring it for you and then what we want to do is basically stand right next to you as we do it, and teach you how to do it so that if you need to add a new room or a new logger or add a new level. Those are all things that that you'll be able to do. What we found is that if you get those things right from the beginning, more successful with the tools so that's why we're going to help you do it initially. And one of our commitments is that we answer the phone people call we answer emails and, and we're just a very responsive team so there's no. I don't want anyone to feel like there's a sense of one and done. You know, our goal is to help people be successful and getting better outcomes for their collection environment. And so, if you have some challenge they're like, you know, we're going to want to talk to you. D Stubbs Lee said, I'm thinking in terms of linking local history data for any given artifact with environmental history data. Can you do that. Yeah, that's a really interesting that I love that right so we have this idea of provenance or, you know, sort of chain of custody where we know sort of the ownership of something over time right. We don't have anything around chain of condition would be one way to talk about it right. I know that this object it lived in this space and then it moved in this space and then it got put in a crate and shipped here and then it lived in this space. What environments was that object in throughout the course of its lifetime. That's really interesting right that sort of all encompassing view. We refer to that as chain of condition that may just be a word that I made up but you can understand the concept so. Yeah, that would be a good use case for integrating into collection management system would be to track the environment against where something physically was and all that so yeah like not not something that's going to happen right away. But seems interesting enough that it's worth working on at some point. I'd love to see that. Elizabeth was asking about moving or adding things yeah so it's really common that you take a sensor and our data logger and you maybe put it in another room. Someone else was asking a question like we move our loggers around every we don't have enough so we move them around every couple months to kind of get a sense of what's going on. So, in the application, you can record a move. So, if you move a sensor you can say yes it was here, and I moved it into here on this day. We have a little bit of work to do on the analytic side to make sure that's presented correctly. Because what you want to see, if you're looking at a space, right is you want to see the sensors that were reading in that space during that time period. So we have a little bit of work to do there but at a fundamental level we have it set up so that you are able to to record that. And we'll get it reflected in the data in the right way, because this happens. This happens all the time and what's going on now is kind of crazy right. You're sort of making a note in a spreadsheet somewhere you're trying to keep up with it, or you're like renaming sensors. So it quickly becomes a very, a very big mess, we've seen so I have a lot of respect for the problem itself, and we've done a few things to try to make it easier but we're not totally not totally there yet. Yeah, I'm, it's interesting and Elizabeth says our says that issue came up during the MPMA conferences past spring. We integrate environmental condition monitoring data with CMS. Yeah. Robin you had something you thought should be answered. Oh, well, going back. I do have a question I just found I think it's interesting but going back to the data loggers the hobos like I always feel like those are like, you see so many different versions of those that it's almost like the zip drives from back when I was in college in like those giant clunky things that there's like that version you see like hobo loggers with serial ports you see him with USB connectors you see them with all different types so I think a lot of people run into that issue. But I'm going back to a question someone posted specific to traveling collections are you aware of any data loggers that can be used in the cargo of planes. As do airline regulations we've been adding issues putting battery based loggers within packing crates as batteries are not allowed and check in. And the only reason other reason I bring it up is because there's this whole deal with the fun of virtual careers right of registers having to travel stuff without being there so I didn't know if you had any experience with those or you've heard of anything to help with that kind of a process or if you guys had thought about it at all. So, we have. If we're in the business of environmental monitoring it makes sense that perhaps we should be monitoring things wherever they are whether they're in storage and transit on loan somewhere. Right. The virtual career thing is really interesting there are a lot of people working on it it's become really popular the last little bit. We are our partner for virtual career work is art a check. And they have an interesting solution. But it's all. It's hard to do real time data in a plane. The FAA is not the FAA which is the United States Air Force regulatory agency or sorry, airline regulatory agency is not cool with wireless transmission on a plane so it's really interesting solutions out there for that but you're not going to see a world where you're getting real time data from a plane. That's that's not going to happen. But it is the kind of thing where and by the way, if you had real time date on a plane, what in the world would you do with it anyway, right you're going to call the pilot or something you know. So, but we do live in a world now where you can take the data afterwards and upload it and understand what was going on. And I think people have this idea that real time everywhere all the time would be great but if you're not able to act on the information having real time data is not not interesting or useful. And so, I, when people think about virtual career and monitoring I want them to really be focused on at the end of it and we're understanding did this trip go well or not. Can we understand. Can we sit down and understand what happened. Not so much like in real time while it's happening. That's a super good point I kind of feel that way whenever I am. I board my dogs and they offer that cam situation to view them I'm like what I like to do. Like it's very so that's a good point I like how you pointed that out when it comes to that, you know you're really concerned with getting the data afterwards not so much what's happening right then. Good ball. There's, there's going to be a, the icon conservation paintings working group is working on a meeting to discuss virtual careers. There are a couple of questions about the kinds of reports. Beyond KPI and how this would fit into facilities reports. Can you. Yeah. Yeah, reporting in our application is an area where I think we're doing the basics well, but there are lots of other things we could do. We're doing the basics and you'll see in our recommendations about, you know, becoming a more mature environmental monitoring organization you should have a report that you look at at least once a month that's just how are we doing. How are we doing this month how are we doing the previous month are we getting better or are we getting worse. Where are the problems. Right. So we have that. And then we also have a facilities report and we just, we took the facilities report data from the AAM facilities report. And our report looks exactly like that so the idea is you could go put your data in there click a button and then go fill in the numbers because for anyone that's filled that out it's like narrative qualitative questions right data, you get to that one page and it's like. Oh, no, right because then you have to go get your spreadsheets out or get you and you have to like calculate these numbers that are actually not trivial to calculate. And so we try to make that really easier, press this button will give you the numbers you can write them directly into the report and you're done so that's what we've done with our facilities report is just try to make it easier for someone to actually fill out the facilities report in the US. If this, there are two questions here if somebody requested access via your website. Are you automatically added to the web to a waitlist. Yeah, I have to wait. Absolutely. So we're just trying to get people off the waitlist as fast as we can. You know, it takes some time to sit down with people for review their survey data sit down over 30 minutes, you know. I can't promise you anything there other than we are going as fast as we possibly can. And that's when it when you get off the waitlist and it's your time you're going to get our full attention. You're going to have a totally personal conversation with you. But yeah if you go to the website and you fill in one of the get started forms, and you fill out the survey that we have, you're on the waitlist you're ready to go. So, yeah, I rub them we're going to have to quit in a few minutes right. We are we probably need to start wrapping up I didn't know if Austin if you had a chance to share the results from the survey you took earlier or if that would be possible or if we wanted to link that to the website. It's either option. Yeah, yeah I think the easiest thing to do is if we're going to do a follow up email for attendees is just to provide them the link or they can go and look at it and click around. Because like reviewing something like that is best done in a quiet place with maybe a little bit of coffee and like, you know, so. Well, do we guys have any final thoughts for today's presentation. I want to say that for the questions that we didn't answer I'll make sure that they get answered and will give them to Robin to post on the website. Because I'll pull the report and then we can see which questions were not answered. Yeah, right, right. To do for sure. Yeah. I just want to thank everyone for their time, whether you're listening live or you're listening to the recording like just thank you for spending 90 minutes of your life with us to talk about environmental monitoring your collection environment and my one take away I hope for is that after thinking about this a little bit more that you find that place where you can focus on progress for your collection and not not be too concerned about perfection. If we can get in that mindset of like figuring out where we are and just figuring out what it takes to do a little bit better every month every year. That's a wonderful place to be. And that's how we end up getting to where we need to be for our collection so, but yeah, thank you for your time. And I want to thank you this has been really fun to be on the other side of connecting collections care. And I've really enjoyed working with Austin it's, it's, I think what they're doing is really interesting and can have a lot of can really help a lot of people so that's that. And it was nice to see Mike. Exactly. Well, I want to say huge thank you to FAC to learning times for acting as our technical producer of course to Austin and Susan for doing this presentation we appreciate it. It was recorded and we'll be posting it online probably by the end of the week. I also put in the chat links to the survey that we use within CDC care to make sure that we continue to improve our programming and a link to the website which has the handouts and a copy of the presentation that's already up and ready for you guys to grab. So, I'm going to go ahead and say thank you to everyone's everyone else want to say thank you or goodbye or anything else. Thank you and goodbye. Yeah, thank you. And we will be back in May for collection emergency kits so we'll see you in another month. Thanks everyone.