 Hello, everyone. Thank you very much for joining today's workshop on depositing your data with ReShare. I think we can start just with introductions until everyone has the chance to join. So my name is Anka, I work at UK Data Service. My official role is Senior Quantitative Data Officer and I also am an Administrator for ReShare. I have been so for the past eight years or so. So that's about me. So now that we are done with introductions, I think we can make a start. So the today's session will be a short presentation, I would say around 15 minutes or so. And here's an overview of the presentation and then we're going to move into the demo. So we have, we're just going to, I'm going to log into ReShare and complete a data collection. I will, you know, pretend I'm a depositor and just show you everything that you need to know when it comes to depositing your data in ReShare. Just going to stop here for a second because I think it turned off my camera and maybe it's useful. Some people say it's useful to have a face on the screen so that you see who's talking. Okay, let me share my screen again. All right, there we go. Okay, right. So let's start with the presentation. So we're going to have a quick look at what is ReShare. Then we're going to have a quick look at our data sharing checklist. So what are some aspects that we need to, you know, tick just like a grocery list before we start our data sharing process. And then we're also going to look at the deposit process and how that works in practice in ReShare. We're going to also have a quick look at documentation. So of course we're going to have to upload data files, but alongside those data files, we'll also have to provide supporting documentation. And we're going to have a look at what that means. And yeah, what we need to prepare. We're also going to cover access, so what are the different access levels available and how we decide between one or another. And of course, as I said, then we're going to move on to the demo where I'm going to log in into ReShare and create a data collection. And then we're going to have time at the end for Q&A. So as I said, if you have any questions throughout the session, please add them in the Q&A. And we're going to have a look at them at the end. Right, so what is ReShare? So at the UK Data Service, it's our online data repository. It's a self-deposit repository where researchers, depositors can archive the data themselves without necessarily any help in the beginning at least from ourselves. And yeah, share their data. That is the first hyperlink here is the ReShare website where you can go and log in, register and create a deposit. So ReShare allows, as I said, depositors to create data collections themselves. You will be able to upload data and documentation files yourself directly into the system as opposed to other setups where you would send the data to archives or repositories and then they would receive it and then upload it and so on. So this really speeds up the process a lot. And then once it's completed by depositors, these data collections as we call them, they go into a review area where we of course check them before we publish them. So we check for disclosure risk for copyright breaches. We check that the file formats are recommended in acceptable file formats and of course that the level of documentation is sufficient to allow that data to be reused in the future. Once we publish them, the collections can be accessed from our data catalog and there's a link here on the screen to the data catalog. We're going to have a look at that during the demo as well. Okay, so looking a bit more at the deposit process in ReShare. So as we see we have two categories if we can call them that, two areas. I think that's a better word. We have a researcher, a depositor area, and then we have the UK Data Service area. So that is where we, the administrators would be able to log in and check the files and then publish them. Okay, so the start of the journey of course starts with the researcher and depositor. So you would register first with ourselves and then log in. You would create the metadata record for this data collection and we're going to have a look at what that means. Once you create the metadata record you'll be able to upload the data in all the documentation files. You'll be able to set the access in the license conditions as well. So we are going to have a look as well of course at what this means and how it's done. But this is something that we are also of course able to assist with if you're not sure perhaps what access level is most appropriate for the data collection. And then of course submission, so once you filled in all the information and you've uploaded the files, you will submit the data collection and then it goes into our review area. And at that point once it's submitted you are not able to edit anymore and we are not able to edit when it is in your work area. So really we are just, that is just to avoid of course the record being edited from multiple sources and just creating confusion. So yeah, we check it and then we might have to send it back to your work area depending on if there isn't enough documentation or there's certain edits that need to be made to the data in terms of anonymization for example. If there's anything that we find that might be of concern there we would send the data back, the whole collection back to you. And then you can edit it again and resubmit it for review. And of course once it's all completed we would publish it and inform you, send you the DOI where you can access it and the citation. So I mentioned earlier about a data sharing checklist. So really before we share the data we should and this is really something that we've learned throughout the years. These are the most common really aspects and I don't want to call them issues but just aspects that come up when it comes to sharing data. So making sure that we have permissions to share the data. So whether we use informed consent, whether this is the chosen processing ground under DPA. We might use a separate processing ground but we need to make sure that that covers data sharing. So data sharing if the processing ground we are choosing is not consent then data sharing might not be covered. So when it comes to archiving the data we need to make sure that has been covered somehow. So we need to make sure that that permission is in place for us to be able to archive the data and share it for long term preservation and curation. So that's the first aspect, important aspect. Then of course we move on to protecting identities via anonymization. If this is something that you're not sure about we have a separate workshop on anonymization. It was actually run last week but the recording is still available and the slides are available on the website. The recording should be available on YouTube. So do check that I included the link where you can find it at the end of this presentation as well. So we have an anonymization and then we also have the principle of data minimization. So in terms of collecting personal data we shouldn't really sit absolutely necessary. Of course it would depend on the project but for majority of projects this type of data is only collected for admin reasons. So really try to minimize that as much as possible and of course de-identify the data as soon as possible. So remove all that identifying information as early as possible in the project and keep it separate from the identified data. Then we move on to access. So of course we can't just make all data available openly online. We need to depending on the anonymization level because there are different levels of anonymization that we might apply for the data. We also need to think about data utility so that is the idea that the more information we anonymize the data. So the more information loss we have the less that data is going to be the less value that data is going to have for future research. So data utility will go down as the more anonymization we do. So that is something we need to keep in mind when we anonymize data. Over anonymization is an issue that we see especially for qualitative data. So much of the value of the data lies in the details. I have a colleague who specializes in quality data and she always tells me how sad it is when we get collections that have been over anonymized where they could easily be put under access restrictions and they would have been so much more valuable for future research. So regulating access when needed all or part of the data. So it might be for example if we have a mixed methods project it might be that we can put the quantitative data say we have survey and interviews. We can put the survey data under I don't know safeguarded data and we would put the interviews under a more strict access level. If you know it's considered that there's more detail there. And we are going to see when we do the demo how we can. So we we apply access at file level not for collection level. So if there's multiple types of data we'll be able to assign an access level to each type of data and ratio. So to remember here is to store personal or sensitive data securely and separately. What this means I mentioned for point two when we do an organization especially the identification if we collect personal data any type of personal data as part of our projects. We should identify that as soon as possible and keep that separate from the identified data. Meaning that you know the identified data we can that we're probably going to be using for analysis etc on a daily basis perhaps. But we don't need the the the the personal information we already took out. So that personal information should be kept separately encrypted ideally as well and secure. And of course also the the the identified data should also be should also be kept security. But just because we probably use that more often we might not need to keep it for example under under locked in a locked drawer somewhere hidden. Okay so yeah remember to use utilize encryption and consider the storage location. So this is something that we actually cover in our data management workshop. We run that a few weeks ago and the recording should be available on YouTube. So if this is something that you want to learn more about. So storage encryption please have a look for that recording. Okay so moving on to documentation. So in terms of documentation planning ahead is really very important because the earlier you you start preparing these documents better. It also helps to keep things organized. So in terms of what is used a useful what is needed in terms of documentation for data. A useful exercise is just to think about you know if someone with no prior knowledge of the of the project right a stranger saying two years from now would like to use the data that you've collected. What would they need in order to understand that data you know to perhaps do you know engage with replication so replicate your results or perhaps reuse it for the wrong projects. Okay so that's a useful useful way to think about it I think planning to archive the data at the end of the project. So if we do plan to do that then we'd recommend you know doing some research in advance and perhaps also contacting the archive or the repository just because they'll probably have their own guidance formats method data standards they use so they can guide you in the direction of you know what formats to use for your data so that you you do that early on in the project rather than you know reaching the end of the project reaching the point where okay I can deposit the data now and you realize that you've been using a format that perhaps is not supported by the archive. So that would that would add more more time and more work for you. Okay so planning in advance and contacting the archive or the repository planning to use to share your data we very much recommend that. So in terms of documentation there's really two different types of documentation there this project level and there's data level documentation project level documentation this includes information about the study. So if we think about the abstract the keywords so if we think of a data catalog it's all the information that we would find when we land on that on that project record page okay you know what were the main research questions the type of data that was collected and so on. And then data level documentation this is information at the level of the individual data files so for an interview transcript that would be the goodness I forgot the word for it. It's a little bit that starts at the beginning that you find at the beginning of a transcript when you open it to just tell you information about that transcript right so for example you know who conducted the interview when it was conducted so this is all the information that of course we are allowed to share. Or another example here is a particular valuable in the data set we have valuable labels value labels etc so that would be data level documentation okay. So what to include as documentation and now I know the word I was looking for the previous slide the header with context information that is. Sorry right so what to include as documentation so we have here examples on the screen so we have data collection methodology and processes so sampling sample size experiment protocol etc codebook user guide of course for quantitative data. For we probably also ask for consent for a minute information sheet. Of course black versus just ensure that you know thinking back of that slide where we talked about seeking having permissions in place to share the data. That is what we're trying to to ensure by asking you for the for a blank version of the consent from an information sheet just making sure that that permission is in place. And there's nothing in that I would preclude us from archiving the data and sharing it. Then we have questionnaires show cards so really anything that that would help future users understand the data better. Of course for transcripts as I said having that header with context information at the beginning. So with the date and place of interview you know who the interviewer were was. Interviewee details as well of course what we can share in line with consent form so this will probably be some demographic information that is. You know that was collected and it's important for that for that research. A data list so this is an overview of key information about each interview. We also call it a map of the data collection. This is for qualitative data and there's actually an example on the next slide so I won't go into to our detail now. And of course we have links to reports and publications preferably DIYs were possible. DIY stands for digital object identifiers and let's just call them they are they are better in terms of in terms of long term availability than than a simple URL will be OK. So for example if a URL may not be maintained in the future a DIY will always be. So you should always as long as a DIY has been minted for that data collection for that publication that should always be available no matter what. OK even for data collection if the data needs to be taken down for any reason the metadata should still be there. So the information about the study you know abstract keywords should still be there via the DIY. So links to reports and publications we add this for all data collections of course if they're available this includes any. Any similar perhaps data sets that have been already published or any publications using that data we will add it under the same. Allotted to the data record and we're going to have a look in the demo as how that how that is done. I mentioned earlier the documentation workshop we run. So actually I mentioned that an organization on this is actually documentation. So we're running this on the 28th of November at 11 a.m. So if you'd like to know more about documentation and how to prepare that for your project make sure to join this. My colleague Maureen I run this on that webinar. So we look forward to seeing you there and then moving on to a data list. So I mentioned this in the previous slide I didn't go into too much information. So this is the map of a map of the collection as we call it. As we can see we have an overview of all the individual data files that have been uploaded for this particular data collection. We see we have 20 transcripts and we see essential information from each transcript. So just by opening this one file we have a overview of all the data that has been has been archived. So perhaps if someone is interested in maybe a sub-sample of my data collection they can just open this. Perhaps they're all interested in I don't know dairy farms so they look at this they know exactly which which data files to go and open. And it just saves time and yeah it's just very neat and nice as a summary of a data collection. So this is a type of documentation that is uploaded alongside qualitative data. And we do have a template for this so you can just download and fill in of course the fields will be different. That is just to make it easier for depositors. Okay moving on to organizing data so in terms of how to plan this before deposit so it's just best to have our files organized to have a logical structure and make sure of course if it's a larger project that all collaborators stick to that structure that is consistent throughout. And we have some examples here so we have of course we should have a hierarchical structure files. They should be grouped into folders by file type so if we have different types of data they should be in their own individual folder and that folder will then be uploaded into the system. So if we have different types of data survey data interview transcripts of course make sure that the file names are intuitive and easy to understand. We also have some file name guidance on our website if that's something that you need so make sure to check that. But yeah just make sure that you bundle similar files together. Okay that's really the message there in terms of depositing the data. Okay moving on to managing access so as I said there are different options access options at the UK data service we have three access levels. We have open safeguarded and controlled so open data available on the open access will be just available for download under an open license without any registration. Safeguarded registration would need to be to be done to access safeguarded data. And of course to access this users will also need to fill in an end user license which contains the terms and conditions what they're allowed to do with the data but not making sure they delete the data yet the project etc. Under safeguarded access we also have special agreements so it might be that for certain data collection we need the depositor permission to access that data. There's also the option of applying an embargo for a fixed time period for example until any publications are out. And then we have controlled option. This is controlled is not an option in reshare the data in reshare can only be placed under open or safeguarded access but controlled is if you heard of safe rooms or TREs. Trusted research environments that would be the type of data that would go under that that would be controlled data. Okay so this would be for authenticated users. There's some training involved there as well in terms of you know how to use the data how to produce outputs from that data. But that is that is not an option in reshare reshare we only have open and under safeguarded we have different levels of safeguarded data. Okay and then on this slide we have some further guidance. So we have also these is the data management expert guide. This is a very comprehensive research we all have a have a book that we published managing and sharing research data is very useful and that is the page to our training. So I mentioned all the recurring webinars that were running the anonymization webinar the data management webinar the future data documentation webinar in November. So if you'd like to sign up for any of them use this link. There's also some tools and templates you can download and use so we have a model consent form. Of course if you're earlier on in your project. You can just download that and use it adopt your project we have a transcription template and transcription instructions. A data list template that we spoke about and the read me file to. I've not mentioned the read me file perhaps you encountered it. For us the read me file it's you just have to to list the files that you are uploading alongside with a description of each individual file. Of course that would not be each individual interview that would be a folder so it would be you know you're uploading a folder with 100 interviews. Then you just have to write a short description saying folder with 100 interviews and then some some vital information about that just a couple sentences just for people to open that in and see exactly what is what that data collection contains. Okay, and we also have a template for that so just download it and adapt it some further resources as well. I think this is the data curation the DNP online so again if you're at the beginning more beginning of your project. You can use this to set up a data management plan some information there about anonymizing research data as well if that's something that you'd want to read more about. We also link to that in our anonymization webinar. Some more information about how you can contact us or get in touch with us and yeah on YouTube you can watch previous previous webinars some upcoming events so I mentioned that you can sign up for some of these recurring workshops. I mentioned the data management basics workshop we also have an ethical and legal issues in data sharing copyright getting started with secondary analysis consent issues in data sharing data documentation so I mentioned that in November. The posting your data would reshare this one and safe researcher training safe researcher training is the training I mentioned that users that want to use the controlled data have to do before they can access it. Okay, and now we can move on to the demo. I think we're great in terms of time. So if you'd like to if you're preparing to deposit your data you can you can you can do this in real time if you'd like or you can just follow along for now and and and create your own later on. But in terms of steps so you need to go to the Richard home page and from there you first have to register if you haven't already. After you register you can from your email address you'll have to go back and log in and once you've logged in you can go ahead and create the data collection. Okay, so that is the end of this slide and I'm just going to stop sharing for a second so I can move on to the demo. So I'll start from the from our you could use home page just because this is where you can find our you can start browsing our data catalog. So this is how our homepage look like I'm sure you have seen it when you registered for this event. But I'm just going to type a data collection number in the search option here. So this is a data collection that has already been made available or catalog so this is where you know once you deposit your data this is where it will be available. This is how it looks like so we're just going to use this as an example. And we're going to recreate it basically. So I'm going to use some of the information in here that's already been that's already available. You can also find it now if you if you look in the data catalog. So I'm going to use this just to just as an example but we can see here all the information that has been deposited. So we have title data creator or the depositors the topics keywords the abstract. This would be the DIY that I mentioned that we also suffer every data collection that be that we publish we meant a DIY this is very important. This is also something you should look for if you decide to publish in another archive or repository. They should be minting a DIY for your data collection not just a URL. And right so this is what we're aiming for so we're just going to go into reshare and start and try to recreate it see how that goes. Okay so this is going back to right reshare so this is the reshare homepage is a separate website. And what I need to do of course I'm already registered so I'm just going to log in. I'm going to use my credentials so the UK data archive is based at the University of Essex. So I have University of Essex credentials you should be able to do the same if you don't have already any University credentials you can sign up for a for we're just going to produce some ukda credentials for you so that's not an issue. Okay so once I looked in we can see here we have some let's just go through what we can see on the screen. We have some review procedures at the top here so before you deposit I think it would be useful to go through the review procedures just to familiarize familiarize yourself with. So the checks we do on the data so you can prevent you know sending the data collection back to you. So you can already address any existing issues perhaps under legal you can find information about the different access levels available in terms and conditions that apply to the data. Home of course that would be the home page and if you'd like to see some exemplar data collections we have some available here. We also have a video of previous workshops and then here on the side we see my data. The only option you'll have will be my data ignore the rest that is just because I have admin rights but we're just going to go under my data and this is how it will look like. For you as well these are all collections that I have deposited produced in my time at the UK data service but this is how it will look for you as well. So if you create a data collection and you say I only have half an hour today to do this you can of course save it for later and find it in here and to go back and edit it just click on this yellow pencil. Before you start to deposit a data collection there's some guidelines here for you so you can just read through our recommended file formats. I mentioned file name conventions you can read some more on that here. So just in terms of preparing your collection before deposit you can also create a Rimi file and the template is also added here a data list as well user guide. So just make sure you go through this just information before. Okay and now to just actually go ahead and create the record so we are going to select create a new data collection. And this is what we will see first of all we're going to have to accept the research and conditions and of course you can click on this link and read them in detail. Please also read these two statements here this mostly referred to copyright and make sure that you grant us a license basically to hold make copies of and disseminate copies of this data collection. Okay of course you'll be available via our catalog so we need that permission to do. And once you have read this you can go ahead and click click that and move on to the next section. So moving on to the next section before we do that we can see we have six different sections at the top here. So we have ground details well terms and conditions ground details people data collection upload and deposit. So we're going to have to go through each section before we can actually submit the data collection. As I mentioned we can save for later if say I'm not able to continue this today and we're going to you're going to find the record under my data. So I'm just going to once I clicked that I'm going to move on to the next section as we can see now we're on the grant details. And here this is also we can notice that there are some pink asterisk pink asterisk symbols these will mandate indicate a mandatory field. So have a look for them make sure that you do fill them in. So here this section. So this grant details section can actually be harvested from you carry a way to research. All we need to do is to provide the grant reference here so I'm going to go back to my data collection because I need the grant number. OK. And I'm just going to copy that in there. And then I'm going to let it search as we can see it found the record. So select it. And as we can see all these fields have been populated just bringing in the information from Gateway to Research. So of course this will only apply if your project was funded by UKRI. But if not of course you can you can fill in all this information as well. This is also you can edit it. So if there's anything in here of course this is information we see that was valid at the beginning of your project. It might be that some information has changed. It might be that you're planning to I don't know collect only some data. And then during the project you decided to collect some more data or just some information in here that is not accurate anymore. You can edit this. The sponsor is already added. Groundholders are added just to mention these are these are real names. But just to mention these are already published. So we have this information online. And yeah it's all good in terms of providing names in here. OK. So project dates. These are the project dates. As I said they're harvested from Gateway to Research. And I think in terms of this section in terms of ground details we are done so we can move on as you can see. This harvesting option is really helping in terms of speeding up the process so we can move on to next. And now we're in the people section. There are also some information already added in here from the previous page that was harvested. So this is the ground holder that we have here is the depositor. So we don't have to obviously for the section we don't have to I don't have to remove that. But it's important here please make sure to add an affiliation. Of course you can add as many people as you want in here. You can also change the order using these arrows at the side. You can provide an OR CID code. I always call them more kids and I try to not try not to. Yeah so provide that as well. If it exists you also have to declare right owners. So this would be of course for primarily collected data for the data that you're collecting during your project. Then that would be the project leader. So the PI or PIs if multiple. But if you're using secondary data for example this will change. And that's why we say that you need to ensure that under the terms and conditions. You need to ensure that your own copyright or that you obtain permission from the copyright holder to share this data. Okay for contact make sure that you provide an email address as well. That is my email address and the affiliation. So yeah make sure that you have at least one person in here and that you do have an email address for that person. We can see that all fields here have an ask disk so make sure that you fill it in. Also just to point out quite a few sections if not all of them will have these question mark at the side. So if you're unsure what information you need to fill in that field just tap the question mark. And that should provide you with more information. Okay you can also add contributors here if there's someone you would also like to mention perhaps a research assistant or yeah I don't know you can add them in here. And now we're just going to move on. And I've done that on purpose just to see to show you that for the mandatory fields if we've not filled them in. So in this case we haven't filled in the contact field. It will give us a warning and you won't let us move on. Okay so that's actually I think it's very useful just to remind us and make sure that we have filled in those fields. I can go down and fill this in but for the purposes of this demonstration I'm just going to move on to the next section where we have data collection. You can of course also do this. If you'd like although we don't recommend it just because you know if you deposit the collection and some of the mandatory fields have not been completed we will have to send that back to you. So do make sure that you do not ignore these warnings at the top and that you do provide that information. Okay so now we're in the data collection field and now we're just going to fill in so all the information that we're going to fill in here. Is the information that is available here so the topics, the title. Okay so I'm just going to copy the title. No I'm not going to add all the information because obviously you don't need to see this. I'll be placing information on the screen. I'm just going to add some of them just so that when we save this we can actually see that all the information has been saved. Okay so we need a title. Of course we need an abstract. And here I'm also just going to just copy the first paragraph here just to have some. And of course if you already have this prepared then it just makes it easier right. Okay again we have all the question marks so if you're unsure what to provide to do open this. This should be because we had an abstract already under grant details but just to mention that this will be different. It might be similar but it could also be different to the initial grant abstract as I said certain aspects might change. But this should be this should be very much relevant to the data that has been actually collected during the project and the data that is made available and it's shared for use. Okay the keywords these are controlled vocabularies so as you start typing any there will be a list that comes up and I think where are keywords here. Okay keywords refugees Middle East Europe. Okay so I'm just going to use the same. Okay so as you can see we have multiple options here for anything that we we might want to add so I'm just going to select that and then just select add and we recommend adding as many keywords here because it was just going to add to data discoverability. So when when someone comes to our data catalogue and you know start typing keywords in here your collection will show up. Okay so add as many keywords as possible. Then we have topic classification and for this I think we have social worker policy and systems and history. I'm going to add history. Okay as we can see it added history we can also remove that. And of course we can add more as needed. Okay. Moving on we have temporal coverage. So this is the collection period and temporal coverage. Of course this might differ if it's the same of course that's fine. But it might differ in the sense that for temporal coverage it might be that I'm collecting data about. I don't know something that happened in the past so obviously that temporal coverage will be different from collection period. Okay geographical coverage so this is just geographic information. We do the only mandatory field here is country and I cannot of course as many as I cannot type. As many as possible and I can order them again if that's something I want to do. If I want to provide a more disaggregated information I can do that here. Okay if I want to also provide latitude and longitude I can. And then we have spatial unit we can also add this if applicable. Then we have we see it's not a mandatory field. But of course the more information we add the better. Then we have methodology and I'm just going to search for where that is here under coverage and methodology. So we have unstructured in-depth qualitative interviews. I'm just going to add that in here. So this is just describing who the interviews were with. What sampling methodology it was used etc. Then we have observation unit and for this it's individuals. But of course make sure to take all that applies the kind of data. So for this it will be audio videos and text. Data sources processing and preparation. We can see that this is not mandatory but this will just be you know provide information about anything that. So for example any software that you use to process the data or to anonymize the data. For example if you use the Envivo I don't know you can add that in here. Any quality assessment you know as I mentioned anonymization. So really anything vital that you think should be mentioned. You can add that under here. The type of data so for this collection is qualitative and mixed methods. So I'll take that resource language. So we do have the option we do have data in foreign languages as well. So that is also an option. But when we do receive data in foreign languages we do ask for confirmation from the depositor in terms of the anonymization level. So where the possibility exists of us consulting with one of our colleagues who actually does speak the language or know the language. Then we do that. But when we have a language where there's not a possibility then we would ask the depositor to confirm in an email. So that would be a written confirmation just in terms of the anonymization level because of course we cannot check that as much as we would with English data. So we would need that confirmation that the data has been anonymized in line with consent form etc. So that is just something to mention here. And related resources so this was actually harvested from Gateway to Research as well. This is the link to the grant information. But we cannot hear we can see we can add as many as resources as we want as we need as we have. We also have different types of resources so it can be a website. It can be a publication a data another data collection that is related. So yeah we added the UI or URL and the name and we will see how that looks like when we publish notes and access. So this will be this will not be visible once the collection is published. This is just a note to the reviewers really. So if there's anything in here that would need to be mentioned. For example you know I would like to apply an embargo on my data collection or I didn't have consent to share for I don't know a third of my participants or you know I would like to apply different access levels on my data. So really anything that would be important for reviewers to know please add in here and don't worry about it will not be published. Okay and you won't have any you won't have this option that is just for admin. Okay so once we're done with this section we can move on to so we're just going to use the bottom of the option at the bottom. Okay it doesn't let me because I didn't fill in the access category that is actually something in the admin field so you don't need to worry about that. And then we move on to the access category field. So now we're in the upload section and we have so here's where we actually upload the data files and documentation files. Okay there's some information here regarding what type of files we can upload so make sure that anything larger than two gigabytes it might take a bit longer to upload depending on your browser speed. And if you're planning to upload files that are quite large make sure that you contact us in advance because it might we have had the weird occurrence of it just crashing down the system because there were you know I don't know like 200 gigabytes someone was trying to upload so that just it looked completely foreign to the system. So do make sure that you contact us if you have very large data files. Okay and of course make sure that before you upload that it doesn't contain any personal information unless of course you have permission to do that so that is covered under the consent form information sheet. And of course include documentation as we saw earlier. Okay and make sure the file names contain those spaces. That is something that you will find in our file naming guidance as well. Okay so now I'm just going to go ahead and upload some files I have some prepared here so I just have a folder with transcripts it's empty but the purposes of this and it is a zipped folder so you will have to zip any folders that you want to upload. Before you can upload them otherwise it's just going to open the file when you try to upload the whole thing. So as we see that was really quick I mean it is just a small empty folder but it is usually very quick as long as it's under 2 gigabytes and then we have a drop down here where we can select the access level. And the type of file that we are uploading so of course here we can upload data documentation bundle we can upload a documentation file additional metadata so for example we can upload a user guide or anything of a codebook right. We have data files as well and we have a read me file. So in this case it's just a it's a data file I can add a file description as well so this would be interview transcripts. Okay I can also select an embargo date so say if I want to not 10 years if I want to apply a one year embargo then I would just go probably here and so in terms of embargo we can we can apply embargoes of up to 12 months from the date of publication. But obviously that can be changed so say if you have a publication coming out using the data that you're sharing and that hasn't been processed hasn't come out by the time that the embargo expires please get in touch and we can extend that. And then right so I kind of jumped over access level so we have it here as we see we have the three options here we have open access we have safeguarded data and even though it's called closed access is a type of safeguarded data. Okay but this would be either if the data is under embargo or if the users would need permission from the depositor before they can before they can use the data. Okay for this I'm just going to select open because the files are actually openly available. I'm just going to look at the catalog. Yeah, the data is open. Okay, and then for open data we have the creative comments we have three options through creative comments options. And then for if we were to select safeguarded here then for for anything that is not open our end user license will apply so for safeguarded registered only. So for both of these options, it will be end user license. Okay, so that would be our our end user license. I'm going to move it back to open just going to select one of them. Again, if you're not sure what license to select here or even one access level. There is some information here we're on, you know, if you for more detailed information about the terms and conditions and what applies to both obviously but if you're still unsure just contact us and we're happy to to advise. Okay, so once I've filled that in I'm just going to select save. And we have that there. I'm also going to add another couple more files I have a read me file. And I'm also going to add a data list. We had a look at data lists. Yeah, so this is a quality data project. For these I'm going to select documentation because they are documentation and for read me file I'm going to select really file. Okay, and of course these will be open access documentation is going to be open access only access levels will only be applied to to data files. Okay, so assume this is this is all I had to upload I can then move on to the next section. Okay. Right, so because I tried to give you the example of embargo, but obviously if it's embargo, then it cannot be open. So I'm just going to remove that from here, but okay, save. Okay, now it should allow us to move forward. So now we're in the last deposit section. So this is just a bit before we can deposit the data collection. And, yeah, just make sure you look at the terms and conditions again. And, yeah, there's also the warning that after depositing, you won't be able to edit anymore as I as I mentioned or upload any more files. If I'm happy with how it looks like I can go ahead and deposit the collection, or I can save it for later. Because this is an example of is I'm just going to save it for now. But once I do, I can have a look already at how it looks. A look at how it looks. I can have a look at all the information that we've already added. So this is all the information that was harvested from a way to research. This is the little paragraph we added under abstract. Right, we added refugees, we added topic classifications, the project title. Okay, we added the methodology under here, observation unit. Yeah, so everything that we've added in has been saved under available files. We have the transcripts folder that we uploaded. And when we open this drop down list, we can see the access level. We selected the type of file, excuse me, the license documentation, the data list and the really file. Okay, we also have a review of downloads here. Obviously, this was just zero because it hasn't been published yet. But for published collections, if you return in the future, you'll be able to see here how many times your data collection has been used, how many times the page has been viewed. And there's some more metrics here under View More Statistics, if you'd like to. And on the related resources here, so we have the website that we saw earlier. And I can actually just open this to show you where we harvested the data from. There we go. Here, so this is the grant information on the UKRI page. Okay, so this is where the abstract was pulled in. And yeah, all the information that we harvested. And that is it. So that is how it looks. And obviously we can deposit the item. You can find it here under my data. And yeah, that is pretty much the resure deposit process. And I think if not, as I said, I put my email in the chat. Also, there's information on the slides on how to contact us using our help desk. There's also information in the contact section in reshare. So yeah, any questions do get in touch and we're happy to help. If there are any other questions, if there are no questions, it's already helpful. So thank you very much for joining. I hope today's session was useful. And yeah, as you saw, we really tried to make it as user-friendly as possible. So hopefully we won't have any issues. But for any questions or anything, yeah, just get in touch and we're happy to help. Thank you very much, everyone, and have a nice day.