 Hello everyone and welcome to today's webinar on depositing your data with ReShare. My name is Anka Avlad and I work in the Research Data Services team at the UK Data Service and today we'll be speaking about ReShare. So just to give you a brief overview, we're going to have a look obviously at what is ReShare and then we're going to have a look at a data sharing checklist. We're going to discuss the deposit process, we're going to look at what documentation we should submit with our data files, we're going to look at different access levels and how they work and then we're going to have a demo of ReShare. So that will be hopefully we'll see how we do with time and then we're going to take your questions after that. I'm hoping we're going to have quite a few at least 15 minutes for questions as we find that it's often people have specific questions as their projects vary of course. Okay so let's start. So what is ReShare? So ReShare is UK Data Services online data repository where depositors themselves, researchers themselves can sign up, register with us and then they can create the record in the system so it's a self-publishing repository to share their research data and we included the link here for you. It is a separate website from the UK Data Service website but you still can use your credentials if you already have an account with the UK Data Service. If you don't have an account then contact us and then we will create an account for you if your institution is not one of the institutions that we support that you can use your credentials with. So ReShare allows depositors as we said to create their own data collections to upload data files and documentation files directly into the system so you're not you know you're not sending us files via any other different routes everything is uploaded directly into ReShare and then comes to us for a review. So once that that process is complete so once you complete the deposit the collection at your end this comes into a review area where we check it obviously we check for disclosure risk, we check for copyright breaches, validity of file formats you know we check whether the level of documentation that the depositor has submitted is sufficient to enable data reuse. We check numerical data files and then we check at least a 10% random sample of textual data files that are reviewed so if you have a qualitative collection of say 100 interviews then we would check a random 10 interview transcripts and obviously there will be some questions there in terms of consistency across all the data that you submit. So we would obviously speak about that separately with you via email or via meetings depending on the case. The data collections once are published so once they're reviewed and published they can be accessed from the UKDS data catalog and I included here a link. We're also going to have a look at this a bit later on just to see how a published collection looks like and we're going to also use that in our demo. Okay just a bit more on the on the deposit process so we have you know we have two sections in ReShare we have the researcher the depositor section and then we have the our section so what we do here at the UK Data Archive UK Data Service so at your end so the depositors end you will have to register with us if you haven't already and then log in you'll have to create the metadata record for that data collection. What that means is that you're going to have to fill in some information in ReShare about your project and then you're going to have to upload the data files of course and the documentation files you're going to have to set the access and the license conditions of course this is something that if you're unsure about we're going to discuss access levels but if you're still unsure about that don't worry because that is something that we very much discuss in that review process so we would get in touch with you with feedback of course about your collection once it's been reviewed and we would part of that feedback would regard also access levels and what the more appropriate access level would be for that collection and then you'll have to submit it for review once you're happy with all the information that and all the files that you've uploaded and that then comes into our area so you won't be able to make any edits once you submit it anymore and then it comes so once it comes to us we review it and then if everything is okay which is rarely the case to be honest there's always this well quite often it needs further edits and it needs even if they're small edits so we are able to send it back to your to your work area so that you can edit it again as I said once it's submitted you're not able to edit it again but once we review it we're able to send it back to you and you're and obviously we send that feedback with it and then you're able to make further edits and then resubmit it for review and then hopefully after that it should be in a position that we are able to publish it okay as we so in the overview we're going to also have a look at a checklist so in terms of data sharing if you're planning on sharing the data that's resulting from your project then this is a very very short sort of very compact what I would say checklist so there are three main steps here to seek in for consent if consent is the processing ground under GPR that you're choosing to use for your project and I won't go into this we do have a separate webinar that looks at ethical and legal aspects of data sharing so but you need if you're using informed consent you need to make sure that this covers data sharing and long-term preservation and duration so you need to make sure that your consent form or your information sheet does not use language that precludes data sharing and future reuse of the data okay and the second step is of course to protect identities via the identification pseudonymization anonymization if you don't know that you're not sure about the difference between them because it also it only says anonymization here we do have a separate webinar on anonymization which we did I think two weeks ago and the recording should be on YouTube so and we do include a if you go on the events page for UKDS you should be able to find it and of course make sure that you're not collecting personal data unless so data minimization make sure that you only collect personal data that you need and that is necessary for your project so personal data is sometimes only used for admin purposes so make sure that you minimize that as much as possible and that you de-identify as early as possible in the in the in the project and that you keep that data separately we see here the last point to remember is to store personal or sensitive data securely and separately what that means is that obviously personal data will need a higher level of protection than de-identified or anonymized data so that's what we mean by if you de-identify it so by de-identification we mean the removal of personal information and identifying information personally identifying information from the data so then we keep it separately from data that has been de-identified or anonymized okay and to use encryption for especially for personal data and consider the storage location these are also topics that we cover in our data management webinar which we had last week so and the the recording and the slides for that are also available on our events page so do you have to look at that if if those are aspects that that you you want to know more about and then the last step here excuse me is to regulate access when needed for all of the data or part of the data so we're going to have a look at different access levels and but the idea really is that you know for the more information that there will be in the data the the more strict the access level will need to be okay so if we're talking about data that is completely anonymized the data that doesn't contain any residual risk of disclosure then then you know that data can be made available as open access so but then if we're talking about data that has only been for example de-identified so that personal information has been stripped out then that data would need to go under a stricter access level because it can still contain a residual disclosure risk again if these are if this is terminology that you're not familiar with or you're not sure about do watch our webinar on anonymization that I mentioned earlier because we go over all of these terms there okay moving on to documentation so as I mentioned when you create your record and reshare you're going to have to upload data files but you're also going to have to upload documentation files so these will be files that will provide that context for your data the valuable information that will allow future users to reuse that data correctly and one important very important aspect here is to plan ahead because this will save you time and to help and it will help you keep things organized a very useful exercise in terms of you know if you ask yourself okay what what documentation should I upload or what information should I provide a useful exercise is to think about you know for a stranger for someone who has never had any prior knowledge of the project or of the data what information would that person need in order to understand replicate or reuse the data correctly in their own projects or to replicate your findings okay and then planning to archive the data at the end of the project and where to archive it in particular can be useful to know in advance so if you're planning for example to to share your data with us with the data archive then then it's useful to you know contact us in advance probably watch this webinar watch our other webinars and workshops and because there might be specific guidance in terms of you know formats metadata standards that in the scheme vary across archives and repositories so if you're planning to to share your data somewhere else then our our advice is to contact or to get in touch with them as early as possible about about sharing your data so that you can you don't you don't leave it until until the very last moment and and realize there's there'll be a lot of work to do in terms of you know preparing documentation or metadata etc okay so when we talk about documentation there's a couple different types here so we have project level documentation so this includes information about the study where what were the main research questions for example the type of data that was collected to answer these questions etc and then we have data level documentation and this would include information at the level of the individual data files so for a data set a quantitative data set that contains survey data for example this would be variable labels or variable labels for a quantitative data so for an interview transcript or for a focus group that would be a little I forgot the name now what it's called this that's just the beginning of each document right okay you know what I mean so in the beginning of the file there will be a little section where you provide information about that about that transcript so this would be information such as you know the date of the interview the location of course this is information that you are allowed to share as per your consent form or information sheet and yeah so that would that would be the type of documentation that would apply to um qualitative data and we're going to have a look at some examples again in more detail what to include is documentation so data collection methodology and processes so we have examples here so we have sampling sample size the field work protocol experiment experiment protocol interviewer instruction so really anything that applies to that data collection process a code book and a user guide quantitative data an information sheet in consent form so of course this would be blank versions and the reason why we ask for this is just to just ensure that we adapt access levels to um the level of organization that the date has been applied um subjected to and also to ensure that we um you know we we we process the data accordingly um to what the participants have have have agreed to in their consent form and information sheets that we adapt that access level accordingly um yeah so that's what that's why we ask for them um for no other reason okay and then um we have questionnaire show cards um topic guides um for transcripts header that was the the word I was missing earlier um sorry coffee hasn't kicked in this morning um yes and so a header with context information so that would be you know the date in place of interview um the the name of the interviewer if there were multiple interviewees uh sorry interviewers not interviewees um if you have a team of people collecting data um and then of course we have interviewee details and this is in line with um with your consent form and what you we got permission to share um and then we have a data list so this is a piece of documentation that applies to qualitative collections and we have an example um in the next slide I believe so this is an overview of key information about each interview we refer to it as a map to the collection as well um and we're going to have an example in the next slide um and then we have links to reports and publications um so if you um you know if there's a website that applies to your project um that that was built for your project you can link that website um and the related resources or um you know if there are other um data collections that perhaps um are related to this data um for example for bigger projects we've had cases where um you know for a research project there were four data collections that were created um and then we obviously had to link to the other three for each collection um or if there's any publications um that you also want to link to the data um that is also um advisable and preferably to use DOI as were possible not url so of course this this won't be possible for example for a website but if you if you have a publication um then please use the DOI and that that would be the digital object identifier object identifier so that is um as as opposed to a simple url um that is permanent and even if the data were to be retired at any point for any reasons uh the metadata should still be available um you know explaining the version uh information about the um the project etc um so um yeah so please use the DOI also data collections should also have a DOI and we're going to have a look at um what they look like um when we look at the demo okay in practice so this is that example of a data list that I mentioned earlier so this is what they look like well that's an example of one um so as I mentioned it's a map to the collection we can see that for this particular data collection there were 20 uh interview transcripts that were archived and we have information about each one of them so we have information about you know the age of the farm um the uh the farm type etc and obviously the the columns would um would change for each project um we do have a template for this that you can download and um and adapt to your project but the idea here is that you know if someone arrives um on on your you know find your data collection and opens it um they they are able to open this file and have a one um you know one view of the whole whole collection they don't have to a summary view of the collection also if they're for example only interested in a subset of of your data collection um say for example they're only interested in in uh in women or in this case for example in dairy farms um then they know exactly which uh because we have the the file name they know exactly where to go and which files to open um you know they're not interested in the whole data collection um they don't have to go through all the files to find the ones they're interested in okay another good point here is to organize your data and your files um and and to plan advance on how best to organize them in with with data sharing in mind um you know so your files obviously might make sense to you but they they also need to make sense to someone else who has no prior knowledge of of the project um so advice here is to use a logical structure and ensure that um collaborators understand so if you have if you're working on a big project make sure that um you know all the files are consistent that you use the same file naming scheme etc. Examples here um so use hierarchical structure files group them into folders so if you have different types of data that you're collecting as well um group them by file type um you know audio transcripts etc or mixed methods project survey data so if you have spreadsheets or etc and then make sure that obviously the file names that you're using are intuitive and we we cover file naming in the data management um workshop I mentioned last week so um do you check the recording for that because we go over um this aspect in more detail okay because we mentioned uh different um access levels and maybe so we're gonna have a more in-depth look um so these are the three different access levels that we um that we have at the UK data archive so um we have open access we have safeguarded access and controlled access um open access this means that the data is available um to download um without any registration so you don't have to um you just you know you open the collection you click download and you have the data pretty much um safeguarded on the other hand um this um is available to download however you have to register with the UK data archive and you have to sign our um end user license um so that your end user license was you know have um certain terms and conditions that you have to comply with for example um you know if you were to find any um any identifying information um or you're not going to try to piece together or link the data on anything else that you're gonna um you know dispose of the data correctly at the end of the project um that sort of um some conditions that you're not going to share the data with anybody else right so um it should only be for whoever the data should only be used by whoever has registered and signed the end user license um okay and there's special agreements here so um you know there might be that for certain collections that are more sensitive um they you need to obtain the depositor permission to access the data um we also have a the the option of applying an embargo for a fixed time period this the default for this is 12 months um for us um and then at the end of the 12 months you know the decision can be taken if if that needs to be extended or not and then we have controlled data um so this is um this is our secure secure room or secure lab data um as it's referred to so this is only available for remote or safe from access um and this is also only available to um authorized and um authenticated users um who undergo some training um and who um you know they need also need to pass a test um because the left the the data that is available um is very sensitive and it contains quite a lot of um identifying information not identifying it's not personal data but it's still um it's what we call stonewise data or de-identified data okay um again if you um if you'd like if you'd like to know more information about um you know the different levels of anonymization about de-identification synonymization and anonymization and access levels um do watch our our webinar on anonymization um that I mentioned earlier okay we're reaching the end of the the presentation and at the end here I just included some useful links for you that um that that you might be interested in looking after the webinar um after this workshop so we have some best practice guidance on on how to manage data um we have these is the data management expert expert guide as well um and a few other a few other links here the training link there is to our events page where I mentioned you can find um the the the event um workshops that we conducted last week on anonymization data management okay so do you have a look at that um some tools and templates so um we do have a model consent form uh because we you know we spoke about um making sure that you use language that doesn't preclude data sharing and that you cover data sharing in your consent from an information sheet so you can always um download this um and then adapt it to your um to your project if you are also not sure after you've adapted it after you've edited um you can send this in and um you know send this an email contact us and we're happy to have a look at it and and advise um you know from a data sharing perspective if that if that consent form um is appropriate uh then we have a transcription template as well here that you can use um and transcription instructions um and the data list template that I mentioned earlier um that you can just download and adapt if you are collecting qualitative data and would like to share it so for the resources as well one of them is the DMP online so um depending on where you are in your project um you probably know about data management plans and that will be very useful um for you um if you or in future projects if you if you need to put together a data management plan and a bit more on anonymization if you um if you're interested in that and on um social science preparation and archiving so I'll let you have a look at these so the slides will be available um after the session today and um just how to get connected how to you know if you have any questions do get in touch with us this is also information that's available um on the on the website um and uh one slide on upcoming events so um we have the first one there is having today there's an introduction to quantitative time diary analysis also today um the safe researcher training is the the training that um that I mentioned earlier for that controlled um access level that we discussed this is the training that researchers have to undergo um before they can access that type of data um we have consent issues and data sharing if that is something that um you're also interested in uh on the 24th of November okay and now we've reached the uh demo and I'm just going to quickly sorry um stop sharing the screen so I can change things around screen again uh hopefully you can see my screen again um yeah please let me know if there are any issues um so um thank you okay so um we mentioned that we're going to have a look at the actual process so how to deposit data and reshare and um this is the home page so this is different from the UK data service um website um and as I mentioned the first step would be to register um and then to log in once you've registered and you um you know you click that link in the registration email that you're going to receive and then you're able to come back and log in into your account um just a few um aspects to highlight on the home page um we have a legal section at the top so this would look at different access levels and terms and conditions that apply to different types of data that is deposited um we have review procedures so um this covers um you know the types of checks that we do once we receive data um for review so if you if you want to have a look at that just to um sort of prepare in advance um and to um you know sort of save time um in that as I mentioned we can send back collections to you if there are any issues that need to be addressed or sorry edits that need to be made um so if you want to prevent that uh you can have a look at our review procedures and um and see how that applies to your data um and then we have metrics this applies once your data has been published and you want to say come back in a year or two and see how it's been um you know used you can see how many times been downloaded uh how many times it's been viewed etc we also have some FAQs at the top here um and a help section with different um useful information that that you might um you might need um we also have some exemplar data collections um that we that we included here um so if you want to have a look at how um you know how data collections should look like eventually um to click on these um and then here we have the UK Data Service website as I'm sure you um you probably have seen it um and if we search in the data catalog I'm just going to use um one research collection uh because I want to um show you how it looks like once it's published um so this will if we click on access this will take us to um reshare so this is how it looks like um once the collection has been published and so this is also just to clarify this is not a mock collection this is a real collection from the data catalog um and is available for um for use we can see how many times it's been downloaded already how many page views um you know we just spoke earlier about metrics um okay so we're going to use this collection um just a couple of details from it to um sort of recreate it just to give you a an idea of how how reshare works okay so the only thing I'm going to need from here is the grant number which I'm going to copy of course you're going to have your own grant number so don't you wouldn't need to do that um I'm just going to log in um just because I wanted to start from the very beginning so you see the process um yeah I'm University of Essex okay um and obviously you'll have to you'll have to you'll be prompted to introduce your credentials but because I've my my I've used this laptop before it remembers me okay so this is how um your um your home would look like your home page your account once you once you log in um you can see there you have different options here on the side um you you won't have all these options you will only have my data um I have some extra options because I have obviously um I'm an administrator for reshare um but you'll only have my data and um this is actually how it looks like this is the first tab um so these are all data collections that I've created over the years um but obviously if you're creating more than one data collection this is how you're gonna um see them um in your account um and you're you have different options here in terms of you know looking at it editing it again um deleting it etc um you yeah um and then choose an action um anyway so here um also before you deposit on your data collection you can um this is a um some more information here that it would be useful for you to um to know before you um you start your deposit process so you know it covers different file formats um file naming um a readme file and this is a template as well um and what it should contain um preparing essential documentation a data list we already looked at um right so if you if you need more information do you have a look at this okay um and then once we're ready we can go ahead and create a new data collection the first um so we see that there's six different sections at the top um and we're gonna have to go through each individual one uh before we reach the the last on the deposit where we actually submit the the collection for review the first section is on terms and conditions so of course you already are registered but you will also need to accept the the reshare terms and conditions which you can open here um if you click on this hyperlink um so basically you're confirming that you are the owner of the copyright um so if you collected primary data um in your project and that would be the case um however if you're using secondary data then um you need to make sure that you um you know you either obtain permission from the uh data owner to be able to share that data again or um you know it depends on license applies to that um data so wherever you you obtain that data from there should be some license information so that is just information that tells you you know how you're allowed to use that data um potentially share it in what um you know in what um condition um you know if it's derived etc um and um yeah so check the license and um but if you if you collect the data in your in your project that you would be the copyright holder there are some um uh aspects that I also need to consider so for example if you collected diary data um your um your research participants will also hold some copyright over that so you need to address it in your consent form or information sheet um and I think um but there's specific guidance for that um on our website so um do have a look at that if that is the case or just drop us an email and we're happy to help okay so once we read the terms and conditions we will need to take this to say that we have agreed we see that we have three different options at the bottom here so we have say for later we have cancelled the next every time we click next the data is saved so you don't have to worry that you're going to have to fill in a section once you've moved on but if you want to save it for later um this would pretty much just save everything and um take you back to the main um main screen back to my data where you'll be able to find the collection um collection there okay um I'm just going to move on to next now um and that takes me to the next um sections and onto ground details um as you see there's some fields that will have an asterisk um and that just indicates that it's a mandatory field you absolutely you have to fill in that field um before you submit that data collection um so keep that in mind um okay so we have ground reference here and that's why I copied that ground number because um so the if this um if your project is UK or UKRI funded um once you put in your grant number here um the information the grant information will be imported from um gateway to research so as you can see it found the the project and I'm just going to click on it and as you see um these fields have already been populated um with information about that project this is already just to mention um this is already available on the website so this is not uh and this is the real um ground holders but they are um you know already this is an already published collection right so everything that you're going to see is already available here so we're not you know accidentally showing you any names or anything in here just to mention that okay um okay so these projects are um these sorry these fields are populated um gateway to research um if you want to have a look this is where um the the information is being um harvested from and if you put the your grant number and search for it you'll also find the ground information here so this is basically all the information that's being harvested into reshare okay so we have the project title we have project description um yeah we have um the sponsor so we have the funder is the economic and social research council um of course um this is all information that is pooled in from gateway to research but you can also edit it so um of course at the point of the grant proposal um if anything substantial has changed you can you can edit this text if it not necessarily applies anymore um or if you um just I don't know fight some type of so you are able to um you know edit it right just um done that uh but and you can edit any any uh information on this um on this in this section in the ground holder section okay in the ground details section okay so and we have the ground holders here um we have project dates here um and then we can um you can sort through as you see we have these arrows um we can move um you can change the order um of the ground holders of the sponsors we see we have um some fields with asteris with some fields without as we looked earlier and I'm just going to move on to the next section we have um so we have people now uh and we need to add information as we see all the fields here have an asteris so we accept for contributors so we do have to um fill this um information in um so it is very important to make sure that this section is is um filled in correctly and appropriately um data creators so this is a section that um whoever we mentioned here will appear in the citation of that record so um I'm just going to go back to the page just to show you where we see the citation so this is the page of the the record or republished so this is the citation uh as we see you only have one name here um but this is um the names that are mentioned in this section will appear in the citation also the okay also the DOI we we um we discussed in the presentation earlier so this is the DOI this is the that digital object identifier um that is created and minted for every collection that is published um and this should ideally be um you know if you're planning or if you if you use another repository or an archive you should ensure that that archive amints a DOI for your data collection okay um and right and that should be included in the citation okay um so as I said we are here names everyone that we want um that should be included in the citation and of course so all the good data creators of that um that project um we also have the option of adding an ORCID or kit ORCID um here if we want to link to that to their profile um but really the affiliation should be added um not necessarily the email um if you don't want to share your email you don't have to where you do have to is for contact so whoever you're going to mention on the contact um you will need to provide an email address um just because um so obviously if there were any questions about your data collection um from our users they they should be able to contact someone um and it doesn't necessarily have to be um you know a personal email address we've had cases where um you know a department email was used or etc it basically just needs to be someone that will be able to answer questions about the data and the data collection okay um and the right toner so here again depending on um whether we also have sorry before continue we do have question marks for every um section so if you aren't sure about what information to include um type click on the question mark um but basically for copyright holders so um you will need to state all the individuals organizations that hold IP rights on for that data collection so as I said if you're collecting the data um then you will be the copyright holders um but if you're using data from other sources you would need to list them here um and um obviously provided that you have permission to share the data there's also a contributor section here so if there's anybody that you'd like to mention perhaps any research assistants or um people that have helped you with the project that is an option as well to add them and I'm just going to move on to the next section and I did that on purpose I didn't fill in all the all the sorry the fields just to see that um so for all the the fields I have an asterisk if you move on if you try to move on to the next section you haven't filled them and you're going to see a warning at the top um so do this is just to make sure that you do um you fill in those sections right so this doesn't have any information in the contact field here um so I would have to go and edit that okay I'm going to go around this and I'll just click on the next section um because this is an exercise but um when you are creating your data collections do not ignore these uh these warning signs because if it comes into review without all the mandatory fields um completed then we're going to have to send it back to you and that will cost us more time okay so we need to give a title to the data collection and I'm just going to use the same one that um you know the real one that the this later okay um and then we need to provide an abstract as well and I can just use the abstract that was in the real collection I'm not going to fill in all the sections don't worry but um yeah it's just so that we can see it when we go into the summary at the end so it's not just an empty empty record um again question marks everywhere so if you're not sure what to add um do you select that so data description abstract this is different from the grant um grant abstract that we saw in the ground detail section in the sense that this should describe the data itself um and obviously projects can change um once they've started they might you know deviate from that initial ground description so this we might end up collecting more data or less data etc so this should be actually a description of the data that is deposited and how it was collected etc okay then we have keywords and the the following fields we're going to have we're going to see here are useful to um to help us index the data so it allows us to make it discoverable in the catalog so we saw our data catalog earlier so if someone were to um you know come to the catalog and search for a keyword they would be able to land on this collection okay so um for example in this I'm going to add as a keyword once you start typing it should find it um here and you can select what applies we can add it um we recommend adding as many keywords as you can um at least 10 really um so um so the more keywords basically the more discoverable the dataset will be okay um and this is using um the tacitosaurus as well that we have at the uk data um that is developed so um if you're interested in that again um you can find more information on the on the website um but yeah just make sure that you you submit and many keywords as possible then we have topic classification um so we got um you know depending on what would apply to that collection I'm not sure what we have here topic we have social welfare and history um so I'm just going to add that okay as we see it has added the history I'm just going to leave it like that for now then we have temporal coverage um so this is collection period um and temporal coverage so this will um this will differ in the sense that um you know for example if we're collecting data about um I don't know the second world war obviously the temporal coverage would be um 1940-1945 is that I'm gonna anyway you know what I mean and then the collection period would be 2022 so um 3945 that is the correct period anyway um you you know what I mean um so it this is not a mandatory field so um do feel free to but again the more information that you provide here the better so um to provide this because it's very important to provide context for your data then we have geographical coverage um so this obviously if you're collecting data say from people from London you can add that there um the country um so you can add as many options in here as you want you can add more rows um you can filter the order you can add um latitude and longitude information um the geographical area really should be um um uh disaggregated um from the country right because you already have the country here so the geographical area should be you know a county or a city or a um that sort of thing um okay then we have spatial units so if this applies to your data please um select that as well um then we have methodology and this is also very important um to um make sure that you do include and I'm just going to take the um information from here and add it here so it just describes exactly what this collection is you know so we have in-depth interviews with um experts etc so it just um explains um how the data was collected from who etc then we have observation unit and in this case we have individual but um there are different options here um obviously depending on your data then we have kind of data um and we have numeric text um obviously in this case would be text because you have interviews but um you can select others data sourcing processing and preparation so as you can see this is not a mandatory field but this would be useful um to mention things that for example if you're using specific software um or if you encountered any any problems when processing the data or preparing the data so any really useful information that can be added and that would be useful for um people who are going to reuse the data in the future then we have type of data and here is qualitative and mixed methods so I'm just going to select that um obviously select what applies uh then we have the resource language so we do have data in um in other languages educated data service as well um and um so you can insert it here one thing I will mention so for data and foreign languages um we would um obviously need to be extra careful in terms of the anonymization process or standardization process so there will be questions about that in in that feedback that we provide um especially if there isn't a translation um that's also provided because we don't speak languages that um there might be people you know at the archive that speak that language um so we can check with them but that's not obviously realistically the case always um so there will be questions um for you if you submit the data in a foreign language in terms of you know um you know have your personal information have your anonymized in language content form or um all right so um there will be some extra questions for you just to make sure that um that we archive appropriately um okay and then we have related resources so this is where um you know in the presentation we discussed that if you have a project website um you can add it here so under the type we can see that this is the website so this is actually the um the link to the gateway to research that's where um all that information was harvested um on the first in the ground detail section um this is the name of the project and this is a website right um we can add a data collection so as I mentioned if you have any other data collections that are perhaps part of the same project and you you know archive them separately um or if there's a publication or software so you can choose different types of resources here and you can add as many as um as you want and then we have notes and access so this is um this is not something that will be published um this is something that is just a note to the reviewer so it's a it's a note for us when we're checking the collection after you submit it and you should include here really any concerns that you have it regarding to access for example if you're not sure about the access level or if um say you use consent and um you know you can say I have 50 interviews but only um you know I only got consent to share 40 of them or or something like that or your say some of the interviews are more you're more worried about than other interviews so we can separate them um also if you would like to apply an embargo um then also mention that in here um so that's a thing and then you won't have a ratio admin review that is just for um admin and as you can see uh I got a warning that is an access category which is actually something that um is part of the last field that um you do not have so don't worry about that but just make sure that you fill in all the mandatory fields and then we've moved on to the upload section and this is where we upload the data files and documentation files um there is some guidance here in terms of um you know um how large the files can be that you upload etc um make sure obviously that the files don't contain this closer information um and so um I'm just going to choose a file um I have a specifically folder for this so it's just a folder where transcripts is actually empty just to show you how um how that works so we have um that worked very quickly um and then we have a section here with different options in terms of um so we have the access level here um with the three different options that we discussed earlier so um again select the access level that you think applies or that should apply to your data again this is something that we discussed during the review process so um if you're unsure mention it in the notes and access okay and then we have the file or bundle content so this is depending on what type of file you're uploading so this data file so I selected data you can include um a description here so interview transcripts okay um where were we okay we can select an embargo date and then we have the license information so this would be again um depending on this is related to the access level two so for open access data we have the creative commons options and then for registered or closed access that would be our end user license so we need to select the end user license option here again if you're not sure um don't worry because we can advise on this during the review process okay um and then I'm going to upload another file um I'm going to upload a data list because this is a qualitative data collection and um we have so the same here um we do have anyone I need to select documentation here because it's a documentation file and then um yeah so the data let's say let's do this registered because it's a data file and choose UK data the the end user license okay um okay and this would be creative commons um right if we want to add a description we can we don't have to okay um so I can keep adding files as you see the important issue here is to bundle the files accordingly so as you see I have a folder for transcripts um if you have a mixed method project then um obviously bundled the the quantitative or any other types of data separately um we also have the option to um set different access levels obviously uh on different files so the transcripts can be um safeguarded and then if we have for example some survey data as well that can be open so they don't all have to be the same access level if we have different um transcripts that we think um you know that should go under a different access level um then you know sort them in different folders so that we can apply different access levels to them okay so when you organize your files um your data files keep access in mind as well if you have different types of data we can apply that to them okay um okay so now I'm just going to stop stop uploading things I'm going to move to the next section um again all the the the mandatory fields that I haven't um field then will be mentioned here so make sure that you go back and do that um it does remind you to provide a contact email um so make sure you do that and this is the last section right so um we can deposit the collection now um in which case it will um come to the review area and you won't um have um editing rights anymore until we send it back to your um your your work area um after we've reviewed it so keep that in mind or you can save it for later so if you still think okay I need to do some more edits so I'm not sure about this save it for later um and once you save it for later you'll be able to see it under my data here okay so I'm not going to deposit because this is a mock I'm just going to save it and once you save it you'll see um you know like a summary so this is all the information we've provided so we gave a title we provided some we imported all this information on grant information details from gateway to research we provide an abstract um this is the keyword that we added this is the topic classification we added um we have project dates here um coverage methodology this is um all the information that we um that we added earlier and we have the files right so this is the transcripts folder we uploaded as we see we can open that and see the access level we selected um you know the license we selected and that is the same for each file okay um and the related resources that we added so this is the website that we added is also here so this is the summary and this will be how you um you know you'll be able to view it under my data um but if you can if you decided that you're happy with this once you review that you can deposit it here um so deposit item just means that you're submitting it for review okay uh I'm not going to do that I'm just going to show you that this has saved under the last um the last title there okay so that is the the saved record okay um I think that is it in terms of how to use reshare um this is the already published collection and we have um we have looked at it already um we see all the data files that have been uploaded for this so as we see the the depositor has structured this um divided the interviews by the country where they were selected um so obviously this would apply to each individual project as you see fit to organize your data um we have some supporting documentation here we have the consent form that was used we have a readme file um I'm just going to open this readme file just to show you how it looks like um obviously you can access this from the catalog but um okay so this is what the readme file looks like you can also download a template of this and adapt it to your project so it's basically just the file name and then the short description of what that um folder contains um we have the ground number at the top and so yeah that is just it it just lists all the files and a short description of them okay um yeah and we discussed everything else I think um yeah uh I think that's it in terms of the demo uh we have quite a lot of time for leftover for questions um under the metrics again yeah this is something that um we um we surely looked at earlier but this is um you know we see how many times this data has been not particularly this data this is for all the data collections but we can sort by a specific data collection um obviously we can add in a specific number or an item type or um if we go to it from the actual project page so from here a few more stats although we can see them there so this is for this particular collection um how many data downloads um and how how it's been used okay okay so I think that is uh that is the demo and