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DAF group exercise: scoping data and curation requirements, by Sarah Jones
DAF group exercise: scoping data and curation requirements, by Sarah Jones
DAF group exercise: scoping data and curation requirements, by Sarah Jones
DAF group exercise: scoping data and curation requirements, by Sarah Jones
DAF group exercise: scoping data and curation requirements, by Sarah Jones
DAF group exercise: scoping data and curation requirements, by Sarah Jones
DAF group exercise: scoping data and curation requirements, by Sarah Jones
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DAF group exercise: scoping data and curation requirements, by Sarah Jones

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Learn how to use the Data Asset Framework (DAF) in a directed group exercise. This was presented as part of module 1 of a 5-module course on digital preservation tools for repository managers, …

Learn how to use the Data Asset Framework (DAF) in a directed group exercise. This was presented as part of module 1 of a 5-module course on digital preservation tools for repository managers, presented by the JISC KeepIt project. For more on this and other presentations in this course look for the tag 'KeepIt course' in the project blog http://blogs.ecs.soton.ac.uk/keepit/

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  • Increasingly, there are expectations on researchers / institutions to preserve data to ensure long-term access, both from publishers, funders and the general public. In the exercise we want to think about the role the IR will play in meeting these requirements by discussing: how to scope the range of data types and service expectations for data management / curation.
  • The DAF implementation guide can be used for ideas. This gives examples of questionnaires / interview frameworks the pilots have used to scope requirements.
  • The text in orange outlines the broad theme for us. During the exercise I’d like the groups to discuss the three questions below. If you were planning to undertake / offer data curation services at your repository and wanted to scope requirements first: What would your key questions be? E.g. What types/formats/quantities of data uni researchers are creating? What do they plan / hope to deposit in the repository? What do they expect of the repository? How would you go about finding that out? What methods will you use to collect information? Where will you find that information? Who will you need to speak to? How would you ensure participation? How are people encouraged to take part? What will it do for people – benefits of participation?
  • There are lots of examples of how people have used DAF or done similar data survey work. Questionnaires and interview approaches have been made available. Please reference if you use them.
  • Different methods used by DAF pilots – pros and cons to each. Other methods e.g. lab notebooks used in RIN case studies, could be relevant too.
  • Senior management approval and internal advocates have both been found to get the ball rolling well – see GU policy study and GUARD audit. Defining benefits is crucial – Imperial College and Oregon have provided examples of their approaches.
  • Transcript

    • 1. Group exercise : scoping data and curation requirements
    • 2. Instructions <ul><li>We’ll break into groups of 4-5 people </li></ul><ul><li>Take one of your repositories as the scenario OR imagine you all work in a repository that’s about to start curating data </li></ul><ul><li>Discuss how would identify the data types and scope curation requirements (45 mins) </li></ul><ul><li>Open feedback and discussion (30 mins) </li></ul>
    • 3. How would you scope: 1) the range of data being created at your institution? 2) user expectations / requirements on the repository to help manage and preserve those data? <ul><li>What would you want to find out? </li></ul><ul><ul><li>what would your key questions be? </li></ul></ul><ul><li>How would you go about collecting information? </li></ul><ul><li>How would you ensure participation? </li></ul>
    • 4. Key questions to be asked <ul><li>Examples from DAF projects are available in the Implementation Guide – </li></ul><ul><li>http://www.data-audit.eu/docs/DAF_Implementation_Guide.pdf </li></ul><ul><li>Other relevant data studies </li></ul><ul><li>Australian University survey, investigating data management - http://www.apsr.edu.au/orca/investigating_data_management.pdf </li></ul><ul><li>Glasgow University policy study - http://www.hatii.arts.gla.ac.uk/research/prespolicy.html </li></ul><ul><li>Oxford University projects - http://www.ict.ox.ac.uk/odit/projects/digitalrepository/ and http://eidcsr.blogspot.com/ </li></ul><ul><li>Purdue data interviews - http://docs.lib.purdue.edu/lib_research/81/ </li></ul><ul><li>RIN life science case studies - http://www.rin.ac.uk/our-work/using-and-accessing-information-resources/disciplinary-case-studies-life-sciences </li></ul><ul><li>SCARP project - http://www.dcc.ac.uk/scarp/ </li></ul><ul><li>University of Wisconsin study - http://tiny.cc/B2H8e </li></ul>
    • 5. Methods for collecting information <ul><li>Desk-based research </li></ul><ul><ul><li>Good for initial planning stage and to collate background information </li></ul></ul><ul><ul><li>Remote access to data a challenge and could be hard to understand. TIP : use PhD students </li></ul></ul><ul><li>Survey questionnaires </li></ul><ul><ul><li>Good for collecting basic overview and to obtain wide participation </li></ul></ul><ul><ul><li>Can be useful to identify potential interviewees </li></ul></ul><ul><ul><li>Uptake can be low – best if pushed by internal advocate </li></ul></ul><ul><ul><li>Make sure software meets needs. TIP : Use Bristol Online Surveys Data interviews </li></ul></ul><ul><li>Interviews </li></ul><ul><ul><li>Provide best quality information – ability to develop questions to follow up on key points </li></ul></ul><ul><ul><li>Allow you to gauge awareness of data issues better </li></ul></ul><ul><ul><li>Very time consuming – TIP : one person to interview and one to note-take. Lifecycle model can provide useful framework to guide discussion. </li></ul></ul><ul><li>Focus groups </li></ul><ul><ul><li>Good for reaching consensus and developing ideas </li></ul></ul><ul><ul><li>May be difficult to set up. TIP : Work through local advocates. </li></ul></ul><ul><li>also information lab notebooks as used in RIN case studies </li></ul>
    • 6. Ensuring participation <ul><li>Senior management approval </li></ul><ul><li>Internal advocate </li></ul><ul><li>Sell the benefits to the individual and institution </li></ul><ul><ul><li>Imperial College – http://ie-repository.jisc.ac.uk/307/ pp19-20 </li></ul></ul><ul><ul><li>University of Oregon business case for DAF audit - http://libweb.uoregon.edu/inc/data/faculty/datainventorybizcase.pdf </li></ul></ul>
    • 7. Thanks Any questions? <ul><li>Sarah Jones - [email_address] </li></ul><ul><li>http://www.data-audit.eu </li></ul>

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