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Group exercise :  scoping data and curation requirements
Instructions ,[object Object],[object Object],[object Object],[object Object]
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? ,[object Object],[object Object],[object Object],[object Object]
Key questions to be asked ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methods for collecting information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ensuring participation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thanks Any questions? ,[object Object],[object Object]

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

Notes de l'éditeur

  1. 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.
  2. The DAF implementation guide can be used for ideas. This gives examples of questionnaires / interview frameworks the pilots have used to scope requirements.
  3. 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?
  4. 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.
  5. 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.
  6. 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.