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Thing 18: Data interviews: talk the talk

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Thing 18: Data interviews: talk the talk

Learn some tips and tricks for responding to data queries and starting a data conversation.

  • Getting started: asking the essential questions to create metadata records, or find out about research data needs
  • Learn more: conversations starters about research data services, or think about how interviews uncover vital information useful for data planning
  • Challenge me: in depth interviews reveal the extent to which data reuse is dependent on tools and software - what’s your advice?

Getting startedLearn moreChallenge me


getting started

Thing 18: Data interviews: talk the talk

Getting started: Starting a data conversation

Thing 18: Data interviews; talk the talk

Thing 18 offers a simple way to think about key messages and possible responses that can be used to quickly and succinctly pitch research data management to researchers. The responses can be contextualised to suit what is available at your organisation.

  1. Start by scrolling to the very last link on the bottom of this page and either open the PDF or download the Word version of the What’s my pitch?” document
  2. If you can, fill in the gaps in the document with your institutional services.  If you don’t know the answer to some, see if you can find out. The result will be your own version of the toolkit.
Consider: What are some ideas you may have for conversation starters?

Do you have a question?  Want to share a resource?


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Learn more

Thing 18: Data interviews: talk the talk

Learn more:  Tools for data interviews

Thing 18: Data interviews: talk the talk

Option 1: Interviews to collect metadata

Imagine you are asked to gather information to complete a metadata record for either data which will be created as a result of a project or for existing data at the end of a project where the data now must be published.

  • Work through the steps in Interviewing researchers toolkit from Monash University
  • Consider: the value of this toolkit. Compare it to other interview tool-kits you know of.

Option 2: Interviews which explore data management practice

The Data Curation Profiles Toolkit, developed by Purdue University in the US, is meant to help launch discussions between librarians, archivists, IT professionals, data managers, and others, and researchers, in order to aid in the planning of data services that directly address the needs of researchers.

  1. Start with the Data Curation Profiles Toolkit overview
  2. Have a look at the description of one of the most popular Data Curation Profiles which has been downloaded nearly 500 times: History / Sustainable Development - Purdue University. Note the citation and DOI for this Profile.
  3. Click on the Download button to see the actual questions asked/not discussed and the answers. It is fascinating to see the strengths and gaps in the data management skills of the researcher.

Share: choose 1 question where the researcher did not know how to respond.  What you would do to support the researcher with this concept?

If you have time: Browse over the 4 documents which make up the Data Curation Profiles Toolkit. Together, they provide a step-by-step guide for creating a Data Curation Profile like the one you have just looked at.

Consider: Choose 1 question where the researcher did not know how to respond. What what you to do suport the researcher with this concept?

Do you have a question?  Want to share a resource?


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Challenge me

Thing 18: Data interviews: talk the talk

Challenge me:  Data Curation Profiles in depth

Thing 18: Data interviews: talk the talk

A ‘Data Curation Profile’ is a resource for people who want information about the specific data generated and used in research areas and how that may be published, shared, and preserved for re-use. Research projects increasingly use a range of tools, instruments and software. This activity considers what questions you would need to ask and what options you could offer to include information about tools, software etc in a metadata record or website where reuse is dependent on software.

Note: if you aren’t familiar with the Data Curation Profile tools, you may wish to skim over the Learn more Option 2 activity before you start this one.

Option 1: Geophysics and Seismology / Structural Geology and Neotectonics

This data curation profile covers a data set generated from research on plate tectonics. The data management needs centre around data sharing, connecting the data to publications, and making the data discoverable.

  1. Go to Section 3.2 (p4) and Section 9 - Tools (pp8-9)
  2. Note the information at the end of Section 9 to potential users about what compute will be needed to be able to investigate or reuse this data

Consider: given the data owners want this data to be open, waht would you need to include in the metadata to ensure reuse of the data was possible?

Option 2: Sociology / Demographics

Section 9 of this Data Curation Profile states that:

“If this data were hosted in an external data repository, it would be a high priority to be able to continue to use visualization tools such as Google Maps and Google Charts. The ability to annotate or comment on the data set was a lesser (medium) priority; possible uses would include knowing when a user reports that more recent data is available elsewhere.

What options could you offer the researcher to achieve their high and medium priorities? If you can't offer advice, how could you find a potential solution?

Do you have a question?  Want to share a resource?


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