Learning Hands-on and by Trial & Error with Data Curation Profiles D. Scott Brandt assoc dean for research Framing the digital curation curriculum International.

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Learning Hands-on and by Trial & Error with Data Curation Profiles D. Scott Brandt assoc dean for research Framing the digital curation curriculum International Conference Florence, Italy / May 2013

Who’s willing to share what with whom? 2007: interviews with 20 data producing researchers found they has similar questions/concerns about their data— this resulted in the development of the Data Curation Profile, and became the basis for the subsequent Toolkit.

*D. Scott Brandt. Provost Fellowship, Final Report 2009 (unpublished) “small science” – single PI in a fairly small lab setting Such researchers self report: no specific person for data management/curation; data is likely saved to hard drives in the lab and backed up on CDs, usually by the students. While students have received “research integrity” training (which focuses on making data available upon request by funder, publisher, or FOIA, etc.) it is not likely that anyone could retrieve usable data easily or quickly.* Single PI/Small lab scenarios

Hands on Trail & Error Research article DCP interview Data Curation Profile Research data repository

Initial goal: create DCP, toolkit, workshops on how to use, resource of Profiles Toolkit DIY instructions Tutorial learning objectives Workshop lesson plan Understanding data curation/management in academic setting Can the Curriculum Framework help assess ‘curriculum’ going forward? Can the Curriculum Framework help assess ‘curriculum’ going forward?

Outcome of 12 DCP Toolkit Workshops

Knowledge and principles Skills and competences Audience/profile types Part of digital curation lifecycle Teaching methods/training delivery Professional context Knowledge and principles Skills and competences Audience/profile types Part of digital curation lifecycle Teaching methods/training delivery Professional context DIY DCP workshop DCP tutorial Curriculum Framework and DCP… other?

1.Knowledge: data curation, the DCP as instrument, research project, data lifecycle… 2.Skills and competences: depends on context 3.Audience/profile types: multiple perspectives 4.Part of digital curation lifecycle: curation? research? data? scholarly communication? 5.Teaching methods/training delivery: lecture, reading, modeling, scenarios, video, exercises, problem solving, reflection and peer review 6.Professional context: which perspective Framework, Profiles and Preservation…

Researcher Data Repository 3.2 Data kinds 3.3 Target data 2.Description of data 5. Organization and Description 6. Ingest/ Transfer 4.4 Attribution 8. Discovery 10. Interoperability 7. Sharing & Access 13. Preservation 12. Data Mgmt understandingnegotiation 4. Intellectual Property Digital --- Curation --- Preservation

Tell me where is curation bred, in the heart or in the head? To best use Framework for Data Curation Profile training, I need to more clearly identify what is curricular, what is extra-curricular… what is requisite and prerequisite if multiple perspectives can be represented how much about digital curation a librarian needs to interview a researcher about her/his research data and workflow and sharing

DCP Directory launched January published Profiles as of February Purdue Libraries Publishing Services provides platform and sustainability Profiles are citable publications w/ DOIs Editorially reviewed 30 published Profiles as of February Purdue Libraries Publishing Services provides platform and sustainability Profiles are citable publications w/ DOIs Editorially reviewed docs.lib.purdue.edu/dcp/

One of those times where, even if your parents don’t understand what you do, they can at least say, “well you must half way know what you’re doing…” Michael Witt, Jake Carlson, D. Scott Brandt

D. Scott Brandt Framing the digital curation curriculum International Conference Florence, Italy / May 2013 grazie mille