Data Curation: Technical Challenges Facing Repositories. Brianna Marshall Jan. 9, 2014
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1 Data Curation: Technical Challenges Facing Repositories Brianna Marshall Jan. 9, 2014
2 Defining digital curation Maintaining and adding value to a trusted body of digital information for current and future use; specifically... the active management and appraisal of data over the life-cycle of scholarly and scientific materials. -Digital Curation Centre
3 DCC Curation Lifecycle Model 1. Create or receive 2. Appraise and select 3. Ingest 4. Preservation action 5. Store 6. Access, use, and reuse 7. Transform
4 Broad data curation challenges Data are heterogeneous Formats Size Complexity Fixity
5 Broad data curation challenges For most IR platforms, data is an afterthought Created initially for electronic theses and dissertations (ETDs), other publications Not intended for active data collection
6 The real problem So much of the active data curation that takes place is outside the repository.
7 Example workflow (IU) Konkiel, Snajdr, Marshall; LITA 2013
8 Worth pondering... Should we build additional technical functionality into a repository? Or just create better workflows between repositories and data curation tools? Electronic lab notebooks Data Curation Profiles Toolkit DMPTool
9 Existing repository platforms
10
11 What are repositories doing well? Storage & access Indexing items for search engine discoverability Authentication / authorization Time-based access control (embargoes)
12 Researchers need more, though Persistent identifiers For datasets For data creators (disambiguation) Metadata Altmetrics Improved data ingest
13 Persistent identifiers DOIs Growing push to cite datasets (DataCite) Data sharing proven to increase citations (Piowawar & Vision, 2013) DSpace 4.0 now offers DOIs in addition to handles
14 Author identifiers (disambiguation)
15 Metadata Currently, Dublin Core is default Why not the DataCite metadata schema?
16 AlternateIdentifier
17 AlternateIdentifier RelatedIdentifier
18 AlternateIdentifier RelatedIdentifier Version
19 Tracks: Scholarly impact Bookmarking Blog mentions Popular impact News outlet mentions (Konkiel, 2013)
20
21
22 Data ingest Current workflows are clunky and inconvenient Command line or manual ingest Batch ingest usually undertaken by institution Could benefit from integrations with researchers local hard drive
23 So how did we get here? Dealing with the data deluge is new, overwhelming - no easy answers Institutions become locked in to the quirks of their particular repository system Takes developer time, either to adapt others code or create from scratch
24 New data curation models Hydra ScholarSphere (Penn State) Curate/Shared IR collaboration A Next Generation IR solution with emphasis on flexibility and responsiveness to emerging needs. Of particular priority will be the ability to accept and manage highly complex objects and research data. ( SHARE (SHared Access Research Ecosystem) Separate repositories for digital content Purdue University IUPUI Partnerships with external data repositories (Dryad)
25 Final thoughts Repositories are a crucial aspect of data curation, but they can t do it all Current IRs enable storage and access less so other aspects of data curation Overall, repository functionality must continue to adapt and anticipate researchers needs There is no one perfect solution (yet)
26 Resources Chapman, J. W., Reynolds, D., and Shreeves, S. (2009). Repository Metadata: Approaches and Challenges. Cataloging & Classification Quarterly, 47: De Castro, P., and Warner, Simeon (2013). ORCID Implementation in Open Access Repositories and Institutional Research Information Management Systems. Presentation at Open Repositories Charlottetown, PEI, Canada. Konkiel, S., and Halliday, J. (2013). IUScholarWorks, Statistics, and Altmetrics. Presentation at the Digital Library Brown Bag series. Konkiel, S. (2012). "Robust 'Altmetrics' as a Framework for Measuring Item Usage and Researcher Impact in Institutional Repositories." Poster presentation at 2012 LITA National Forum. Columbus, OH, USA. 5-7 October Metadata and Repository Services for Research Data Curation. DuraSpace Community Webinar, October Piwowar, H., and Vision, T. (2013). Data reuse and the open data citation advantage. PeerJ1:e175 org/ /peerj.175
27 Thank you! Brianna
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