IMPROVING DATA CURATION SERVICES
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1 IMPROVING DATA CURATION SERVICES WITHIN AN INSTITUTIONAL REPOSITORY UNC Chapel Hill Libraries Julie Rudder - Repository Program Librarian Rebekah Kati - Institutional Repository Librarian
2 Overview Introduction Levels of Data Curation Activities Exercise Using the Levels of Data Curation at UNC Hyrax Audit for Data Next Steps
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5 Why research data curation, why now? Support FAIR data, Open Science Support faculty goals with grants and data sharing OA policy (resources and renewed interest in data) New staff
6 Sure, we do data curation! Specific & shared understanding
7 Triangle Research Libraries Network (TRLN) Institute Data Curation Team at Duke University Digital Repository Content Analysts: Moira Downey, Susan Ivey Senior Research Data Management Consultants: Sophia Lafferty-Hess, Jennifer Darragh
8 Goals for TRLN Institute provide more specificity around data curation within our individual contexts determine a method to discuss our service model identify gaps we would like to fill determine what is currently out of scope for our repositories.
9 ARL SPEC KIT 354 respondents conflated data curation activities with research data management services this indicates that a common understanding of data curation is not widespread or ubiquitous (Hudson-Vitale et al., 2017)
10 A Definition for Research Data Curation the encompassing work and actions taken by curators of a data repository in order to provide meaningful and enduring access to data. Date Curation Network(Johnston et al., 2016).
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12 Level 1 (UNC) - Systems and Policies Ingest: Authenticity, Chain of Custody, Deposit Agreement, Documentation, File Validation, Metadata Appraisal: *Rights Management (licenses only) Curate: Arrangement & Description, File Inventory or Manifest, Indexing, Persistent ID, Transcoding Access: Contact information, Data Citation, Discovery Services, Embargo, File Download, Full Text-Indexing, Metadata Brokerage, Terms of Use, Use Analytics, *Restricted Access (system automated) Preservation: File Audit, Migration, Secure Storage, Succession Planning, Tech/Monitoring Refresh, Versioning, Cease Data Curation
13 Level 2 (Duke) - Human intervention, data knowledge Appraise/Accept: *Rights Management (DUAs), *Risk Management (file review), Selection Curate: Contextualize, Curation Log, File Format Transformations, File Renaming, *Quality Assurance, Restructure Access: *Restricted Access (mediated requests) Preserve: Repository Certification
14 Level 3: Human intervention, domain-specific, data knowledge Appraise/Accept: *Risk Management (remediation) Curate: *Code Review Conversion (Analog), Data Cleaning, De-Identification, Interoperability, Peer Review, Quality Assurance, Software Registry Access: Data Visualization Preserve: Emulation
15 Using the Levels in the CDR Feasibility of FAIR with current staffing levels and generalist subject knowledge? What is our sweet spot? Where can we add value? Is our new system Hyrax good for data? Capabilities? How do we get institutional support? What training do we need?
16 What did we do? Training Created policies Created documentation Created new workflow Assessed existing deposits Evaluated Hyrax for data
17 Training Data management online course Literature review Review of existing services Conference attendance Workshops
18 Why a new data policy? Formalized and documented service activities Defines activities in Levels Transparency in services Large deposit approval took a long time Data definition was vague Administrative and library leadership buy-in for service and staff time
19 What is in the new data policy? Data definition Review of large deposit requests is now reviewed by data librarians 10 year retention review Tombstone record Submission review by CDR staff ReadMe or other documentation is now required
20 Documentation CDR staff documentation Mediated deposit questions Workflow for self and mediated submission Comparison document contrasting old practice with new policy Depositor documentation Data deposit FAQs ReadMe template
21 Workflow
22 Existing Data Deposit Assessment Project Goals Determine compliance with new policy Test scope of service Test new workflow Target areas for improvement
23 Results Compliance with new policy ReadMe needed Open formats needed DOIs and licenses are good! Scope of the service Covers self and mediated deposit, not supplemental data Test of new workflow Further questions
24 Where Do We Go Next? Locally Launch Hyrax Evaluate level of data support as submissions increase Investigate subject area data curation support Assess Level Two activities to plan future service expansion Community Audit Hyrax work to support data
25 Hyrax Audit for FAIR/Level One
26 Repository Data Audit Community Template Cz5SyWnicX8i2M/edit#gid=0 Hyrax Capability Local Solution Needed Policy Needed
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29 Works Cited FORCE11. The FAIR Data Principles. Retrieved June 1, 2018 from: Hudson-Vitale, Cynthia; Imker, Heidi; Johnson, Lisa R.; Carlson, Jake; Kozlowski, Wendy; Olendorf, Robert; and Stewart, Claire. (2017). SPEC Kit 354 Data Curation. Washington DC: Association of Research Libraries. Johnson, Lisa R.; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; and Stewart, Claire. (2016, October 23). Data Curation Network: Data Curation Terms and Activities. Retrieved from: Johnson, Lisa R.; Carlson, Jacob; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; and Stewart, Claire. (2018). How Important Are Data Curation Activities to Researchers? Gaps and Opportunities for Academic Libraries. Journal of Librarianship and Scholarly Communication, 6(General Issue), ep Lafferty-Hess, Sophia; Rudder, Julie; Downey, Moira; Ivey, Susan; and Darragh, Jen. (2018). Conceptualizing Data Curation Activities Within Two Academic Libraries. Retrieved from:
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