This talk was provided by Plato Smith of the University of Florida for a NISO Training Thursday event on data management, held on Sept 8, 2016

1. Developing Campus Stakeholders’
Collaborations and Data
Management Plan Confidence
Plato L. Smith II, Data Management Librarian
NISO Training Thursday: Emerging Tools to Improve
Management of Data
Thursday, September 8, 2016

2. Table of Contents
1. Aligning and integrating campus stakeholders
2. Advancing and promoting campus tools
3. Developing and establishing collaborations
4. Using emerging tools to develop a use case
5. Incentivizing contribution and participation
6. References/Resources
7. Acknowledgements
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3. Aligning and integrating campus stakeholders
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Fig. 1 Stakeholders and Data Management Responsibilities
•Help select data/ingest data
into repositories
•Curate/preserve data
•Facilitate access/reuse
(including metadata)
•Provide training
•Provide HPC (high
performance computing),
infrastructure, storage
•Offer consultation,
resources, technical
support, and training
•Create research data
•Add context/meaning
•Develop budget to prepare,
store, archive
•Provide access & use
•Provide finances, data
curation infrastructure,
support, and services
•Develop Best Practices,
Guidance & Policies
Funders,
Senior
Management,
Office of
Research
PI, Faculty,
Researchers,
Scientists,
Students
Data Curators,
Librarians,
Managers,
Repositories
IT Partners,
Research
Computing,
Technology
Staff

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Fig. 2 DCC Lifecycle Model Mapped to Stakeholders (JISC et al., 2009)
Aligning and integrating campus stakeholders

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Fig. 3 Data Management Plan Components and Goals
Advancing and promoting campus tools

6. Developing and establishing collaborations
“… responding to the current increase in data
centered and data driven research by requiring that
researchers think ahead about the work and data
flows in their proposed projects…”
“... touches infrastructure and expertise.”
“…researchers more competitive in getting their
proposal funded with support to create solid
plans…” – Director of UF Research Computing
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7. Using emerging tools to develop a use case
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Fig. 4 zenodo main graphical user interface (GUI)

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Fig. 5 zenodo Sign in – GitHub, ORCID, or zenodo
Using emerging tools to develop a use case

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Fig. 6 zenodo dataset  representation  DOI
Using emerging tools to develop a use case

10. • zenodo Share widgets
– Mendeley
– CiteULike
– Twitter
– Facebook
– Print
– Add This
• zenodo Export Formats
– BibTeX, DataCite, EndNote, NLM, RefWorks, MARC,
MARCXML
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Using emerging tools to develop a use case

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Fig. 7 zenodo datasets  collection level
Using emerging tools to develop a use case

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Fig. 8 zenodo dataset  DOI badge
Using emerging tools to develop a use case

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Fig. 9 zenodo datasets  Collection Level  OAI-PMH Interface
Using emerging tools to develop a use case

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Fig. 10 Mendeley Data – test use case for a 4.93GB dataset
Using emerging tools to develop a use case

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Fig. 11 zenodo datasets with metrics
Using emerging tools to develop a use case

16. Login with OSF or ORCiD Logged in OSF with ORCiD id
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Using emerging tools to develop a use case

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Fig. 12 Open Science Framework (OSF) Dashboard
Using emerging tools to develop a use case

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Fig. 13 OSF Files, Tags, Recent Activity, and Citation
Using emerging tools to develop a use case

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Fig. 14 OSF Select Add-ons (Storage, Other, Citations)
Using emerging tools to develop a use case

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Fig. 15 OSF for Meetings
Using emerging tools to develop a use case

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• zenodo
• Mendeley
Data
• Campus IR
• zenodo
Variant Call
Format (vcf)
& csv datasets
Open
Science
Framework
Fig. 16 Level 3 curation (Lord & Macdonald, 2003)
Using emerging tools to develop a use case

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zenodo
Fig. 17 Public Access Plan Conformant Data Repositories
Using emerging tools to develop a use case

23.  OSF Support - zenodo and OSF integration is in development
by an open source contributor partnership team (developing)
 zenodo Support - file policy changing from 2GB per dataset
file size limit to 50GB per dataset record (upgrade - 9/12/16)
Data Management and Curation tools facilitate the:
• Aggregation, description, and representation of digital objects
• Dissemination and integration of digital objects and metadata
• Curation, publication and preservation of digital objects
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Using emerging tools to develop a use case

24. Tenure and/or Promotion (T & P)
Criteria (UF Libraries example)
1. Criteria One – Professional
Responsibility and Working
Relationships;
2. Criteria Two – Professional
Development and
Scholarship;
3. Criteria Three – Service to
the Libraries, the
University, the State and
the Profession. – Source:
http://cms.uflib.ufl.edu/cdh/chaptertwo
zenodo and Open Science
Framework Categories/Sections
• Funding – Grants
• Related/alternative identifiers
• Contributors; Publications
• Datasets
– Image; Software; Video/Audio;
Lesson
• References
• Journal Conference
• Book/Report/Chapter
• Thesis
• Subjects
• Conferences; Posters;
Presentations
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Incentivizing contribution and participation

25. • Center for Open Science. (2016, September 7). Reproducible Research and Statistics
Training. Retrieved from https://cos.io/stats_consulting/.
• Clyburne-sherin, A. (2016, July 25). Open + Reproducible Research Webinar for USGS.
Retrieved from http://tinyurl.com/z7abxuv.
• JISC, University of Glasgow Humanities Advanced Technology & Information Institute, &
Digital Curation Centre. (2009, October). Data Asset Framework Implementation Guide.
Retrieved from http://tinyurl.com/9frmcu6.
• Lord, P. and Macdonald, A. (2003). E-Science Curation Report, data curation for e-
Science in the UK: an audit to establish requirements for future curation and provision.
Retrieved from http://tinyurl.com/zjtdujb.
• Mendeley Data. (2016, September 7). Retrieved from https://data.mendeley.com/.
• Open Science Framework. (2016, September 7). Retrieved from https://osf.io/.
• United States Department of Transportation, Office of the Assistant Secretary for
Research and Technology. (2016, August 12). Data Repositories Conformant with the
DOT Public Access Plan. Retrieved from http://tinyurl.com/jrkgocl.
• zenodo. (2016, September 7). Retrieved from https://zenodo.org/.
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References/Resources

26. Acknowledgments
• Dr. Erik Deumens – Director, UF Research Computing
• Data Management and Curation Working Group
• Sobha Jaishankar – Assistant Vice President and Lecturer, UF
Division of Research Program Development
• Stephanie Gray – Assistant Vice President, UF Division of
Sponsored Programs
• Lisa Stroud – Assistant Director of Research Analytics, UF
Division of Sponsored Programs
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27. Thank you
Questions and comments
Plato Smith
plato.smith@ufl.edu
Data Management and Curation Working Group
datamgmt-l@lists.ufl.edu
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