Developing Data Management Plans (DMP) Scholarly Communication Initiative Mississippi State University Libraries March 25, 2015

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Developing Data Management Plans (DMP) Scholarly Communication Initiative Mississippi State University Libraries March 25, 2015

Overview What s new with data management? Why is the library involved with data management? Data Management Services at MSU Libraries Data Management Plan (DMP) overview DMPTool demonstration

Data Management Includes: Collecting Organizing Storing Sharing Archiving data created during research.

Challenges to Managing Data Sensitive data Quantity of data collected Format of data Multiple researchers Rotating group of researchers More than one location

Federal Mandates

Consolidated and Further Continuing Appropriations Act, 2015

Federal Agencies NIH Data Sharing Policy and Implementation Guidance (2003) NSF Data Management Plan Requirements (2011) Little standardization across agency data management requirements

Not just federal State-level California Illinois New York Private Funders Bill and Melinda Gates Foundation Howard Hughes Medical Institute (HHMI) Sloan Foundation Wellcome Trust

Scholarly Publishing and Academic Resources Coalition (SPARC) What is SPARC? MSU is a founding member of this international alliance of academic and research libraries Promotes changes to infrastructure and culture to make "open" the default mode in scholarly communication Research Data Sharing Policy Initiative The aim of the project is to contribute productively to the process of shaping emerging funder policies and practices for sharing research data that are academy-friendly and promote the fullest possible accessibility and utility of research data.

Open Data for Publications Joint Data Archiving Policy (JDAP) Sample text: [Journal] requires, as a condition for publication, that data supporting the results in the paper should be archived in an appropriate public archive, such as [list of approved archives here]. Data are important products of the scientific enterprise, and they should be preserved and usable for decades in the future. Examples of Journals adopting JDAP American Journal of Botany Journal of Animal Ecology Journal of Consumer Research Journal of Evolutionary Biology Journal of Fish and Wildlife Management Paleontology

Open Data and Publishing Open Access PLOS PubMed Central Nature Open Data DataONE Dryad ICPSR NCBI

MSU Libraries and Data Management Respond to demonstrated campus research needs Work with Office of Research and Economic Development (ORED) Formed the Data Management Services Committee Leverage in-house expertise Investigate successful library data management programs Investigate campus data needs with faculty pilot group Become data management assets for researchers at MSU

Data Management Services at MSU Libraries

Data Management Plans (DMPs) A formal document that outlines a researcher s practices for collecting, organizing, archiving and sharing the data produced as part of a research project. Different funding agencies have different specifications for what information must be included in a DMP.

Main Components of a DMP 1. Description of data 2. Metadata standards 3. Discussion of security and ethics 4. Plans for access, sharing, and reuse 5. Long-term management and preservation 6. Budget considerations

1. Description of Data What type of data will be produced? How will data be collected? In what formats? Will you use pre-existing data? From where? What is your storage and backup strategy?

2. Metadata standards Metadata is language that describes your data What standards will be used for documentation and metadata? What project and data identifiers will be assigned? Is there a community standard for metadata integration?

3. Discussion of security and ethics What steps will be taken to protect privacy? Who will have access to the data, and at what stage of the project? Who owns the rights to the data created?

4. Plans for access, sharing, and re-use At what stage will the data be shared? Are there obligations from funders, institutions, or journal publishers to share all or part of the data? Who will be able to access the data? Where will the data be shared?

5. Long-term management and preservation How will the data be archived for preservation and longterm access? How long should it be retained? Where will it be retained? Who will maintain my data for the long-term?

6. Budget Considerations What hardware is needed? What software is needed? How will data management be funded?

DMP Examples NSF Proposal, Rio Grande Basin Hydrologic Geodatabase Compendium NIH examples of Data Sharing Plans

DMPTool Demo

Data Management Services Committee at MSU Libraries Kirsten Andrews (chair) Asst Professor & Electronic Resources Librarian Brad Brazzeal, Assoc Professor & Agriculture, Forest Resources and Extension Librarian Stephen Cunetto, Administrator of Systems Melody Dale, Asst Professor & Serials Cataloger Clay Hill, Websites Manager Paul Huddleston, Network and Systems Manager Sheeji Kathuria, Asst Professor & Social Sciences Librarian Randall McMillen, Digital Projects Coordinator Amanda Clay Powers, Assoc Professor & Coordinator of Research Services Ryan Semmes, Assoc Professor & Interim/Internal Coordinator of the Congressional and Political Research Center Julie Dunn Shedd, Digital Initiatives Librarian Li Zhang, Assoc Professor & Science & Engineering Librarian

Questions? Contact us! data@library.msstate.edu lib.msstate.edu/researchers

Scholarly Communication Initiative Mississippi State University Libraries

Additional Resources Data Management Services at MSU Libraries Disciplinary Metadata Standards (Digital Curation Centre) DMPTool Office of Science and Technology mandate (2013) Office of Management and Budget (2013) Consolidated and Further Continuing Appropriations Act (2015) NSF Data Management Plan Requirements (2011) Sample DMP: NSF Proposal, Rio Grande Basin Hydrologic Geodatabase Compendium Sample Data Sharing Plans, NIH