Agenda
Data Management Plans
Funder Requirements
Data Citing
Activities
Data Management Plan formal document that describes the data produced in the course of a research project and outlines the data management strategies that will be implemented both during the active phase of the project and after the project ends.
http://libguides.uta.edu/dmlg
Funders Requiring DMPs National Science Foundation (NSF) National Institutes of Health (NIH)
Alfred P. Sloan Foundation
National Aeronautics and Space Administration (NASA)
Institute of Museum and Library Services (IMLS)
National Endowment for the Humanities (NEH)
Gordon & Betty Moore Foundation
Institute of Education Sciences (IES)
...and many more
Reasons for DMPs Transparency and openness
Greater returns on investment
Open Data Allows for verification of results
Promotes new research
Provides resources for training
Discourages unintentional redundancy
Funder Requirements
National Science Foundation (NSF) 2 page document
Data that will be produced
Data & metadata format and content
Policies for access and sharing, including security provisions
Policies and provisions for dissemination and reuse
Plans for archiving, preserving, and providing access to the data
Funder Requirements
National Institutes of Health (NIH) Over $500,000 in direct costs
Final dataset formats
Documentation
Analytic tools
Data sharing agreements
How & when data will be made accessible to others
Funder Requirements
National Endowment for the Humanities (NEH) Answer two questions
What data are generated by your research?
What is your plan for managing these data?
Funder Requirements
National Endowment for the Humanities (NEH) Components
How data will be produced
How data will be managed/maintained
Factors that may impact researcher's ability to manage the data
Information needed to be managed/maintained alongside the data
How the data will be shared in a timely manner
Facilities used to preserve the data
Data Citation
(Australian Nat'l Data Service) A key practice underpinning the recognition of data as a primary research output rather than a by-product of research
Data Citation Benefits
Ensures proper credit is given
Makes it possible to estimate dataset impact
Links datasets to related methodology in articles
Makes it easier to discover existing data relevant to a particular research question
Data Citation Principles
Importance
Credit & Attribution
Evidence
Unique Identification
Access
Persistence
Specificity/Verifiability
Interoperability/Flexibility
https://www.force11.org/datacitation
Data Citation Elements
Author/PI/creator
Release/publication date
Title
Publisher
Unique identifier
Version number
Resource type
DataCite
Identifier
Unique Identification
Access
Persistence
Specificity/Verifiability
Non-Published Data
Davis, Suzanne. 2004. Email message. (Communications Officer, Advisory Services, Statistics Canada.) June 2016.
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Data Management:
Funder Requirements and Citing Data
Peace Ossom Williamson
Data Management Learning Group - May 2, 2016
pow123.github.io/DMPs/#/
DMP Checklist