Data Management:

Funder Requirements and Citing Data

 


Peace Ossom Williamson
Data Management Learning Group - May 2, 2016

 

pow123.github.io/DMPs/#/

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

Digital Curation Centre

DCC logoDMP Checklist

Data Citation

The practice of providing a reference to data in the same way as researchers routinely provide bibliographic reference to printed resources.

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

Creator (PublicationYear): Title. Publisher. Identifier.

Identifier

  • Unique Identification
  • Access
  • Persistence
  • Specificity/Verifiability

Non-Published Data

Davis, Suzanne. 2004. Email message. (Communications Officer, Advisory Services, Statistics Canada.) June 2016.

Activities

  1. ACTIVITY 1: DMP Activity



  2. ACTIVITY 2: Data Citation Activity