This document discusses the development of machine-actionable data management plans (DMPs). Currently, DMPs are often one-time documents created at the grant stage that are not revisited. The presenters propose making DMPs living documents that are interconnected with other research information, such as people, grants, methods, and outputs. They are working on a single DMP system that harnesses community efforts and creates structured, machine-readable DMPs. This would allow DMPs and their elements to be automatically generated, shared, and used to alleviate administrative burdens and improve data management.

1. Data Management Plans 2.0
A Hub of Information to Facilitate Research
John Chodacki (on behalf of Stephanie Simms) | California Digital Library | john.chodacki@ucop.edu
AGU Fall Meeting | Washington, DC | Dec 11, 2018

2. What is a data management plan?
A document that describes what you will do with your data
during your research
and after you complete your project

3. Why DMPs and data sharing?
Because you have to >> Funder and publisher mandates
Because you should >> Open research practices
Because it will help you do your research!

4. Overview
Current theory and practice: DMPTool & DMPRoadmap project
https://github.com/DMPRoadmap/roadmap
Machine-actionable DMPs of the future!

5. ● DMP on periphery
● Often done at grant stage and not looked at again
● Opportunities to (re)use information being missed
● Disconnected & unlinked

6. ● DMP as a living document
● Inventory of key project info: people, grants,
methods/protocols, outputs, etc.

7. DMPTool & DMPRoadmap project
Build a single DMP system to:
1. Harness community development efforts
2. Create next-generation, machine-actionable DMPs

10. Machine-actionable DMPs
This term refers to information that is structured in a consistent way so that
machines, or computers, can be programmed against the structure.
Data Documentation Initiative
Make Magazine, CC BY 2.0

11. Stakeholders

12. White paper
Interoperability with research systems
Leveraging PIDs
Repository use cases
Institutional perspective
Data discovery & reuse
Evaluation & monitoring
Disciplinary tailoring
Publishing DMPs
https://doi.org/10.3897/rio.3.e13086

13. The vision:
Machine-actionable DMPs will make it easier to manage your data
Parts of the DMP will be automatically generated and shared, thereby
alleviating administrative burdens and improving the quality of information

14. What do we want machine-actionable DMPs to do?

15. NSF EAGER grant: Machine-actionable DMP pilots
From Flickr by Allen, CC BY 2.0

16. Graph database
Project
Person
Award
Organization
Identifier
Two projects/awards and PIs affiliated with Duke Dave Garrison hairball

17. Common Standards & Persistent Identifiers
1. Research Data Alliance DMP Common
Standards working group:
recommendations due April 2019
2. DataCite DOIs for DMPs
3. PID Graph: ORCID iDs, Crossref
Funder IDs, ROR/OrgIDs, RRIDs, etc.
From Flickr by Amber Case CC BY-NC 2.0

18. Summary
Think of DMPs as key elements of a
networked data management ecosystem:
● connected via a shared vocabulary
● actionable by humans and software
● versioned
● public
From Flickr by highwaysengland, CC BY 2.0

19. dmptool.org
activedmps.org
@TheDMPTool
@ActiveDMPs
blog.dmptool.org
CDLUC3/dmptool
DMPRoadmap/roadmap
Website
Twitter
Blog
GitHub
“Ten Simple Rules for Machine-Actionable Data Management Plans”
2018 (preprint) T. Miksa, S. Simms, D. Mietchen, S. Jones
http://doi.org/10.5281/zenodo.1434938