1. Research Data Management
Jeff Moon
Data Librarian &
Academic Director, Queen’s Research Data Centre

2. Ethics Research Data Management

3. Research Data Management
Data management: encompasses the entire data life cycle, including data collection, organization, storage, retrieval, and preservation over time.

4. The Data Life Cycle
Source:

5. What is ‘Research Data”?
Numeric
Video
Images
Sound
Text
& more…
That which is collected, observed, or created in a digital form, for purposes of analysing to produce original research results.

6. Why manage & share your data?
• Promotes higher quality research and peer review
• Opens the door to further research
• Demonstrates effective stewardship of publicly- funded data
• Ensures long-term preservation of and access to data
• Builds in procedures to ensure anonymity/privacy

7. Other factors to consider…
Some scientific publications require that data be available for the scientific community before the article is published
A growing number of funding agencies require that data be deposited in a public archive

8. Funding Agency Policies
The three funding agencies have “a fundamental interest in ensuring that the results of publicly-funded research are broadly disseminated, enabling other researchers as well as policy-makers, private sector, not-for-profit organizations, and the public to use and build on this knowledge”

9. And, for example, current CIHR policy requires data preservation
“Grantees must deposit bioinformatics, atomic and molecular coordinate data into the appropriate public database immediately upon publication of research results (e.g., deposition of nucleic acid sequences into GenBank). Refer to the Annex of this policy for examples of research outputs and the corresponding publicly accessible repository or database.
Data retention, as already required by the majority of institutions, is mandated by CIHR. Grantees must retain original data sets arising from CIHR-funded research for a minimum of five years after the end of the grant. This applies to all data, whether published or not. The grantee's institution and Research Ethics Board may have additional policies and practices regarding the preservation, retention and protection of research data that must be respected.”
Part of the ‘Open Government’ initiative of the government of Canada

10. Other factors to consider…
Some scientific publications require that data be available for the scientific community before the article is published
A growing number of funding agencies require that data be deposited in a public archive
Future researchers can go to the ‘archive’ for your data… rather than trying to find you

11. Queen’s University Library Research Data Management Service
Don’t underestimate the benefits of making your data ‘discoverable’…

12. Before RDM: Have you experienced this? Researcher-to-researcher
Could you please send me your data?
Could you please send me your data?
Researcher-to-researcher
Could you please send me your data?
Could you please send me your data?
Could you please send me your data?
Researcher
Could you please send me your data?
Could you please send me your data?
Could you please send me your data?

13. After RDM: link to archive! Researcher-to-Archive
License to share data

14. DOI Accessing Research Data: After RDM Researcher-to-Archive DOI
Digital Object Identifier
… a web link

15. There are many resources related to research data management
OK, but where do I turn?
There are many resources related to
research data management
Queen’s University Library has pulled selected resources together into a guide…

16. Research Data Management

17. Topics covered… Overview Writing a Data Management Plan
Funding Agency Guidelines
Metadata
Data Repositories & Archives
Citing Data
Best Practices in Data Management
Library as Data Partner
QUL Research Data Archive

18. Data Management Workflow

19. The Library as Data Partner
Citing Data
QUL Research Data Archive
Data Repositories & Archives
Writing a Data Management Plan
Funding Agency Guidelines
Metadata
Best Practices in Data Management

20. Queen’s University Library Research Data Management Service
We can help you with:
Planning for data management
data management plans & grant applications

21. Queen’s University Library
Data Management Plans
Data Description – nature, scope, scale
Responsibility – shared PI and RDM service
Designated Archive – finding an appropriate archive
Access & Sharing – Public? Restricted? Embargoed?
Selection & Retention – collection development decisions
Metadata – standards-compliant description of the data
Intellectual Property Rights – PI’s and institutions hold Copyright
Ethics & Privacy – Informed consent & disclosure risk
Format – promote recommended formats – ‘platform-agnostic’
Archiving & Preservation – forward migration of data
Storage & Backup – multiple copies in distributed locations
Credit:
Derived from ICPSR Sample Data Management Plan:

22. Queen’s University Library Research Data Management Service
We can help you with:
Planning for data management
data management plans & grant applications
Preparing your data
coding, formatting, anonymizing, and more
Documenting your data
describing your data so others can understand and use it
Archiving your data
finding an appropriate repository or archive
Making your data discoverable
promoting open access, indexing, assigning DOI’s

23. Examples of archived data
 QUL Research Data Archive

24. Examples of archived data
 QUL Research Data Archive

25. Examples of archived data
 QUL Research Data Archive

26. Examples of archived data
 QUL Research Data Archive

27. Archives/Repositories
Queen’s Institutional Repository
(DSpace software)
Scholars Portal Data Archiving Tool (Harvard Dataverse software)
Scholars Portal Data Discovery/Exploration Portal
(Nesstar software)
Or other discipline-based repository…

28. Discipline-specific Data Repositories
Beyond Queen’s –
Discipline-specific Data Repositories
Full list at NIH

29. Discipline-specific Data Repositories
Beyond Queen’s –
Discipline-specific Data Repositories
Full list at CIHR

30. PORTAGE National research data management (RDM) network
Canada-wide Initiatives
National research data management (RDM) network
collaboration _______________
PORTAGE
National collaboration between the Canadian Association of Research Libraries (CARL) and Compute Canada. Two major goals:
To create centres of RDM excellence across the country
To develop and support a national network of data management, leveraging repositories across the country and around the world.
National collaboration with CARL and Compute Canada. Two major goals: 1. To create centres of excellence across the country that can be leaders in education research community on RDM. And 2. develop and support a national network of data management, leveraging repositories across the country and around the world.

31. Recap: Benefits of Research Data Management:
ensure long-term preservation of data for future researchers
meet grant requirements and/or produce a more competitive grant application
increase the impact and visibility of your research
encourage discovery and use of existing data to explore new research questions
make sure your data are accurate, complete, authentic, and reliable, and reusable
ensure compliance with ethics and privacy policies

32. If you have, or will be collecting data,
CONTACT US.
We can help you develop and implement your data management plan.

33. Contact information
Jeff Moon –
Data Librarian &
Academic Director, Queen’s Research Data Centre
Ext
Francine Berish–
Geospatial Data Librarian
Ext
Alex Cooper –
Data and Web Support Assistant
Ext