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Research Data Management + Sharing
About me
Chealsye Bowley
Scholarly Communication Librarian
- Education + training
- Copyright consultations
- Finding an OA journal
- Data management plans
Contact: cbowley@twu.edu
Office: Library 308A
Goals
You’ll learn something
useful + put it into practice
Be inspired to share
your research data
You’ll tell me what topics you’d
like for future workshops!
+
+
What is research data?
● Raw data generated from instruments
● Statistics
● Figures
● Code
● Interviews
● Transcripts
CC-BY flickr user hello-sebastian
The data can’t
be found…
…or is gone.
Organize
CC-BY flickr user oskay
Organize
● Create a system
● Work with collaborators
● Use file version control!
EXAMPLE
Don’t: DocumentsResearchSample1.jpg
Do: C:NSFGrant123LakeTravisBiodiversityImagesTravis_20160412.tiff
File Naming
● Name meaningfully!
● Consistent
● Descriptive
● Short
EXAMPLE
Don’t: File12935.xls
Do: Project_instrument_location_YYYYMMDD.csv
Use open file formats
CC-BY flickr user velkr0
Use open file formats
● Choose open formats
○ .txt over .docx
○ .csv over .xslx
○ .tif over .jpg
Some file formats are less likely to become obsolete.
Open formats have a history of wide adoption
+ backward compatibility.
Document
CC-BY flickr user slightyleverything
Document
● Project and folder levels
○ Create a readme file
■ Names and contact information for project researchers
■ List of files, description
■ Copyright and licensing information
■ Funding sources
● Document any data processing and analyses
● Include your written notes
○ Notebook as data hard copy
○ Transcribe or scan your written notes
● Use descriptive names!
CC-BY flickr user jakerust
Storage ≠ Backup
Storage = working files
Files you access regularly. Losing storage means losing
current versions of your data.
Backup = the regular process of copying data
You don’t need it until you lose data, but it can save your
research project.
Keep three copies of your data
● Two copies onsite
● One copy offsite
EXAMPLE
1: Laptop
2: External hard drive
3: Cloud storage
Rule
of 3
CC-BY flickr user s_w_ellis
Evaluate storage options
“There is no cloud” sticker by Chris Watterson, available at StickerMule
Make a plan
CC-BY flickr user gsfc
Research Data Management Plan
● Draft a plan
○ DMPTool: dmptool.org
● Outline
○ Where data will live, organization, and naming
○ Roles and responsibilities
○ Storage/dissemination
● Required by some funders
● Stronger DMP = stronger research
CC-BY flickr user cogdog
Increase your visibility
CC-BY John R. McKiernan, whyopenresearch.org
Concern: Scooping
Get credit for
all your research.
Publish your data
● Data is not copyrightable
○ Best practice: Creative Commons 0 license
● Data journals
● Data repositories
○ Institutions
○ Disciplinary repositories
■ Find a disciplinary repository at re3data.org
○ figshare
There’s even a proven citation advantage.
Piwowar HA, Vision TG. (2013) Data reuse and the open data citation
advantage. PeerJ 1:e175 https://dx.doi.org/10/7717/peerj.175
Jumping for joy over
data citations!*
*Actually, no corresponding data to
confirm that’s why she is jumping...
CC-BY flickr user Liz Mc
How can I support you?
● Consultations
● Help with drafting a data management plan
● Discuss publication options
○ Open Access journals, author’s rights
● Discuss if/when to make your data open
● Refer data repositories
Questions?
CC-BY flickr user Scott McCleod
Further Info
Library Guide: libguides.twu.edu/rdm
Got further questions?
Get in touch!
cbowley@twu.edu | @chealsye
Slides heavily inspired by Brianna Marshall
CC-BY “Research Data Management and Sharing” bit.ly/1qjXlT1

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4.18.24 Movement Legacies, Reflection, and Review.pptx
 

Research Data Management and Sharing

  • 1. CC-BY flickr user IPRI Photos Research Data Management + Sharing
  • 2. About me Chealsye Bowley Scholarly Communication Librarian - Education + training - Copyright consultations - Finding an OA journal - Data management plans Contact: cbowley@twu.edu Office: Library 308A
  • 3. Goals You’ll learn something useful + put it into practice Be inspired to share your research data You’ll tell me what topics you’d like for future workshops! + +
  • 4. What is research data? ● Raw data generated from instruments ● Statistics ● Figures ● Code ● Interviews ● Transcripts
  • 5. CC-BY flickr user hello-sebastian
  • 9. Organize ● Create a system ● Work with collaborators ● Use file version control! EXAMPLE Don’t: DocumentsResearchSample1.jpg Do: C:NSFGrant123LakeTravisBiodiversityImagesTravis_20160412.tiff
  • 10. File Naming ● Name meaningfully! ● Consistent ● Descriptive ● Short EXAMPLE Don’t: File12935.xls Do: Project_instrument_location_YYYYMMDD.csv
  • 11. Use open file formats CC-BY flickr user velkr0
  • 12. Use open file formats ● Choose open formats ○ .txt over .docx ○ .csv over .xslx ○ .tif over .jpg Some file formats are less likely to become obsolete. Open formats have a history of wide adoption + backward compatibility.
  • 13. Document CC-BY flickr user slightyleverything
  • 14. Document ● Project and folder levels ○ Create a readme file ■ Names and contact information for project researchers ■ List of files, description ■ Copyright and licensing information ■ Funding sources ● Document any data processing and analyses ● Include your written notes ○ Notebook as data hard copy ○ Transcribe or scan your written notes ● Use descriptive names!
  • 15. CC-BY flickr user jakerust
  • 16. Storage ≠ Backup Storage = working files Files you access regularly. Losing storage means losing current versions of your data. Backup = the regular process of copying data You don’t need it until you lose data, but it can save your research project.
  • 17. Keep three copies of your data ● Two copies onsite ● One copy offsite EXAMPLE 1: Laptop 2: External hard drive 3: Cloud storage Rule of 3
  • 18. CC-BY flickr user s_w_ellis Evaluate storage options
  • 19. “There is no cloud” sticker by Chris Watterson, available at StickerMule
  • 20. Make a plan CC-BY flickr user gsfc
  • 21. Research Data Management Plan ● Draft a plan ○ DMPTool: dmptool.org ● Outline ○ Where data will live, organization, and naming ○ Roles and responsibilities ○ Storage/dissemination ● Required by some funders ● Stronger DMP = stronger research
  • 23. Increase your visibility CC-BY John R. McKiernan, whyopenresearch.org
  • 25. Get credit for all your research.
  • 26. Publish your data ● Data is not copyrightable ○ Best practice: Creative Commons 0 license ● Data journals ● Data repositories ○ Institutions ○ Disciplinary repositories ■ Find a disciplinary repository at re3data.org ○ figshare
  • 27.
  • 28. There’s even a proven citation advantage. Piwowar HA, Vision TG. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175 https://dx.doi.org/10/7717/peerj.175 Jumping for joy over data citations!* *Actually, no corresponding data to confirm that’s why she is jumping... CC-BY flickr user Liz Mc
  • 29. How can I support you? ● Consultations ● Help with drafting a data management plan ● Discuss publication options ○ Open Access journals, author’s rights ● Discuss if/when to make your data open ● Refer data repositories
  • 31. Further Info Library Guide: libguides.twu.edu/rdm Got further questions? Get in touch! cbowley@twu.edu | @chealsye Slides heavily inspired by Brianna Marshall CC-BY “Research Data Management and Sharing” bit.ly/1qjXlT1