A Gentle Introduction to Open Data

Presentation given at the UW-Madison Open Meetup. September 2015.

Transcript

1. a gentle introduction to ! Brianna Marshall | @notsosternlib | UW Libraries Image courtesy of Flickr user Descrier (descrier.co.uk)
2. Image courtesy of Flickr user notbrucelee (CC BY) good stuff… but not what I’m talking about today.      
3. what is research data?! “the recorded factual information commonly accepted in the scientific community as necessary to validate research findings.” INCLUDES: code, figures, statistics, interviews, transcripts EXCLUDES: preliminary analyses, drafts of papers, plans for further research, communication + peer reviews, physical samples -  OMB Circular, White House
4. what is open data?! “Open means anyone can freely access, use, modify, and share for any purpose (subject, at most, to requirements that preserve provenance and openness).” -The Open Definition (http://opendefinition.org/) CAVEAT: Some data isn’t meant to be shared openly (human subjects, national security, etc.)
5. why you should care! Data and code are the building blocks of scholarship! •  Not copyrightable •  Often the result of public funding •  Reproducible research is key •  Prompts quicker breakthroughs and advancements •  There’s a proven citation advantage* *Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175 https://dx.doi.org/10.7717/peerj.175
6. barriers to ! open data!
7. Image courtesy of Flickr user frankieleon (CC BY) fear of getting scooped!
8. mistakes/misinterpretation ! of data ! Image courtesy of Flickr user theihno (CC BY)
9. no real academic! Image courtesy of Flickr user caseorganic (CC BY NC) (yet)!
10. transition to new ways! of sharing data ! Image courtesy of Flickr user frankieleon (CC BY)
11. sharing + publication!
12. [ http://elifesciences.org/content/4/e09560 ]
13. - Denne Reed, Homo Naledi team [ http://www.nature.com/news/crowdsourcing-digs-up-an-early-human-species-1.18305 ] “We’re more interested in openly sharing data… the advantages in collaboration far outweigh any of the risks.”!
14. ready to ! learn more?!
15. my top open data resources! •  Retraction Watch •  Open Research Glossary •  OpenCon •  Open Research Course (P2PU) •  Open Data Pinboard (Dorothea Salo) •  Twitter –  #opendata –  #openscience –  #openresearch –  #reproducibilityproject
19. [ retraction watch.com ]
20. open research glossary! [ http://figshare.com/articles/Open_Research_Glossary/1482094 ]
21. Image used courtesy of the OER Research Hub P2PU school of open! [ https://courses.p2pu.org/en/courses/3230/open-research-2015/ ]
22. opencon resources! [ http://www.opencon2015.org/resources ]
23. open data pinboard! [ https://pinboard.in/u:dsalo/t:opendata/ ]
24. + the magic of twitter! [ twitter.com/t_s_institute ]
25. open data scenario! You meet a PhD student who expresses interest in making her data open. What are three pieces of advice (or resources) you could share with her? Image used courtesy of the UW Photo Library (http://photos.uc.wisc.edu/photos/19871/view)
26. (open) data questions?! Brianna Marshall brianna.marshall@wisc.edu Research Data Services researchdata.wisc.edu @UWMadRschSvcs