DataCite Day 1

  • 12:00pm-1:00pm Lunch

  • 1:15pm-2:00pm Keynote Address: John Wilbanks, Vice President for Science, Creative Commons. Citation in the Commons. (Slides)

Find -> access -> understand -> be influenced -> cite.

Lesson of the Library of Babel, Early Web (Greenspun, 1995) Simple and weak is best – scalable.  (Rule of least power).

2:00pm-3:30pm Session 1: Exposing Dataset DOIs and Citations

  • Heather Piwowar, DataONE Postdoctoral Researcher, NESCent and Dryad. Tracking Data Reuse: Motivations, Methods, and Obstacles. Slides

Highlights 3 challenges: (1) Lack the tools – can’t search by DOI.  (2) Can’t Scale.  (3) Can’t get credit

Total Impact Citations tool: https://total-impact.org

Heather’s research notebook: https://notebooks.dataone.org/piwowar/

  • Hailey Mooney, Data Services and Reference Librarian, Michigan State University Libraries. Building Data Citations for Discovery.

  • Elizabeth Moss, Librarian, ICPSR, University of Michigan. Cite the Data! ICPSR’s Efforts to Improve Practice.

4:00pm-5:30pm Session 2: Beyond Citing Data: Trends and Practices

  1. John Kunze, Associate Director, University of California Curation Center, California Digital Library. Baby Steps Towards Data Publication.

  2. Jason Priem, Graduate Student, School of Information and Library Science, University of North Carolina. Toward a Second Revolution: Data Citation, Altmetrics, and the Decoupled Journal.  Slides

  3. Joel Hammond, Director, Product Management & Development IP & Science Thomson Reuters. Exposing Dataset DOIs and Citations.

5:30pm-6:15pm Session 3: Pecha Kucha - Rapid Fire Talks From DataCite Partners

6:30pm-9:00pm Reception

Select from my twitter-log

cboettig on the @GigaScience tweetnome https://t.co/YMfZiW3 rapid publication of e.coli outbreak genome #datacite

 @chrismentzel #datacite can penetrate the science community when it makes a difference in the scale/quality of the science we do(?)

cboettig “What would scholarly comm look like if it were built from scratch today?” Priem’s ans: Doesn’t matter, can’t do that #datacite

TAC_NISO #datacite @jasonpriem Journals are the best we can do with 17th century technology. We can do better

cboettig RT @jasonpriem: Slides up #datacite, “Toward a second revolution: Data citation, altmetrics, and the decoupled journal” https://t.co/p16Y735

cboettig .@jasonpriem summarizes citation practices #datacite asks what about diff types of use? person? resource?

cboettig Sylvia from NSF speaks on citation of data in biosketches, etc. Suggests NSF needs instructions to PIs for reference proposals #datacite

cboettig RT @mrgunn: #Mendeley is working on adding dataset as a type as well #datacite

cboettig Evidence that younger researchers are more protective of their data than established ones. Published in https://t.co/FMr6Df7 #datacite

mrgunn https://t.co/jbblmj7 , a tool from @researchremix and @jasonpriem being shown at #datacite

cboettig See @researchremix notebook on tracking 1000 data sets https://t.co/CRrceXI #datacite

cboettig .@researchremix shows evidence that data deposition is a good investment in Nature piece:https://t.co/jlpkXoW #datacite

cboettig .@wilbanks Academia is not providing a data firehose, so everyone is mining facebook & twitter instead #makeAPIsnotWebsites #datacite

cboettig @wilbanks discusses creating a data-journal, Open Network Biology. https://t.co/codi2Lv and challenges of reviewing such articles #datacite

cboettig .@wilbanks calls for data solutions that follow the Rule of Least Power: https://t.co/uKj52Ql #datacite

cboettig Need evolving system - @wilbanks cites this early attack on HTML and the resulting beautiful fix in css:https://t.co/h96f17Y

References