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Tuesday, July 27 • 8:00am - 9:00am
T11- FAIR for Data and Texts Not in the Open: Overcoming Legal, Technological, and Economic Barriers

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The rise of applied data science, digital humanities, machine learning, and artificial intelligence has resulted in an increased need for computational access and reuse of research data and publications. Researchers have begun to build FAIR (findable, accessible, interoperable, and reusable) and open data practices for data they are generating; however, much computational research requires access to existing structured and well-curated texts and data from proprietary sources that don’t currently meet the FAIR standard. To accomplish this, many researchers are partnering with libraries, which frequently have long-term subscription access to such resources, to gain computational access and rights to reuse for text and data mining (TDM) and machine learning purposes.

Negotiating for such access and rights poses technical, economic, and legal challenges. In some cases, researchers have to negotiate access and reuse at the individual research group or project level. In this course, we will interactively explore these issues through case studies from real-life examples and share resources and tips that will help researchers, librarians, and vendors to “move the needle” toward FAIR data. The joint effort of researchers, librarians, and vendors will be required to sustainably ensure that resources move towards FAIR standards, and that researchers can share their own research output FAIRly.

Class activities include:
  • Small-group critique of license terms for computational access and reuse of publications and databases.
  • Mock negotiation between researchers/librarians and vendors.
  • Hands-on practice accessing a database through publicly available API services (e.g., Crossref, PubChem) and comparison with other computational access models.
  • Group discussion of cutting-edge questions on computational access and reuse. 

LIVE ZOOM SESSION SCHEDULE (All times Pacific)
Tuesday, July. 27
8-9AM: First session
4-5PM: REPEAT First session
Thursday, July. 29
8-9AM: Second session
4-5PM: REPEAT Second session
Tuesday, Aug. 3
8-9AM: Third session
4-5PM: REPEAT Third session

Speaker/Instructors
avatar for Ye Li

Ye Li

Chemistry and Chemical Engineering Librarian, Massachusetts Institute of Technology
LH

Laura Hanscom

Head of Scholarly Communications and Collections S, MIT Libraries
KZ

Katie Zimmerman

Director, Copyright Strategy, MIT Libraries
Katie Zimmerman is the Director of Copyright Strategy at the MIT Libraries and a licensed attorney in Massachusetts. She focuses on copyright and licensing issues for libraries and universities.


Tuesday July 27, 2021 8:00am - 9:00am PDT
T11 Classroom