FSCI 2021

FSCI courses are now closed. Course attendees must go to the course OSF page do see course materials and Zoom links.

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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