Computational Access and Use of Texts and Data behind Paywalls: Challenges and Resources

Thursday, January 07, 2021 at 3:00pm to 4:30pm

Virtual Event

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, many of which are only available behind paywalls and governed by restrictive terms of use. 

What can you do with proprietary sources, how do you gain access, and how can you make your own research output from such sources shareable are questions that many are asking. 

Join experts Katie ZimmermanLaura Hanscom, and Ye Li from the MIT Libraries in this session to learn about the copyright and contractual implications of paywalled data sources and how you can use them and share your results.

This session is only open to members of the MIT community. Please register for this event with your MIT email as we'll only be able to provide access to the Zoom session to valid MIT email addresses. 

Register here:

This session is part of the 2021 Intellectual Property Speaker Series co-sponsored by the MIT Technology Licensing Office and MIT Libraries. Please check out our other sessions in this series!

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