Open Access

BRANDON BUTLER
Executive Director, Re:Create

Brandon Butler is Executive Director of Re:Create, which supports a pro-innovation, pro-creator, pro-consumer copyright framework. A copyright lawyer and expert on the lawful use of archival materials, Brandon previously served as Director of Intellectual Property and Licensing at the University of Virginia Library.

Brandon graduated from the University of Virginia School of Law and was an associate at Dow Lohnes LLP (later merged with Cooley LLP), in Washington, D.C. Brandon is the Law and Policy Advisor to the Software Preservation Network, and is an Advisor to the American Law Institute’s Restatement of the Law, Copyright. He is on the editorial board of the Journal of Copyright in Education and Libraries and is the author of a variety of journal articles and book chapters about copyright and fair use. In college, Brandon was the local music reporter for Athens, GA alt-weekly The Flagpole, and he took a semester off to tour the country as a substitute guitarist in his friends’ punk band, Whippersnapper.

JH LIBRARIES AND JHURA PRESENT ...

Open Access and Copyright: A Conversation

Tuesday, October 22nd (2:00 PM - 3:00 PM)

Join us for a moderated conversation with fair use expert Brandon Butler about copyright in open access, AI, software, and more.

You can submit a question online using this form or join us to ask a question in person!

Registration is required.

Welch Class - ORCID and SciENcv (12:00 PM - 1:00 PM)

ORCID iDs are free, unique researcher identifiers that can be connected to systems like SciENcv, the profile system for research investments from federal agencies. ORCID iD users can automate the process of gathering accurate information about their own funding, publications, and more, all in one place. ORCID iD users set permissions for how funders, publishers and other parties read and write into their ORCID record. Many federal agencies, particularly the NIH and NSF, require applicants to connect their ORCID iD to their SciENcv biosketch materials.  

In this class you will: 

• Set up your unique ORCID iD using the Johns Hopkins ORCID Registry.
• Connect your iD with systems that populate your record, such as Crossref.
• Connect your iD with SciENcv to create biosketches for federal agencies.

Registration is required.

RACHAEL SAMBERG
Scholarly Communications & Information Policy Director, 
UC Berkeley

Rachael G. Samberg is an attorney and the Program Director of UC Berkeley’s Scholarly Communication & Information Policy office. A Duke Law graduate, Rachael practiced intellectual property litigation at Fenwick & West LLP for seven years before spending six years at Stanford Law School’s library, where she was Head of Reference & Instructional Services and a Lecturer in Law. Rachael speaks throughout the country about scholarly communication, copyright, licensing, privacy, and ethics. She has been project director for multiple NEH-funded grants to develop and teach scholars legal literacies for text and data mining in U.S. and cross-border research contexts, and is widely published on these matters. Currently, she is supporting regulatory analysis of Digital Millennium Copyright Act exemptions to break digital rights management within text and data mining research.

JH LIBRARIES AND JHURA PRESENT ...

Publishing and Licensing Choices that Support Research in an AI World

Wednesday, October 23rd (2:00 PM - 3:00 PM)

Are you nervous about understanding copyright issues when using new AI tools in your research? Join us with guest expert Rachel Samberg who will address the dual role scholarly authors have in contemplating the use of AI in research: they are both users of other people’s content, and creators of new content themselves. How do their publishing choices (e.g. subscription-based vs. open access; retaining copyright vs. transferring to publisher) and licensing choices (e.g. no license applied vs. Creative Commons licensing) affect the way that their works can be used in other scholars’ AI-dependent research, and the way that they can use other people’s works in their own AI-dependent research? Is there a one-size-fits-all solution for handling copyright and licensing? What publishing and licensing models—and importantly, what kind of federal statutes and regulations—are advisable to support academic research in an AI world?

Registration is required.