"Monday Feb 29th 3.00pm - 5.00pm University Club, Ballroom A, 123 University Pl, Pittsburgh, PA 15260 "Big Data, Open Data, and Scholarship" by Christine L. Borgman Distinguished Professor & Presidential Chair in Information Studies University of California, Los Angeles Scholars gathered data long before the emergence of books, journals, libraries, publishers, or the Internet. Until recently, data were considered part of the process of scholarship, essential but largely invisible. In the “big data” era, the products of these research processes have become valuable objects in themselves to be captured, shared, reused, and sustained for the long term. Data also has become contentious intellectual property to be protected, whether for proprietary, confidentiality, competition, or other reasons. Public policy leans toward open access to research data, but rarely with the public investment necessary to sustain access. Enthusiasm for big data is obscuring the complexity and diversity of data in scholarship and the challenges for stewardship. Data practices are local, varying from field to field, individual to individual, and country to country. This talk will explore the stakes and stakeholders in research data and implications for policy and practice. Join us Feb. 29, 2016 at 3pm at the University of Pittsburgh’s University Club (Ballroom A). This event is free to attend and no RSVP is required. A reception will follow."
Issues and developments related to IP, AI, and OM, examined in the IP and tech ethics graduate courses I teach at the University of Pittsburgh School of Computing and Information. My Bloomsbury book "Ethics, Information, and Technology", coming in Summer 2025, includes major chapters on IP, AI, OM, and other emerging technologies (IoT, drones, robots, autonomous vehicles, VR/AR). Kip Currier, PhD, JD
Wednesday, February 24, 2016
Sara Fine Institute presents: Christine Borgman, "Big Data, Open Data, and Scholarship": Mon Feb 29th 3.00pm - 5.00pm, University of Pittsburgh
Sara Fine Institute presents: Christine Borgman, "Big Data, Open Data, and Scholarship" :
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment