G. Sayeed Choudhury is the Associate Dean for Research Data Management and Hodson Director of the Digital Research and Curation Center at the Sheridan Libraries of Johns Hopkins University. He is also the Director of Operations for the Institute of Data Intensive Engineering and Science (IDIES) based at Johns Hopkins. He is a Senior Presidential Fellow with the Council on Library and Information Resources and a member of the ICPSR Council, DuraSpace Board, the Digital Library Federation advisory committee and Library of Congress' National Digital Stewardship Alliance Coordinating Committee. He has been a Lecturer in the Department of Computer Science at Johns Hopkins and a Research Fellow at the Graduate School of Library and Information Science at the University of Illinois at Urbana-Champaign.
Choudhury has served as principal investigator for projects funded through the National Science Foundation, Institute of Museum and Library Services, the Andrew W. Mellon Foundation and Microsoft Research. He is the Principal Investigator for the Data Conservancy, one of the awards through NSF's DataNet program. He has oversight for the digital library activities and services provided by the Sheridan Libraries at Johns Hopkins University. Choudhury has published articles in journals such as the International Journal of Digital Curation, D-Lib, the Journal of Digital Information, First Monday, and Library Trends. He has served on committees for the Digital Curation Conference, Open Repositories, Joint Conference on Digital Libraries, and Web-Wise. He has presented at various conferences including Educause, CNI, DLF, ALA, ACRL, and international venues including IFLA, the Kanazawa Information Technology Roundtable, eResearch Australasia and the North America-China Conference.
Associate Dean for Research Data Management, Johns Hopkins University
Hodson Director, Digital Research and Curation Center, Alumni, Johns Hopkins University
As our community considers open access to data, it is essential that we rigorously define what we mean by terms such as storage, archiving, preservation and curation. These terms are often used interchangeably even though they refer to different facets of data management. The Data Conservancy has embraced a stack model of data management layers that highlights the differences of storage, archiving, preservation and curation. This presentation will describe this stack model of data management layers with a goal of engaging the audience in a lively debate.