E-Science is the new paradigm of science that is characterized as data-driven, highly distributed and collaborative, and computing dependent. This paradigm shift has raised new challenges in a largely-untested territory for librarians and information professionals: eScience is generating more data than scientists can manage and the lagging in data management and curation is hurting science research productivity. Research librarians in many countries have initiated services in support of eScience. One of such services is helping researchers manage and curate their research data. Data management for research in science and social sciences involves policy, technological, social, legal, and administrative issues at various levels (research team, administrative, institutional, national, and international).
This lecture includes a brief overview of eScience and basic concepts such as dataset, data repository, data collections, and data policy, which will be discussed in the context of biomedical and health sciences. A case study will be presented as an example of developing and implementing data services. The participants will also have a chance working in groups to conduct case studies and share their case analysis results.
Jian Qin, Ph. D (firstname.lastname@example.org) is an Associate Professor and director of the CAS eScience program at the School of Information Studies, Syracuse University. The areas of her research interest include knowledge modeling and organization, ontologies, metadata, and scientific communication. She has published over 60 papers and given presentations at numerous national and international conferences. She was the recipient of several research grants from OCLC, ISI, NSF, and IMLS in the U.S. Dr. Qin initiated the Scientific Data Literacy project with funding from U.S. National Science Foundation in 2007, which included developing and implementing a course on scientific data management. She is currently directing an eScience Librarianship Curriculum Development project funded by the Institute for Museum and Library Services (IMLS), which partners with Cornell University Library. She has been invited to give presentations on using scientific metadata to manage data and provide data services. She is the co-author of the book Metadata published in 2008. Dr. Qin teaches several courses related to her research expertise: Metadata, Information Organization, Digital Libraries, Scientific Data Management, and Technologies in Web Content Management. Dr. Qin holds a Ph.D. degree from University of Illinois at Urbana-Champaign and a Master of Science in Library and Information Science from University of Western Ontario.
Sponsored by the Spencer S. Eccles Health Sciences Library.
Funding for this lecture is provided the Priscilla M. Mayden Endowment.