Priscilla Mayden Lecture Workshop

• Home
• Presenters
• Abstract
• Schedule
• Workshop
• Travel
• About
• Credits

Developing Data Services to Support eScience/eResearch

Space is limited, please Register For The Workshop.

Download Workshop Handout

Description:

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.

Course Objectives:

• To gain knowledge of scientific research shifts and requirements for data management
• To understand fundamentals of data management for supporting research
• To gain insights into approaches and methods for how to initiate support services for eScience and how to plan and implement such services

Description/Outline:

• Overview of eScience: what it means and why it matters to research librarians
• Key concepts:
• Datasets: formats and status in research workflows
• Data repositories and collections: inter-relations between data collections at research group level, institutional level, and community level in the biomedical sciences
• Data policies: data access, sharing, curation, and HIPAA
• Practices of data management and curation in support of eScience
• Approaches to eScience initiatives: virtual campus-wide group, new organizational unit, and others
• Services: consulting, self-archiving, outreaching, and others
• Case studies and group discussion and reports
• Wrap-up

Workshop Presenter:

Jian Qin, Ph. D (jqin@syr.edu) 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.

View the Mayden Lecture Schedule for times and locations.

Sponsored by the Spencer S. Eccles Health Sciences Library.

Funding for this lecture is provided the Priscilla M. Mayden Endowment.