Managing scientific data for long-term access and use

Abstract

Preservation of data for long-term use will require data management strategies that include curation and preservation planning and implementation. While data management and curatorial activities have been an integral part of some scientific domains for years (see for example, high energy particle physics), these are new concepts in other areas of science. Concepts such as provenance, representation for re-use, and work-flow capture are rarely understood, let alone addressed. By bringing together theories and best practices from archives, museum studies, and library and information science (LIS), it is possible to address these problems. on current research into scientific data management problems, this panel will consider questions about sharing and re-use of data, curation and preservation, and the intersection of scientific production and scholarly communication. Our research explores information work and problems across a range of scientific areas in the life and physical sciences, including genomics, neuroscience, ecology, and earth science. As more scientific work products are shifted to open or shared data collections (including archives, repositories and databases), we will need to understand how these systems are implemented and used to support collaboration and discovery, as well as scholarly and scientific communication.