Digital Collaboration in Science Requires New Approaches to Handling Data and Identity
Time 04/26/17 03:00PM-04:00PM
Room Mount Vernon A
Best practices, regulation, and the nature of Big Data require that science data sharing platforms incorporate information about data origin and ownership. However, little attention has been granted to the real and large problems of identity, ownership, and provenance, especially in international biomedical research.
The traditional IT approach of building "science DMZs" and networked systems that support higher data throughput and greater computing performance can no longer realistically keep up with trends in data growth. Innovative international research may have multiple regulatory barriers to the transfer of data across national boundaries. These realities drive the paradigm shift of relocating the compute tools with the data, which also facilitates transnational collaborations in human biomedical research.
Collaborative platforms that integrate institutional identity as well as individual identity will have more complete compliance with guidelines for human subject research. Using institutional identities for researchers who provide and use data sharing platforms for collaboration also builds trust in those platforms. Trust federations like InCommon and federations-of-federations like eduGAIN provide a framework for institutional and individual identity that can promote researcher's trust in data and computational tool sharing. This presentation reviews the integration of identity federations into the data sharing and computational bioscience environment for international research at the National Institute of Allergy and Infectious Diseases (NIAID).
Speaker Michael Tartakovsky National Institutes of Health/National Institutes of Allergy and Infectious Diseases
Primary track Trust and Identity
Secondary tracks Research and Education