1 Why is Digital Curation Important for Workforce and Economic Development? Alan Blatecky Office of Cyberinfrastructure Symposium on Digital Curation in the Era of Big Data; Career Opportunities and Education Requirements NRC July 19,

Framing the Challenge: Science and Society Transformed by Data  Modern science  Data- and compute- intensive  Integrative, multiscale  Multi-disciplinary Collaborations for Complexity  Individuals, groups, teams, communities  Sea of Data  Age of Observation  Distributed, central repositories, sensor- driven, diverse, etc 2

Data as a transforming agent  Enormous amounts of data are being generated by modern experiments, sensors, observations and social networks  New analysis tools including automatic extraction of new knowledge continues to accelerate  Infusion of data-intensive computation into science, engineering and education is revolutionizing research  Research in science and education is an essential pathway to prosperity and competitiveness and thrives in an environment of shared data

Scientific Data Challenges 4 Bytes per day Genomics LHC TeraGrid, Blue Waters Square Kilometer Array Genomics LHC Climate, Environment LSST Exa Bytes Peta Bytes Tera Bytes Giga Bytes Climate, Environment Volume/Growth Useful Lifetime Distribution Data Access Many smaller datasets…

NSF Data strategy  Establish a national data infrastructure to support science, engineering and education  Ensure that this infrastructure stays at the most advanced state of sophistication and is sustainable  Expand the development of the next generation of compute and data intensive workforce  Develop of a suite of policies to support the full data life cycle (data access, curation, object identifiers, etc) 5

Data Web Forum  Linking top-down governance model with bottom-up IETF model to catalyze this community-based activity  Top-down focus on policy, permission...  Bottom-up focus on operations, services...  Timeliness an important factor  Ability to respond quickly essential The DWF will facilitate the exchange and interoperability of data across disciplines and national boundaries by producing high quality, relevant technical documents that influence the way people store, use, and manage data

 Balanced representation of stakeholder communities  Community-based; not a government organization, a regulatory body or a commercial organization  Products are free and open source  Meetings are public, progress through consensus and practice  Focus on harmonization across standards, policies, technologies, tools, and other data infrastructure elements DWF Principles

Proposed Timeline: 2012  Initial Government Agency funding in process  Awards to Non Government Organizations in Aug/Sep  Teams flesh out organization and structure – Sep/Dec  Initial working groups identified and charged – Sep/Dec  groups already sharing data across global boundaries  Identify candidates for early deliverables, best practices  Secure time-commitments to undertake proposed activities