GETTING THE MOST OUT OF DATANET: A PANEL DISCUSSION OF THE NSF FUNDED DATANET PARTNERSHIPS

Robert H. McDonald – SEAD – Indiana University

Catherine Fitch – TerraPop – Minnesota Population Center

Richard Marciano – Datanet Federation Consortium – University of North Carolina

Sayeed Choudhury – Data Conservancy – Johns Hopkins University

William Michener – DataOne – University of New Mexico

NSF DATANET PROGRAM- OFFICE OF CYBERINFRASTRUCTURE

DATANET ONLINE & TWITTER

Twitter @SEADdatanet @dataconservancy @DateONEorg

Web http://www.sead-data.net http://www.pop.umn.edu http://dataconservancy.org http://www.dataone.org

Tagging #dlfforum #datanet

NSF DATANET PROGRAM

• DataNet efforts effectively balance:• Production infrastructure for operational data

curation services• Research to create next generation data

cyberininfrastructure• DataNet awards are partnerships:• Responsive to user communities to define

their meaningful and useful scope• Form a coordinated network to provide

national, interdisciplinary data models and infrastructure

SEADSustainable Environment – Actionable Datahttp://sead-data.net@SEADdatanet

#OCI0940824

SEAD TEAM

University of Michigan: Margaret Hedstrom (UM PI), Ann Zimmerman (Co-PI and Project Manager), George Alter, Bryan Beecher, Charles Severance, Karen Woollams, Jude Yew. Indiana University: Beth Plale (IU PI), Katy Borner, Robert H. McDonald, Kavitha Chandrasekar, Robert Ping, Stacy Kowalczyk, Robert Light. University of Illinois: Praveen Kumar (UIUC PI), Rob Kooper, Luigi Marini, Terry McLaren. Rensselaer Polytechnic Institute: Jim Myers (RPI PI), Ram Prasanna Govind Krishnan, Lindsay Todd, Adam Wilson.

#OCI0940824

SEAD PARTNERSHIP

Margaret Hedstrom, PIAnn Zimmerman

Beth PlaleKaty BörnerRobert H. McDonald

Praveen Kumar

James Myers

George Alter & Bryan Beecher

7

Sustainability Science

Science

Technology

Economics

Poverty & Justice

Policy

Cooperation

Data challenges• Heterogeneity

of all kinds• Multiple scales• Multidisciplinar

y• Many small

datasets

Provide innovative new models and tools for serving the long tail of scientific research

SEAD’S GOALS

Provide data services that address the pressing needs of researchers working toward sustainability

Integrate these services into an generalizable “Active and Social Curation” infrastructure well-suited to the social structure and economics of long-tail research communities

Develop capabilities to package and migrate datasets to a federated repository infrastructure for long-term preservation

Education, outreach, & training, to maximize value and disseminate SEAD’s contributions to other projects and communities

SEAD’S STRATEGY

Move data curation upstream in the data life cycle• Involve domain scientists in setting

priorities for evolution of data and services

• Use a wide variety of mechanisms to remain resilient in a dynamic research and technology environment

ACTIVE AND SOCIAL CURATION

• Engage researchers during projects, not at the end

• Use information that is automatically captured or generated through tools to reduce the costs of metadata collection and to capture its value in actionable form

• Further reduce costs by re-engineering curation processes to leverage this rich metadata and volunteered effort

ACTIVE CURATION MODEL

Active Curation Social Media

Data

Metadata

WorkflowsReviewRatingCommenting

SEAD LAYERCAKE VIEW

Services over an active content layer that is backed by/harvested into a federated archive infrastructure based on institutional resources

Institutional Repositories

Network of Data Producers

Web User Interface

Active Content Repository

Services Provided

Virtual Archives

User Network

Data Conservancy

IU ICPSR

Content Mining

Curation Decisions

Archival data

generation

Other services

RPI UIUC UM

ACKNOWLEDGMENTS

SEAD is funded by the National Science Foundation under cooperative agreement #OCI0940824