SEAD

1. SEAD Sustainable Environment – Actionable Data CNI Fall Members Meeting Arlington, VA 12/12/2011 Robert H. McDonald SEAD Sr. Personnel Assoc. Dean/Associate Director Indiana University Margaret Hedstrom SEAD PI/Project Director Professor & Associate Dean UM School of Information

2. NSF DataNet Program • new types of organizations that integrate library & archival sciences, cyberinfrastructure, computer & information sciences, & domain science expertise • provide reliable digital preservation, access, integration, and analysis capabilities for science and/or engineering data over a decades-long timeline; • continuously anticipate and adapt to changes in technologies and in user needs and expectations; • engage in research to drive the leading edge forward • serve as component elements of an interoperable data preservation and access network http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503141

3. Partners • SEAD’s Unique Contributions • Address domain-driven needs & requirements • Serve scientists and researchers in the “long tail” • Integrate existing technologies, tools & services (rather than build new from scratch)

4. Sustainability Science

5. Data challenges Heterogeneity of all kinds Multiple scales Multidisciplinary Many small datasets

6. The long tail of scientific research • Small and derived data sets • Heterogeneous data • Multiple sources of data • Short-lived data with long-term value • Value of data grows when combined & integrated

7. SEAD’s Goals • Provide data services that address the needs of researchers working toward sustainability • Integrate these services into an generalizable “Active and Social Curation” infrastructure suited to the social structure and economics of long-tail research communities • Develop capabilities to package and migrate the most valuable datasets to a federated repository infrastructure for long-term preservation • Education, outreach, & training to disseminate SEAD’s contributions to other projects & communities

8. SEAD’s Strategy • Leverage social media for discovery of data, interest, and expertise • Move data curation upstream in the data life cycle • Involve domain scientists in setting priorities for evolution of data and services • Take advantage of existing infrastructures (Institutional Repositories, ICPSR) for long-term preservation

9. Active and Social Curation • Engage researchers during projects, not at the end • Automatically capture metadata as defined by the data producers • Provide facilities for commentary, recommendations, and mark-up of data • Further reduce costs by re-engineering curation processes to leverage this rich metadata and volunteered effort

10. Active Curation Model Workflows Data Active Curation Social Media Metadata Review Rating Commenting

11. SEAD Status SEAD start date: 10/1/2011 In other words, SEAD is not ready to accept your data!

12. SEAD Personnel • Margaret Hedstrom, PI (Michigan) • Praveen Kumar, co-PI (Illinois) • Jim Myers, co-PI (RPI) • Beth Plale, co-PI (Indiana) • Ann Zimmerman, co-PI/Project Manager (Michigan) • George Alter (ICPSR) • Bryan Beecher (ICPSR) • Katy Börner (Indiana) • Robert McDonald (Indiana) • Jude Yew, Post-doc (Michigan) • + many more to come

13. http://sead-data.net

14. 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.

15. SEAD Cyberinfrastructure • An international resource for sustainability science • Novel technical and business approaches to supporting the long-tail of research data • Lifecycle support: actionable data services integrated with curation and preservation infrastructure

16. Key Challenges for SEAD Cyberinfrastructure • Managed Data storage and services are expensive! • Begging for metadata doesn’t work! • Curation and preservation are time consuming! • The long-tail is not standardized! • Data collections are always missing something valuable! • Data models evolve! • Cyberinfrastructure is obsolete by the time you build it! • Building Community as you leverge cyberinfrastructure

17. SEAD: Social Networking • Co-authorship • Co-funding • Micro-citation • Shared project repositories • Shared tags • Threaded discussions • Quoting, forwarding, …

18. Linked Data and Repositories • Tag and annotate data • Overlay it with reference data • Organize it in domain terminology • Link it to people, papers, projects, conversations…

19. Using Science of Science to Link Repositories

20. KEY SEAD Questions • What could SEAD capture when? • How can SEAD provide direct value to data producers, users, and curators? • How can robust web-services and social computing lower barriers and reduce/realign costs?

21. SEAD: Active Content Repository • With the ‘Big Picture’ graph in-hand, curators can: • Focus on what to curate and when, • Automate parts of the process • Use existing/emerging technologies for packaging and preserving datasets • Better manage federated repositories

22. SEAD: Leveraging Existing Resources • Cyberinfrastructure • IU Data Capacitor/HPC Capabilities • UIUC/NCSA HPC Capabilities • Rensselaer CCNI Capabilities • Repositories • UM Deep Blue • IU ScholarWorks • ICPSR Repository • UIUC IDEALS

23. SEAD LayerCake View • Services over an active content layer that is backed by/harvested into a federated archive infrastructure based on institutional resources

24. CI Technical Approach OAIS Repository Federation Active and Social Curation Curation Boundary Automated Curation Workflow/Rule Engine CI Technical Approach Metadata Management Data Acquisition, Analysis and Simulation Scholarly Communication Operates on Metadata, Content Objects and Trigger Events DDI3. METS, PREMIS, MODS, DC, SensorML, OGC, … Ingest scripts: fixity, integrity, authentication, transformation Ingest, AIPs VIVO/ Linked Data Digital Repository Federation (OAIS compliant) Appraisal and Selection Active Content Repository Compound Objects - OAI-ORE Preservation Actions Dissemination Packages Wide-Area File System Search, Browse, Annotation, Visualization Tools Migration and Emulation Tools Use, Reuse, Repurposing Tools Access Mechanisms and E-Scholarship Services Contributor User

25. Toward PetaScale Data • Internet2 upgrade: • Total bandwidth from 100 Gbps to 8.8 Tbps • Moving a petabyte of data will go from from 10 days to 25 hrs

26. SEAD 18 Month Prototype Targets for Cyberinfrastructure • Active and Social Content Curation • Pilot Active Content Repository, VIVO deployments • Exemplar services for Data Ingest, Discovery, Re-use, Curation • CI for Long-term Access • Data model, protocol design/development • Pilot Federated Repository infrastructure

27. SEAD CI QuickView • SEAD will quickly build a repository and data services infrastructure for sustainability research that can be responsively adapted based on community feedback – Community Agile Development • SEAD will leverage existing tools and emerging practices to dramatically enhance the interactions of researchers and data librarians – Active Curation • SEAD’s focus on the long-tail will force an emphasis on ease-of-use and low costs that is critical for long-term sustainability – Leverage Existing Institution Resources for Long-term Access • SEAD will leverage experiences in the sustainability research community to provide guidance for other long-tail communities making the transition to an interdisciplinary, systems-oriented approach to research – Sustainability and Resource Growth Partnership and Collaboration

28. Acknowledgments SEAD is funded by the National Science Foundation under cooperative agreement #OCI0940824 • For more on SEAD go to: • http://sead-data.net • Follow us on Twitter @SEADdatanet http://sead-data.net