1. SEAD: Sustainable Environment through Actionable Data Margaret Hedstrom Professor of Information Faculty Associate Institute for Social Research (ICPSR) PI, SEAD June 23, 2014

2. Overview What is SEAD? Vision and Rationale Target Audience and User Communities Current Status SEAD, Universities, and Libraries Some Lessons Learned (so far) Plans and Future Engagement 2 3. What is SEAD? A Cooperative Agreement funded by NSF to develop sustainable cyberinfrastructure for preservation and access to scientific data ($8 million/5 years) A partnership between the universities of Michigan, Indiana and Illinois An emerging set of services for data management, sharing, curation, discovery and preservation for researchers in the long tail A case study of data needs in sustainability science 3 4. SEAD Vision and Rationale Small teams, researchers with short-term projects, and individual scientists (the long tail) are under served by todays data preservation and access infrastructure These communities will take advantage of evolving data preservation and access infrastructure if: it supports science objectives and enables new kinds of science it is easy to use collaborators and peers are also using it Sustainability science is a good test case 5. Researcher(s) Create and Analyze Data Researchers Publish Results ? Researchers Deposit Data Libraries Acquire Publications Repositories Curate Data Researchers Search for Publications Researchers Integrate, Create New Data Researchers Search for Data Data Preservation and Access Today 6. Researcher(s) Create and Analyze Data Researchers Publish Results ? Researchers Deposit Data Libraries Acquire Publications Repositories Curate Data Researchers Search for Publications Researchers Integrate, Create New Data, and Analyze Data Researchers Search for Data Data Preservation and Access Today 7. Research Question SEARCH for People Publications Data Collaboration Environment Discovery and Access Environments Combine, Integrate, Analyze Preservation Environments SEAD Vision Share Improve Curate Data Upload/Do wnload DataSEAD ACR SEAD Virtual Archive SEAD Social Network 8. Target Audience / User Communities Sustainability Scientists Focused on problems that require data, methods, tools, and expertise from multiple disciplines Requires many different types of data about physical, natural, and social phenomena in order to understand interactions between natural and human systems Uses a combination of observational (field) data, experimental data, simulations, and models Conducts research in small to medium-sized labs or centers under the direction of a single PI or a Center Director. 8 9. Target Audience / User Communities the Long Tail of Scientific Research Data discovery is via targeted foraging and word-of-mouth Almost all data are stored locally Minimal local IT support Metadata standards and ontologies, where they do exist, are based on disciplinary norms or local practices Data formats and metadata standards are often controlled by multiple independent third-parties (e.g. instrument and application providers Data are vulnerable to interruptions in organizational arrangements (graduate students finish PhDs and move on lab or center funding sunsets) No single data set is likely to have great value standing alone, but when aggregated, combined and integrated data become valuable resources of discovery and innovation. 9 10. Overview Project Start 10/01/11 User Requirements Report 5/12 NCED Repository Ingest 8/12 Prototype Review 4/22/13 SEAD 1.0 Released 10/13 DataOne Member Node 11/13 End User Workshop 4/11/14 10th User Group 5/11/14 36-Month Review 10/14/14 Renewal (?) for Years 6-10 10 11. Summary of Current Status Working Platform SEAD Active Content Repository (ACR) Collaboration / File Sharing Space for Research Projects Staging Area for Data Prior to Publishing or Archiving SEAD Virtual Archive Capability to push data from ACR and/or local research environments to preservation and discovery services (Institutional Repositories/DataONE) SEAD Research Network Researcher initiated profiles with harvesting of citations, linkage of data-people-publications, reporting 11 12. SEAD Prototype 13. SEAD, Universities, and Libraries From the researchers perspective SEAD is an project work space that enables data sharing, commenting, secure storage, extraction of metadata, and active/social curation From the university research infrastructure perspective SEAD is a staging area for data curation prior to publication, submission, and preservation 13 14. Data Set Publishing Workflow Data content used within ACR Researcher Profile Established in VIVO NCED Data Set Ingested to ACR Data Set ready to publish NCED Data Set Ingested to VA DataCite minted DOI attached to finalized Data Set NCED Data Set Deposited with IR DOI Resolution to designated IR NCED Data Set Published to VIVO 15. Data Citation Example - Person 16. Data Citation Example - Dataset DOI Authors Subject areas Abstract Geographic focus Rights information 17. SEAD: Explore Sustainability Research PEOPLE ORGANIZATIONS RESEARCH (DATA + PUBLICATIONS) 18. NCED Publications in VIVO 19. SEAD Virtual Archive Purpose: Long-term preservation and discovery Thin virtualization layer on top of multiple university Institutional Repositories (IRs) Enhances IRs by being sustainability science-aware Team: IU Libraries, UIUC Libraries, and Data To Insight Center at IU Starting point: Data Conservancy code (Johns Hopkins U.) Extended for sustainability science long tail use cases 20. Making Data Sustainable: Use Case Active Curation Repository (ACR) SEAD Virtual Archive IUScholarwork s UIUC Ideals Packaged object Preserve data Keep private for 5 years Index data, metadata and relationships Collected data about Lower Mississippi flood Stored in Active Repository Organized as a collection Marked Ready for publication Collections visible to team only for 5 years Deposited to repository based on dataset creator affiliation Find by author, location, keywords or repository 21. Preview Data Upload Data to VA Run Virus Checking File Charact- erization Mint DOI Deposit to IR (& cloud) Update DOI target Index Metadata Index Scientific Metadata Large Dataset Decision Version Data IR Match- maker Index Scientific Metadata Accept Repository Agreement Ingest Workflow into SEAD VA Link to live demo http://seadva.d2i.indiana.edu:8181/sead-access/#login 22. Successful automatic ingest into UIUC IDEALS repository 23. Communication with IRs Datasets deposited into IU SDA, IU Scholworks and UIUC IDEALS 24. Some Lessons Learned Some researchers and projects in the long tail have sophisticated demands for active data services Supporting analysis of data in SEAD adds complexity and cost Users want some degree of customization of bare-bones file storage and active project space A big gap remains between data producers and the campus/library/archive infrastructures for long-term access and preservation. 24 25. SEAD Priorities and Future Plans Make SEAD more stable and more usable Attract a larger, broader, and more diverse user community Network effects in the long tail Self service Expand repository options Resolve Governance and Sustainability 25 26. More info www.sead-data.net Give or send email to myersjd@umich.edu for access to the SEAD Demo site