1. The Changing Data Environment Train the Trainers Montreal February 2010 Chuck Humphrey University of Alberta

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3. Data’s shameful neglect Nature, Sep 10, 2009

4. Data stewardship infrastructure International initiatives that make me envious U.S. NSF DataNet Europe’s Digital Repository Infrastructure Vision for European Research (DRIVER) DRIVER II: Federated data repositories Where’s Canada? We need an investment by CFI into a national platform for data stewardship

5. e-Infrastructure of repositories e-Infrastructure for repositories Management Transparent Responsive Informed Grids, Virtual Organisations, etc Repositories Trusted Open Well managed Repository management, curation, physical security, etc Repositories services Ease of use Availability Reliability Deposit, annotation, delivery, visualisation, search, help, etc Information Authenticity Quality Longevity Collections: data, work-flows, publications, learning materials, etc. Available Scaleable Reliable Networks, computing, HPC, physical storage, etc Physical infrastructure Access Standardised Stable Flexible Authentication, authorisation, logical security, federation, portals, etc 5 Source: Mário Campolargo Open Grid Forum Barcelona, 3 June 2008 source: eSciDR study (adapted) e-Infrastructure for repositories

6. Data: the power of collections Large science data centres, like the Chandra Data archive, are successful because they consist of an organized, managed and preserved collection. Statistics Canada discovered the power of collections through academic library participation in DLI and the RDC Network.

7. No data file left behind Data centre model Astronomy example The data centre is part of the instrumentation infrastructure Data repository model Islandora Scholar’s Portal Odesi Domain archives Omnibus collections like the ICPSR & UK DA

8. http://www.dcc.ac.uk/lifecycle-model/ 8

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10. This table lists changes to the stages in the DCC model, re-aggregating activities in the lifecycle to create a data library viewpoint. DCCData Lib create or receive data production appraisal and select dissemination ingest, store, access and use data repository discovery transformrepurpose 10

11. Data stewardship lifecycle Data RepurposingData Production Data Repository Data Dissemination Data Discovery 11

12. Data management services International initiatives that make me envious Australia ANDS UK RDS What should Canada be doing? Develop data management planning methods and protocols Providing national services, such as DataCite Building capacity

13. Research Data Strategy Working Group Initiated by Pam Bjornson, CISTI Executive Director –Cross-sector working group consisting of members from government departments & agencies and research libraries Stewardship of Research Data in Canada: A Gap Analysis (January 2009). Uses a lifecycle model to identify data problems in Canada. RDSWG reorganized in anticipation of the release of the Gap Analysis in fall 2008. –Task Group 1: Engagement strategy –Task Group 2: Policies, funding and reward systems –Task Group 3: Infrastructure and services –Task Group 4: Capacity 13

14. Gap analysis summary Source: The Stewardship of Research Data in Canada: a gap analysis, Table 2, page 17. 14

15. CARL Data Management Working Group Members –Marnie Swanson, Chair (U of Victoria) –Pam Bjornson (CISTI) –Lynn Copeland (SFU) –Michelle Edwards (U of Guelph) Observers –Bernie Gloyn (Statistics Canada) –Margaret Haines (Carleton U) –Janine Schmidt (McGill U) –Kathleen Shearer (CARL consultant) Produced the Data Management Awareness Toolkit 15

16. Research Data Management Seminar 16

17. Metadata: making data smart Standards for documenting the lifecycle CASRAI: the Consortia Advancing Standards in Research Administration Information DDI 3.0 COPPUL’s Table-to-Data (T2D) initiative Tools to exploit metadata Metadata needed to automate aspects of asset management Example of the risk management of confidential data Track the lifecycle documenting risk factors

18. DLI Training: making data service providers smarter Throughout these environmental changes, one mission of DLI Training is to support data service providers in making the transition to the new ways in which access is provided to research data and in which data are preserved.