1. Chucks Vision of the Future of Data Services Presented to the : Ontario DLI/CAPDU Training Session Presented to the : Ontario DLI/CAPDU Training Session February 11, 2004 Wendy Watkins Chuck Humphrey Kingston April 14, 2005

2. OutlineOutline u Major reports u Institutional involvement in National Data Archive u Strengths of Data Services u Coming changes within academic libraries u Implications for Data Services u Advocacy u Conclusion u Major reports u Institutional involvement in National Data Archive u Strengths of Data Services u Coming changes within academic libraries u Implications for Data Services u Advocacy u Conclusion

3. Major Reports u National Consultation on Access to Scientific Research Data (March, 2005) u National Data Archive Consultation (June, 2002) v Both recognized important role of Data Services to: kPreserve research data kEnsure and facilitate access u National Consultation on Access to Scientific Research Data (March, 2005) u National Data Archive Consultation (June, 2002) v Both recognized important role of Data Services to: kPreserve research data kEnsure and facilitate access

4. Institutional Involvement in National Data Archive u No one institution can handle the work u Matrix approach v University and research libraries v Granting institutions v Research councils v Library and Archives Canada v Data producers u Share responsibilities for digital curation u Need clearly defined roles and responsibilities u No one institution can handle the work u Matrix approach v University and research libraries v Granting institutions v Research councils v Library and Archives Canada v Data producers u Share responsibilities for digital curation u Need clearly defined roles and responsibilities

5. Major Strengths of Data Services u Proximity v To data producers v To data users v Can play mediation role kBetween archive and users kBetween producers and archive u Proximity v To data producers v To data users v Can play mediation role kBetween archive and users kBetween producers and archive

6. Major Strengths of Data Services u Expertise v Developed over past decade v Need to become expert in data domains or fields v Investment in new technology worthless within 5 years v Investment in data expertise increases in value over time u Expertise v Developed over past decade v Need to become expert in data domains or fields v Investment in new technology worthless within 5 years v Investment in data expertise increases in value over time

7. Major Strengths of Data Services u Statistical and data literacy v Become more involved in training undergraduate and graduate students through: kWorkshops kCredit courses v Bring data into the mainstream and out of the methods ghetto u Statistical and data literacy v Become more involved in training undergraduate and graduate students through: kWorkshops kCredit courses v Bring data into the mainstream and out of the methods ghetto

8. Coming Changes in Libraries u Outsourced technical services u Smaller staff u More emphasis on content and consultation u More emphasis on discovery technologies: v Semantic web v Data mining u Outsourced technical services u Smaller staff u More emphasis on content and consultation u More emphasis on discovery technologies: v Semantic web v Data mining

9. Implications for Data Services u Need to train new generation of professionals u Need to engage in succession planning v Continue emphasis on training v Practicums for students v Internship positions v Data stream in library schools u Bundled services v Data, statistics and GIS u Need to train new generation of professionals u Need to engage in succession planning v Continue emphasis on training v Practicums for students v Internship positions v Data stream in library schools u Bundled services v Data, statistics and GIS

10. AdvocacyAdvocacy u Continue support for training programs u Maintain and improve level of access to Statistics Canada data u Lobby for continued PUMF production u Work to liberate other research data u Promote use of standards for preservation u Continue support for training programs u Maintain and improve level of access to Statistics Canada data u Lobby for continued PUMF production u Work to liberate other research data u Promote use of standards for preservation

11. ConclusionsConclusions u Many changes coming u Co-operation and standards are key to success u Communityregional, national and internationalwill continue to be of paramount importance u The coming generation of data professionals are our greatest resource u Many changes coming u Co-operation and standards are key to success u Communityregional, national and internationalwill continue to be of paramount importance u The coming generation of data professionals are our greatest resource