1. An evolving relationship: map libraries and data producers Grace Welch May 31, 2002 ACMLA/CAPDU Conference

2. Outline Some history What are we missing in terms of data? What are the outstanding issues? Future directions and priorities What can we do as individuals and as an association to work with data producers?

3. A look at the past 1995: ARL GIS Literacy Program comes to Canada First data arrives in our library: DCW – only Canadian data in our libraries until DLI – census boundaries, streets ArcCanada

4. You’ve come a long way baby! Not quite famine to feast But detailed national data now available DMTI data DSP for maps Provincial deals for academics

5. Milestones: DLI First consortia access to government data Helped develop data expertise in libraries training in Halifax, Saskatoon, London Demand growing exponentially on our campuses Supporting structure for libraries

6. Milestone: Geogratis Federal “legacy” data for download Began with CLI Now one of the most heavily used data sites in Canada Largest user by type is other government departments

7. Milestone: City of Ottawa & NCC City of Ottawa provides GIS datasets on their web site for non-commercial purposes; free to download NCC offers complementary data to “data poor” universities First large scale city type data for universities

8. Milestone: DMTI First commercial company to offer affordable access Over 40 university & colleges participating in consortium Models for other educational initiatives On-going support

9. Milestone: DSP for Maps Includes: digital topographic maps and related products for entire country, digital geology maps Available to educational institutions with GIS capabilities 5 year program, license to be reviewed in one years’ time

10. Other federal data initiatives CANSIS being enhanced Daily climate data to be included in DSP - two CD set, translation still issue Government policy initiatives: KPMG study on pricing Standard licensing for data sharing GeoBase available in next year

11. Provincial gov’t: successes Several models for provision of data to academia New Brunswick $1.00 sale to UNB (now free and available to other universities) Alberta govt. agreement with universities 2 years ago Some provinces offer discounted prices for NTDB Manitoba: new agreement Policies vary by province and by department

12. Provincial gov’t: challenges? Problem areas: Ontario & Quebec Ontario: negotiating since 1992 Paying for infrastructure development Individual departments supportive, e.g. MTO, OMAFRA, Municipal Affairs, OGS Quebec: still negotiating, considering DSP model

13. Provinces: issues Variation in support, hit or miss depending on request E.g. roads data from B.C. Yukon DEM Generally based on educational institutions in province – not always known to other institutions

14. Municipal data Like provinces, widely variable Arrangements based on single or local institutions Hard to acquire comparable municipal data for provincial/national studies Lack of adequate metadata

15. Evolutionary process: THEN Our relationship with data producers: Constrained by cost/recovery policies Mapping type services slashed in early, mid-90s Had to justify GIS investments to their managers Data leakage paranoia

16. Evolutionary process: NOW Most data producers supportive Recognize value of encouraging GIS in educational sector Want policies to change but slow, painful process Trying to standardize licensing Educational offers available

17. Factors promoting change CGDI and GeoConnections!!! Success of DLI Educational sector champions Government focus on knowledge economy New models to build on: DMTI

18. Challenges Process slow and invisible Licensing – too many, too detailed No consistency in approach to educational sector Still pockets of mistrust Copyright

19. Unresolved problems Institutes/collaborative projects: usually outside licensing arrangements Lack of knowledge about individual agreements Management of multiple licenses Tracking of individual users

20. What can we do? Become involved in process Look for partnering opportunities Recognize success Share expertise Ensure data is used

21. To work on Need reciprocal agreements Promotion of metadata Development of our delivery infrastructure Feedback into discovery tools such as the Discovery Portal Communicate

22. Final thoughts Has our relationship improved? You betcha! Is there still work to be done No question!