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The Analysis Stage

The Analysis Stage. Analyzing the data from the 4 exercises. The Evidence. A comparative placement of current data services (aka, the 40-item scale) Drivers in the environment and the trends expressed by these drivers

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The Analysis Stage

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  1. The Analysis Stage Analyzing the data from the 4 exercises

  2. The Evidence • A comparative placement of current data services (aka, the 40-item scale) • Drivers in the environment and the trends expressed by these drivers • Your local data landscape identifying the relationships with data providers, creators, services, and user communities

  3. The Evidence • The ideas generated around the discussion of possible collaborations or partnerships • The long list of data management activities that span the research lifecycle

  4. Now What? • We are asking you to synthesize from this evidence some specific activities that will serve as the starting point for developing a three-year plan. • This draft of your three-year plan will obviously need to be processed in your home institution using your local planning convention. But don’t let this limit your current draft. We will discuss strategies to support your draft later today.

  5. An Example • UT Maps & Data Library • Strong data collection about Toronto and the GTA • A valuable service model for comparisons • Two trends • Demographic • Information • A question from the floor • Are open data being preserved?

  6. UT Maps & Data Library • Developing a collection of strength • Spatial and geo-referenced data describing Toronto in the past and today • Intentional collection building, including the production of data for the collection • User services supporting the collection • Training • GIS software support • Marcel’s pyramid of services, including analysis • Access services • Discovery and retrieval tools • Software support

  7. Two Trends • Demographic Trend • Urbanization: 80% of Canada’s 35 million live in urban centres • Rural Canada continues to be shaped by the forces of urbanization • Information Trend • Urban centres embracing open data in Canada

  8. One Question “Are municipal Open Data being preserved?”

  9. Collection Services • Do you have a data collection policy? • Does that policy identify local data resources in the collection? • What priority is assigned to local data resources? • Does it entail the production of local data as well as acquiring local data? • Do you provide metadata services for local data resources?

  10. Collection Services RDMI Activity • Explicitly identify local data resources in the library’s data collection policy • Identify local data sources for acquisition and secure any funding that is required • Review with a metadata librarian the standard or standards most applicable for local data • Establish a metadata production project around local data

  11. User Services • What kind of reference support and training is needed for local data resources? • Does your library have a liaison librarian for local resources or are these responsibilities spread across librarian portfolios? • Does your library provide services to local community users in addition to campus users? • Does your library collaborate with the municipal library in supporting community users?

  12. User Services RDMI Activities • Collaborate with the library liaison for local resources regarding both collection development and reference support • Coordinate with municipal librarians the referral process for local data • Provide training on local data resources for librarians, campus users, and the public

  13. Access Services • What tools are provided to support discovery of local data, interpreting the contents of these data, and retrieving the data? • Are local data open or are there layers of access control required for the data? What type of services support the various levels of access? • Can the data be delivered in a variety of formats? • Can the users extract just the data they want?

  14. Access Services RDMI Activities • Support federated discovery of the metadata for local data • Provide web services to access local data, including data extraction and format selection • Collaborate with other libraries providing access to local data resources to facilitate data exchange and interoperability

  15. Preservation Services • Does your library have a mandate to preserve local data? Or, could your library serve as a staging repository for local data? • Does your library have a preservation system that can support local data? • What kind of ingest services can be provided for local data? • Is there a community of practice with whom your library can collaborate in preserving local data?

  16. Preservation Services RDMI Activities • Work with the institutional repository librarian to ingest local open data resources • Identify the formats endorsed by the data preservation community as the most appropriate for the variety of local open data being ingested and use these formats in processing the data for ingest • Collaborate with other regional libraries to support a file replication service

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