Workshop May 2007 day2 questions

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Theme 1: Promoting participation

  • We'd like more ideas for promoting participation and ease-of-use - what would makes deposition attractive for depositors?
  • What functionality would make data more valuable, usable, that a SSR could implement?
  • What uses for the data in a SSR should be promoted, apart from simple download and reanalysis? (Virtual Observatory as a model)
  • Services to provide
  • Mechanisms of encouraging compliance with policies in the absence of legal force.

Theme 2: Lessons learned from other projects

  • Other role models for small science repositories
    • Who can we learn from, and what lessons do we take from them?
    • What other sites/institutions are doing something really well?
    • Can we further clarify the community-source model?
  • Pros and cons of funding models such as institutional or society subscriptions, pay-for-submission, pay-for-access, and how they can be combined.
  • It would be useful to have a list of existing repositories to pick through and evaluate
  • What are the processes that can be ported from existing archives in their institutional context?

What other groups to tap into, like the Science Commons, SPARC OpenData, iAssist?

Theme 3: Architecture

  • Who houses stuff, both records and identifiers?
    • what needs to be identifiable?
    • who would be authorities?
  • Is it productive to process full-text for automated generation of 'context' metadata?
  • A key decision in CiteSeer was to store a local copy and not depend on remote copies. Does this make sense for a SSR handshaking with, say, an image dB?
  • Is everyone in agreement with the 'don't compete with Google' conclusion from yesterday.
  • What are the pros and cons of DOIs, handles, other identifiers?
  • Data and applications: where does the complexity belong?
    • simple data with complex applications?
    • complex data with simple applications?
    • data and applications with a complex schema in between
  • What sort of metadata is important independent of the publications that reference it?
  • How does death fit into the metadata lifecycle?
  • How to nurture the bottom-up growth of data standards?