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Thoughts On: Standards in Science Analysis and Mapping Brainstorm

Thoughts On: Standards in Science Analysis and Mapping Brainstorm . Peter A. Hook , J.D., M.S.L.I.S. Doctoral Student School of Library and Info. Science Indiana University—Bloomington http://ella.slis.indiana.edu/~pahook. March 20, 2011 – Modeling and Mapping Science Workshop.

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Thoughts On: Standards in Science Analysis and Mapping Brainstorm

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  1. Thoughts On: Standards in Science Analysis and Mapping Brainstorm Peter A. Hook,J.D., M.S.L.I.S. Doctoral Student School of Library and Info. Science Indiana University—Bloomington http://ella.slis.indiana.edu/~pahook March 20, 2011 – Modeling and Mapping Science Workshop

  2. Standards / Infrastructure • Many of the data standards will be set by what is available in the data infrastructures. • Currently defaulting to Web of Knowledge and Scopus. • These are the data elements we keep seeing, as these are the data elements available. • Will Vivo change this? Mendeley?

  3. Standards for the Spatial Mapping • Goals: • Replicabilty • Interpretability • Comparison Making • Notions of Scale • No absolute references like in cartography.

  4. 1931 Subjects (Controlled) Subjects with no co-occurrence are 11 more units distant than subjects with 1 co-occurrence. Distance Range = 1 to 67

  5. Base Maps • Collaborative Base Map (Maybe get NSF Funding) • Most comprehensive possible. • Anyone can use to overlay their own domain analysis. • (Kind of already in play with SciTech maps as used by their collaborators).

  6. Comprehensive Bibliography • maybe wiki-base • maybe hosted on places and spaces website • domain mapping metadata

  7. Domain Mapping Metadata • domain mapped • data source (with sample search) • data dates • relationship technique (similarity): ACA, BC, co-authoring. • replicable? deterministic / stochastic • ordination technique • algorithm • software platform implementation

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