1 / 7

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.

eilis
Download Presentation

Thoughts On: Standards in Science Analysis and Mapping Brainstorm

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related