1. Using VIVO for Scientific Applications Matt Mayernik (National Center for Atmospheric Research) Anne Wilson (Laboratory for Atmospheric and Space Physics) John Furfey (Woods Hole Oceanographic Institute) VIVO Conference - 8/19/2016

2. http://duraspace.org/registry/vivo 2 At least five instances based at geoscience-focused organizations.

3. Panel Focus What are generic aspects of VIVO that are easy to apply? What are the aspects that are constraining us in what we want to do with VIVO?

4. EarthCollab: Enabling Scientific Collaboration and Discovery Through Linked Scientific Resources Matt Mayernik Project Scientist & Research Data Services Specialist NCAR Library / UCAR Integrated Information Services National Center for Atmospheric Research (NCAR) University Corporation for Atmospheric Research (UCAR) With many collaborators at: NCAR/UCAR Cornell University Libraries UNAVCO Funded by the NSF EarthCube program Grants 1440293, 1440213, 1440181

5. EarthCollab Project Motivations Scientific projects are increasingly organized as “virtual organizations” – Distributed participants – Digital communication & information sharing – Distributed heterogeneous products Duplication of information about people, projects, and data across organizations and systems 5

6. 6 Arctic Data Connects http://vivo.eol.ucar.edu/ Poster yesterday: Don Stott, EOL Arctic Data Connects: a Prototype Based on VIVO for Improved Discovery and Access to the Bering Sea Project Archive

7. Connect UNAVCO 7 http://connect.unavco.org/ Talk yesterday: Benjamin Gross, Connect UNAVCO, a VIVO for a Scientific Community

8. Cross-linking* Matt Pritchard Datasets Publications (Cornell) UNAVCO Profile Matt Pritchard Publications Datasets (UNAVCO) Cornell Profile “same as” links established in both directions UNAVCO retrieves Cornell publications Cornell retrieves UNAVCO datasets Presentation this afternoon, 3:30 - 4:00pm, Huda Khan, Extending VIVO Infrastructure to Support Linking Information Between EarthCollab VIVO Instances

9. EarthCollab What are generic aspects of VIVO that are easy to apply? Ingest of basic information about people and datasets Can change ontology as doing development Display of extensions to the ontology What are the aspects that are constraining us in what we want to do with VIVO? Support for geospatial information not robust Vocabulary support - Hard to use controlled subject term vocabularies that aren’t built in Inadequate mapping of geoscience research on “Map of Science” Some lack of clarity in the VIVO-ISF ontology, e.g. Event classes, use of OBO gives a biomedical slant