ALCTS, ALCTS_CMMS, LITA
Please join us for two presentations on the theme of curation, data modeling, ontology development and challenges in learning and teaching Linked Data.
1. Connecting Researchers and Resources with eagle-i
Tenille Johnson, Lead Data Curator, Harvard Medical School
Abstract: Groundbreaking biomedical research requires access to the right scientific tools and resources, many of which can be shared. But researchers are often unaware of what’s available at the lab next door, much less across the country. This leads to wasted time and effort, and makes reproducing results more difficult. eagle-i is a national network and ontology-driven, RDF-based discovery tool developed in 2009 to help researchers and universities create, store, and search semantically rich data about research resources of all kinds. The open source eagle-i software platform is built around Semantic Web technologies; information in eagle-i is available as
Linked Open Data and can be queried via public SPARQL endpoints and repurposed to fit different needs. Although organizing information about resources such as cell lines, antibodies and core facilities has not been the traditional purview of libraries, librarians can provide invaluable expertise with curation and data modeling, and help with training and outreach efforts at their institutions. This presentation will describe the current eagle-i work and underlying data structure, and discuss the ways libraries can get more involved.
Bio: Tenille Johnson is Lead Data Curator for the eagle-i Network at Harvard Medical School. She gained experience with structured vocabularies and the development of new software systems in a variety of commercial libraries before joining Harvard Catalyst’s biomedical Informatics Program in 2010, where she currently works on data quality, ontology development, and annotation guidelines for the eagle-i and SHRINE projects. She has an MLIS from Simmons College and a BA in Religion from Bates College.
2. Dublin Core’s Linked Data for Professional Educators Competency Index andExploratorium
Mike Lauruhn, Disruptive Technology Director, Elsevier Labs
Abstract: The Dublin Core Metadata Initiative (DCMI) is undertaking the Linked Data for Professional Educators (LD4PE) project to develop an open data competency index and using it curate a collection of learning resources relevant to learning and teaching Linked Data. The intent is that this Exploratorium will be sustained by DCMI and its members as part it's larger education and outreach activities. In this session we will give an update on the Linked Data Competency Index and the Exploratorium of learning resources. We will engage the audience in a discussion to identify their priorities and challenges in learning and teaching Linked Data and talk about favorite resources. This session will aid the project as we make iterative improvements to our products.
Bio: Mike Lauruhn is a librarian working as Disruptive Technology Director at Elsevier Labs. His current research areas include Linked Data, taxonomies and ontologies, mark-up and annotation, research data lifecycles, and other issues affecting research communications. Before joining Labs in 2010, he held consulting and technical positions helping large companies and organizations
define and implement taxonomies and metadata schemas. Mike's earlier work experience includes cataloging for the California Newspaper Project at the Center for Bibliographic Studies and Research at the University of California, Riverside.
Meeting Type: Discussion/Interest Group
Content Area: Transforming: Systems & Technology
Interests: Cataloging, Digitial Libraries, Electronic Resources, Emerging Technologies, Integrated Library Systems (ILS), Metadata, RDA, Trends and Forecasting
Library Type: Academic, Consortium, Government, Law, Medical, Public, Research Library, School/Media Center, Special
Sponsors: ALCTS, ALCTS_CMMS, LITA
Cost: Included with full conference registration.