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Thursday, November 3 • 6:00pm - 6:45pm
Linked Data and SHARE

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ARL's SHARE project (http://www.share-research.org) "is building a free, open, data set about research and scholarly activities across their life cycle." Working with SHARE, the Center for Open Science (COS) has harvested and organized a wealth of metadata from various institutional repositories and other sources such as open data repositories. While COS has already provided a search function, there remains a need for other mechanisms to discover, search and visualize content within SHARE. With funding from the Sloan Foundation, the Sheridan Libraries at Johns Hopkins University, Portico and IEEE have developed RMap (http://rmap-project.info/rmap/), which features a method for building and displaying linked data information graphs.

Using the RMap protocol for aggregations known as DiSCO, which is based on the OAI-ORE protocol, and a set of REST APIs, the RMap team has worked with COS to develop a data model for SHARE and harmonize the SHARE metadata into a set of linked data information graphs. These linked data graphs represent a useful resource and lens for making new connections between content within the SHARE network, identifying gaps in SHARE metadata and visualizing the SHARE network as a linked data framework. The COS has expressed an interest for additional work with RMap and SHARE.

The RMap team has also generated linked data information graphs from all of the journal content from IEEE and additional content from ACM, NCBI and Portico, all of which was used to infer connections within the SHARE network.

Speakers
avatar for Sayeed Choudhury

Sayeed Choudhury

Associate Dean for Research Data Management, Johns Hopkins University


Thursday November 3, 2016 6:00pm - 6:45pm
Grand Cypress Ballroom, Courtyard Marriott 125 Calhoun Street, Charleston, SC 29401