Science and Research Content

SSP NYC 2018 regional event recap - Metadata 2020: The future of research relies on cross-community collaboration -

Twenty attendees from a range of backgrounds gathered in the Adler Room in Rockefeller University's Founders Hall for SSP's regional event in New York City on the evening of September 13, 2018. There they learned about and discussed the increasing importance of good metadata and how the Metadata 2020 initiative is bringing the community together around this integral topic. Following three engaging presentations, attendees continued to have lively discussions in breakout groups.

Paul Dlug, assistant director for journal systems at the American Physical Society, was an early advisor during the creation of Metadata 2020 and currently a member of its publisher group. He provided an overview of the initiative with an emphasis on the importance of its collaborative nature. Community groups representing all aspects of scholarly communications are represented within Metadata 2020: researchers; publishers; librarians; data publishers and repositories; services, platforms and tools; as well as funders. While, getting stakeholders from across the scholarly communications landscape together to talk about metadata and their shared successes and challenges is in itself an accomplishment, attendees learned that best practices and principles will be made available to the community in the very near future.

ITHAKA's Jabin White (vice president, content management) provided an overview of metadata basics and its important role as "instructions for what to do with content." He expressed that while metadata is necessary it is also tricky, and that is why Metadata2020 is so important. While the way an organisation uses metadata must meet its specific needs, setting up an environment in which people can talk to each other about metadata will help lead to more standardisation and ultimately benefit end users. Jabin then talked about the JSTOR Text Analyzer, an example of the kinds of things you can do with good metadata. JSTOR's Text Analyzer is a tool that allows users to upload text from which topics are extracted and search results provided from content on the JSTOR platform.

David Schott, Copyright Clearance Center's senior manager of data engineering, discussed metadata in the context of the Open Access lifecycle. He addressed the importance of having standards for and using metadata to track licensing terms. For Open Access content, in particular, this is important not only for distributers and end users of content but also to track compliance with funder mandates. Among other things, David stressed that good OA metadata can lead to seamless use of content based on the license, while bad OA metadata can lead to increase costs to mitigate risks as well as inconsistent user experiences.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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