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FAIR data principles and why they matter

Abstract
NISO Discourse Discussion for this session
https://discourse.niso.org/t/fair-data-principles-and-why-they-matter/89

FAIREST of them all
Findable, Accessible, Interoperable, Reusable. We all think FAIR data is a “good thing” don’t we. Who could be against something that, once stated, is so blindingly obvious? If it’s not findable, and usable then why are we spending time, money and resources keeping it? And it’s a great acronym as well. FAIR. It “does what it says on the tin"""". If you’ve got a good acronym you’re half way there when it comes to hearts and minds….

But I think FAIR doesn’t go far enough. There are major impact factors that need to be considered alongside FAIR. What about the costs involved in making information FAIR? Where does trust come in? What about the environmental impact?

Time for a new acronym that goes beyond simply “FAIR”.

What should that be? This talk will propose one possible extension to the concept...""

Leveraging FAIR Data Principles to Construct the CCC COVID Author Graph
A knowledge graph is an innovative and revealing visual exposition of data. Display of such data is a powerful way to explore connections and query relationships among different entities, but only if the underlying data is of high quality.

The global research community’s effort to fight COVID-19 has led to an explosive increase of manuscripts submitted to peer-reviewed journals. With this influx of submissions, publishers have recognized limitations in the existing methods for identifying appropriate peer reviewers to validate the accuracy, impact, and value of these manuscripts.

To address this challenge, CCC developed the COVID Author Graph, a knowledge graph highlighting peer review data focused on authors who have published in areas with special attention to coronaviruses, SARS, MERS, SARS-CoV-2, and COVID-19. This new approach helps publishers leverage data to aid in the accelerated identification of peer reviewers.

During this session, presenters will illustrate how the FAIR data principles –Findability, Accessibility, Interoperability, and Reuse of digital assets – served as a trusted foundation for building the COVID Author Graph. They will share key learnings with an emphasis on how reliable levels of data quality that FAIR principles make possible enable more sophisticated analysis and help organizations derive actionable business insights.

FAIR (meta)data - low-hanging fruit for scholarly publishers (Brian Cody)
Drawing on experience working with journal publishers to collect/enhance/format metadata, this session section overviews FAIR principles and shares concrete steps for beginning your FAIR journey.

NISO Plus 2021

91

Global

February 22-25, 2021

NISO Plus 2021 was our first virtual conference, held in February of 2021. A global undertaking, NISO Plus 2021 had over 800 participants from 26 countries come together to have a conversation about the state of the information ecosystem. Here you'll find both the presentations and discussions from that event.

Brian Cody

2

CEO and Co-Founder - Scholastica

Paul Stokes

2

Product Manager - Jisc

Paul has had a varied career in both the commercial sector and academia (and all points in-between). At present,  he leads on preservation for Jisc's Preservation service [Preservation | Jisc] where he is currently referred to as a ""Product Manager"". He is a director of the Digital Preservation Coalition (DPC) [Home - Digital Preservation Coalition (dpconline.org)] and a director of the Open Preservation Foundation (OPF) [Home Page - Open Preservation Foundation] . He's been passionate about preservation for many decades.

He currently also has a number of bees in his bonnet regarding costs, value, sustainability, and storage. He will talk endlessly about preservation and those bees.

Stephen Howe

1

Senior Product Manager - Copyright Clearance Center

Raised in a family of teachers, a former teacher himself, and a lifelong student, Stephen's goal is to help people learn. Stephen has spent his career working at the intersection of publishing, education, and technology, holding positions in sales, sales management, production, project management, digital publishing, digital editorial, and product management. Trained in the liberal arts tradition, Stephen holds a BA and MA in philosophy, an MBA in management, and a Masters in Analytics. Stephen currently works as the Senior Product Manager - Analytics at Copyright Clearance Center and serves on the advisory board at Brandeis University for the Masters in Strategic Analytics program.