Panel of Industry Experts Will Share Best Practices for Developing Research Data That is FAIR Through Culture, Training, and Technology

May 2, 2023 – Danvers, Mass. –  CCC, a leader in advancing copyright, accelerating knowledge, and powering innovation, will present a Town Hall discussion via LinkedIn Live on 10 May at 11:00 a.m. EDT/16:00 BST/17:00 CEST where a VIP panel will share best practices for developing research data that is FAIR through culture, training, and technology. Audience members will learn how to identify signals of improvement and create breakthrough interoperability across research domains.

Speakers include Christine Kirkpatrick, Founder, GO FAIR US; Barend Mons, President, CODATA; and Erik Schultes, FAIR Implementation Lead, GO FAIR Foundation.

The FAIR Data Principles (Findable, Accessible, Interoperable, and Reusable), published in Scientific Data in 2016, are guiding principles set forth by a consortium of scientists and organizations to support the reusability of digital assets.

“Recent mandates by funders and governments call for sharing all research data in an effort to increase efficiencies, improve lives, accelerate the pace of discovery, and drive more equitable outcomes across every sector of society,” said Tracey Armstrong, President and CEO, CCC. “FAIR data principles emphasize machine-actionability and are essential for effective use of AI and managing the increasing volume and complexity of data.”

CCC has recently hosted virtual Town Hall discussions on “ChatGPT and Information Integrity,” “Data Directions,” and “What’s Ahead for Librarians and Researchers.”

To register, click here. Audience questions are welcome and may be submitted in advance to

About CCC

A pioneer in voluntary collective licensing, CCC advances copyright, accelerates knowledge, and powers innovation. With expertise in copyright, data quality, data analytics, and FAIR data implementations, CCC and its subsidiary RightsDirect collaborate with stakeholders on innovative solutions to harness the power of data and AI.