Tag: FAIR

February 5, 2025

FAIR and Standards: Maximizing Digital Data Value

This CCC webinar in the “Workflow of the Future” series triggered a thought-provoking discussion exploring how FAIR principles could help standards publishers transform the re-usability of standards data.

Topic: Standards

By Jonathan Clark

Video

Workflow of the Future: FAIR and Standards: Maximizing Digital Data Value

This webcast explores how the FAIR Guiding principles have gained traction in research and how SDOs can learn from them to enhance data reuse and integration.

Topic: Data Management, Standards

December 16, 2024

The Practicalities and Realities of AI — Key Takeaways from the 2024 Pistoia Alliance Conference

On November 12 and 13, I had the opportunity to participate in the Pistoia Alliance’s 2024 conference in Philadelphia, PA. …

Topic: Artificial Intelligence (AI) Data Management

By Stephen Howe

December 3, 2024

Q&A With the Godfather of FAIR Data Principles, Barend Mons

Barend Mons is the Founding Director of the Leiden Institute for FAIR and Equitable Science (LIFES), a joint effort by …

Topic: Artificial Intelligence (AI) Research & Development

By CCC

September 3, 2024

Enhancing Data Discovery: How RightFind Navigate Utilizes SciBite’s 20 Million Synonyms

SciBite’s VOCabs are integrated into CCC’s RightFind Navigate software, fueling search capabilities by enabling users to locate relevant data beyond just the specific words searched.

Topic: Data Management Pharma & Healthcare Research & Development

By Sam Shelton

August 15, 2024

Transforming Standards with FAIR Principles

The impact of technological change on the standards ecosystem means standards publishers need to adopt new technologies faster and adapt their publishing toolchains to better meet the needs of increasingly digital consumers.

Topic: Data Management Standards

By Ivan Salcedo

January 24, 2024

Ringgold and the FAIR Principles: How Ringgold Data and Metadata are Reusable

The FAIR principles are designed to address the necessary steps to make research data and the metadata attached to it FAIR (Findable, Accessible, Interoperable, and Reusable).

Topic: Data Management Scholarly Communications

By Laura Cox

October 3, 2023

Unlocking the Power of FAIR Data: Building Trust and Success in the AI Era

FAIR data plays a crucial role in AI creating a foundation for trust and success. Read Babis Marmanis’ analysis of FAIR Data in the AI Era.

Topic: Artificial Intelligence (AI)

By Haralambos Marmanis

August 24, 2023

CCC & GO FAIR Convene Workshop to Improve AI Outcomes Using High-Quality FAIR Data

Since the introduction of FAIR principles in 2016, there has never been a question that their implementation would help drive innovation and accelerate the R&D lifecycle.

Topic: Artificial Intelligence (AI) Company News Data Management Research & Development

By Haralambos Marmanis

September 10, 2020

Improving Peer Review through Better Data

Semantically enriched metadata can and should play an important role in improving and expediting the scholarly publishing cycle, while also helping to ensure that the articles involved adhere to the highest possible standards of quality and reliability.

Topic: Open Access (OA) Scholarly Communications

By Jennifer Goodrich