Throughout the past year, feedback from the scholarly publishing community was an essential component to enhancing CCC’s market-leading solutions to help publishers of all sizes.

Topic: Open Access (OA) Scholarly Communications

By CCC

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

January 17, 2024

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

The FAIR Principles are vital to enabling the use of data, not just for people, but more importantly for machines.

Topic: Data Management Scholarly Communications

By Laura Cox

January 10, 2024

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

The second post in our four-part blog series explores how Ringgold data and metadata are Accessible.

Topic: Data Management Scholarly Communications

By Laura Cox

January 4, 2024

Identifiers, Metadata, and Shared Infrastructures Bolster Research Integrity

In this article, we highlight how the tools we have grown accustomed to are quietly underpinning research integrity and helping to foster a culture of transparency and trust.

Topic: Research & Development Scholarly Communications

By Andrea Chiarelli

January 3, 2024

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

The first of a 4-part blog series that will address each of the interlinked FAIR principles and how Ringgold Data is FAIR Data for organization identification. 

Topic: Data Management Scholarly Communications

By Laura Cox

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