CCC’s Ringgold Identify Database Integrated into the Kriyadocs Unified Publishing Ecosystem
October 16, 2024 – Kriyadocs is excited to announce a new strategic collaboration with CCC, a leader in advancing copyright, accelerating knowledge, and powering innovation, that features an integration of CCC’s Ringgold Identify Database, of organization persistent identifiers (PIDs) and metadata, into the Kriyadocs Unified Publishing Ecosystem. This partnership will support publishers in significantly enhancing data accuracy and streamlining the publishing process.
“We are thrilled to collaborate with CCC and integrate its industry-leading identifier database into our platform,” said Ravi Venkataramani, CEO, Kriyadocs. “This partnership aligns with our commitment to enhancing the publishing experience for our clients, ensuring that their data is accurate, reliable, and easily manageable.”
The Ringgold Identify Database, part of the Ringgold Solutions suite, has built a trusted reputation for its innovative approach to organization identification, offering a comprehensive database of more than 638,000 unique persistent identifiers and 30 descriptive and robust metadata elements that enable accurate and consistent identification of organizations worldwide.
As part of a collection of third-party integrations called Kriyadocs Klicks, Kriyadocs will integrate with the Ringgold Identify Database to enhance data accuracy by ensuring precise, up-to-date organization data, boost workflow efficiency with streamlined data processing, and offer global consistency for seamless collaboration and data sharing.
“As the scholarly communications ecosystem evolves, data quality is increasingly more important,” said Emily Sheahan, Vice President & Managing Director, CCC. “This partnership will enable Kriyadocs stakeholders to improve data quality, help drive strategic decision-making, and support data interoperability.”
In an era where scholarly communication is becoming increasingly interconnected, Kriyadocs’ integration with CCC’s Ringgold Identify Database marks a significant advancement in data management. By leveraging its persistent identifiers for organizations, this collaboration enhances interoperability across the research lifecycle.