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03.14.2024 | Member News & Releases

The Royal Society and DataSeer.ai Sign Agreement after Successful Pilot Program for Open Research Data Compliance Checks

The Royal Society, the oldest scientific academy in continuous existence, and DataSeer.ai, a leading provider of open science analytics and compliance solutions, proudly announce the signing of a strategic agreement aimed at enhancing open research data compliance in the Royal Society journal Proceedings of the Royal Society B.

It follows the completion of a successful pilot, which commenced with the journal in January 2024, to address the growing need for robust mechanisms to ensure compliance with open research data policies. With the exponential growth of scientific data and the increasing emphasis on transparency in research, there has been a corresponding demand for innovative solutions to streamline the open data compliance process.

Proceedings B has recruited a team of eight Data Editors who are responsible for assessing data sets and data statements for quality, completeness, and reliability, ensuring that the journal’s open data policies are adhered to.  Under the new agreement, DataSeer.ai will provide its cutting-edge AI-powered platform and open data reports to Proceedings B enabling detailed checks for compliance with open research data mandates. Leveraging advanced algorithms and machine learning capabilities, DataSeer.ai’s platform can efficiently analyze vast datasets, identify potential compliance issues, and provide actionable insights to researchers and institutions. The Data Editors will use these reports as part of their data assessment process.

Phil Hurst, Publisher at The Royal Society, expressed his enthusiasm about the collaboration, stating, “DataSeer.ai is vital in helping our Editors ensure data supporting research findings are as complete and accessible as possible. This is part of a wider aim to maintain research integrity in increasingly challenging times.”

Dr. Tim Vines, CEO and Founder of DataSeer.ai, echoed Phil’s sentiments, emphasizing the significance of the partnership in advancing the principles of open science. “We are thrilled to collaborate with the Royal Society in promoting greater transparency and accountability in research, and promoting alignment to funder mandates. Our AI-driven platform will help authors adhere to open research data policies, ultimately enhancing the integrity and reliability of scientific findings.”

The agreement between the Royal Society and DataSeer.ai signifies a pivotal step toward revolutionizing data compliance practices within the research community. By harnessing the power of artificial intelligence, both organizations are committed to fostering a culture of openness, collaboration, and integrity in scientific research.


About DataSeer.ai DataSeer brings the power and scalability of Artificial Intelligence to promoting Open Science. We help stakeholders like journals, funding agencies, or institutions monitor & showcase their research outputs. We also guide individual researchers through sharing the data, code, and protocols that underlie their articles. Through our partnerships with research stakeholders, DataSeer will empower the Open Science revolution. Find out more at https://www.dataseer.ai/.

Follow DataSeer.ai on Twitter/X @DataSeerAI and LinkedIn

Contact Adrian Stanley, DataSeer.ai | adrian@dataseer.ai

About The Royal Society The Royal Society is a self-governing Fellowship of many of the world’s most distinguished scientists drawn from all areas of science, engineering, and medicine. The Society’s fundamental purpose, as it has been since its foundation in 1660, is to recognize, promote, and support excellence in science and to encourage the development and use of science for the benefit of humanity. http://royalsociety.org. Follow the Royal Society on Twitter/X @royalsociety or on Facebook (facebook.com/theroyalsociety).

Follow the Royal Society Publishing on Twitter/X @RSocPublishing, or on Facebook (facebook.com//RoyalSocietyPublishing) and https://royalsociety.org/journals/.


Member News Release submitted by DataSeer on 03/14/2024.

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