Emerging data management mandates from funders, in addition to growing recognition of the value of research data, are posing new challenges for researchers and repositories. Curating research data, enabling discovery, elevating quality across diverse repositories, and helping researchers collect and organize data through its full life cycle, including publication and reporting back to funding agencies, are multidimensional challenges that will continue to grow in complexity in the coming years.
Domain repositories will continue to serve a critical growing role for quality and discoverability, and must be supported, but leading research institutions and companies will also become important as they develop and expand their data curation efforts.
To address this emerging challenge, AGU is developing a program that will help data repositories, large and small, domain-specific to general, use best practices to assess and improve their data management practices.
AGU is partnering with the CMMI® Institute to adapt their Data Management Maturity (DMM)SM framework to the specific needs of the Earth and space sciences. A data management assessment using the DMMSM involves identifying accomplishments and weaknesses compared to leading practices for data management. Recommendations can help improve quality and consistency across the community that will facilitate reuse in the data lifecycle. Through governance, quality, and architecture process areas the assessment can measure the ability for data to be accessible, discoverable, and interoperable.
More information about this program and how qualifying institutions can take advantage of the knowledge it will offer will be announced in the coming weeks.