# Data Standards Data standards constitute a set of formalized guidelines and specifications that dictate how data is to be collected, formatted, and exchanged across various systems and platforms. These standards are pivotal in ensuring data consistency, quality, and interoperability, thereby facilitating efficient data management and exchange. By aligning data practices with established standards, organizations can achieve seamless integration and communication between disparate data systems. For more information about recent data standards research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Data+Standards) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Data+Standards) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Data+Standards) Our research team, partners, and the extended Network of the Datasphere have identified the following entities working at the intersection of data or data governance and data standards. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.