# Data Governance Data governance refers to the framework of policies, standards, and practices that oversee the management and use of data within an organization. It aims to ensure data quality, consistency, and accountability across the data lifecycle, encompassing aspects such as data integrity, accessibility, and security. This discipline is integral to optimizing data value, aligning data-related activities with organizational goals, and mitigating risks associated with data misuse. For more information about recent data governance research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Data+Governance) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Data+Governance) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Data+Governance) Our research team, partners, and the extended Network of the Datasphere have identified the following entities working on data governance. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.