Many funders now endorse the FAIR principles, which were published in 2016. Following FAIR principles ensures that research data is:
Findable: The first step in making your data reusable is ensuring that it can be located.
Accessible: Once someone has found your data, they need to know how they can get access to it. This may include authorization and/or authentication protocols.
Interoperable: to make your data reusable, you should ensure that it can be 1) integrated with other data and 2) utilized by applications or workflows for analysis, storage, and processing.
Reusable: To maximize the potential reuse of your data, make sure you've described it using appropriate metadata. This helps support replication.
Image source: https://www.openaire.eu/how-to-make-your-data-fair
Notes on sources: Data management principles were modified from Foster Open Science open source workshop Managing and Sharing Research Data. The course is provided through a Creative Commons license (CC BY 4.0) and is freely available online: https://www.fosteropenscience.eu/learning/managing-and-sharing-research-data/#/id/5b2ccc7d7ce0b17553f69063