Currently, the most widely applied practice, to publish data is alongside a research publication. The number of journals collaborating with data centers is increasing (e.g. Nature, The American Naturalist, Molecular Ecology, PNAS, PLOS), and the publication of associated data is becoming a common requirement. This is because data are acknowledged being a fundamental part of the research process and as important as discussions and conclusions derived from them. Data become publicly available, citable and uniquely identifiable via a persistent identifier (PID). Furthermore, the publication of data sets promotes transparency in the research life cycle, facilitates the verification and reproducibility of results and very likely increases your citation rate. Therefore, it is important to foster a practice, like geneticists already established with ‘Genbank’ (since 1982) which allows data sharing.
Another possibility for publishing data is to write a “data paper” describing your data and their potential usage in detail, and publish it in a designated data journal (examples of data journals: Biodiversity Data Journal, Genomics Data, Earth System Science Data). If you intend to publish data that are not connected to a research or data journal publication you can do so by publishing them directly via a data center.
Data should be published by all researchers producing data.
http://www.dcc.ac.uk/resources/how-guides/cite-datasets (Data Citation and Linking)
German Federation for Biological Data (2021). GFBio Training Materials: Data Life Cycle Fact-Sheet: Data Life Cycle: Publish. Retrieved 16 Dec 2021 from https://www.gfbio.org/training/materials/data-lifecycle/publish.