"Effective data management is an important part of ensuring open access to publicly funded research data. Data management planning from the beginning of a research project helps to outline how data will be collected, formatted, described, stored and shared throughout, and beyond, the project lifecycle."
For more on Digital Object Identifiers and research discoverability see the Altmetrics Guide
When you disseminate data that you own or manage, you need to think about how you want others to re-use your data and communicate any terms and conditions that you want re-users of your data to follow. There are a number of approaches that you can take to this, from very open to reasonably restricted.
For openly accessible data, a standard open licence is the most effective way of ensuring appropriate re-use. An open licence enables you to reserve some rights as the owner of the material, but to grant re-users more rights than would be available just under copyright legislation. Adopting a standard licence is often a pre-condition to depositing in a repository or archive, but licences can also be applied to resources disseminated via the web or other means.
For more detailed information about the different licenses please see:
Monash Library Data Reuse guidelines
Ball, A. (2014). ‘How to License Research Data’. . Edinburgh: Digital Curation Centre. Available online: http://www.dcc.ac.uk/resources/how-guides
"Data citation refers to the practice of providing a reference to data in the same way as researchers routinely provide a bibliographic reference to outputs such as journal articles, reports and conference papers. Citing data is increasingly being recognised as one of the key practices leading to recognition of data as a primary research output."
Data journals publish brief articles which describe a data set(s). They are often open access and peer reviewed, and the articles can be cited.
A number of data journals also support 'altmetrics' that track the number of article views, number of downloads, and social media 'likes' and recommendations. These can be early indicators of the impact of data, before the long tail of formal citation metrics can be assessed.
Discover research data, including data studies, data sets from a wide range of international data repositories, including ANDS (Australian National Data Service), and connect them with the scientific literature to track data citation.
Other methods include:
"NHMRC encourages researchers to disseminate and share their research data through publicly accessible databases or repositories."
"As a charity, Wellcome works to ensure that the results of the research we fund are applied for the public good. This includes creating an environment that enables and incentivises researchers to maximise the value of their research outputs, including data, software and materials."
"PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception."