Publishing data has become an increasingly important aspect of scholarly publishing. Many journals -- and funders -- mandate the publication of data (where possible), in order to maximise the benefits of a particular research project to the wider scientific and research communities. There are also notable citation and other advantages for you to publish your data. This section of the Toolkit provides some general pointers on publishing your data, and/or how to present it for broader audiences.
An inherent principle of the publication of research is that others should be able to replicate and build upon the authors' published claims. Many journals now require you to make your data available without undue qualification; that is, when publishing your paper they will require you to make as much of your research data as possible available 'Open Access' (under a Creative Commons or similar license), in order to validate the conclusions of the article you are publishing, and support further research on the same subject. This emphasis on Open Data has become characteristic of many of the best scholarly journals, for example:
Other major academic publishers like Wiley and Springer have a range of data sharing policy types across their journals -- from encouraging data sharing to mandating it -- but there is a growing trend is towards the latter. Some publishers (for example Wiley) include author compliance tools for checking these requirements.
The next section of the Toolkit will cover the process of obtaining a DOI and thus 'publishing' your Data within a repository. However, some researchers may also choose to publish dedicated Data Papers.
Data journals are publications whose primary purpose is to expose datasets; some more general journals also have sections dedicated to the publication of Data Papers. The publication of a Data Paper may be considered best practice for researchers whose primary output is data, or for whom the development of new, data-driven technologies is of particular importance. The publication of Data Papers includes an element of peer review, maximizes opportunities for re-use and attracts academic accreditation for data scientists as well as front-line researchers (such papers may also be eligible for assessment as eligible research outputs under the Australian Research Council's Excellence in Research Australia (ERA) guidelines).
See the ANDS Guide on Data and Journals for more information. As the guide notes:
"While individual publisher policies vary, it's worth noting that publishing data through a data journal does not necessarily prevent the publication of data analyses and research results in a traditional journal, along with a reference and links to the data journal paper. This provides readers with access to all relevant information about a piece of research and may result in citation of both the journal article and data paper."
Check out some examples of data papers by JCU researchers in ResearchOnline@JCU!
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