Open data is data made available to the public free of financial and technical access barriers. Like open access publications, open data can be published using a variety of platforms, repositories, and methods and there are a variety of ways that you can retain ownership, control reuse, and track citations of your data.
In order for data to be discoverable, useful, and available long term, good open data should follow certain principles.
Data should be presented in a standard, structured format
Descriptive metadata and documentation should accompany datasets to help others find and use it
Data should be linked, traceable, and available long term, providing transparency about the source of the information and reliability for citation and future use
Sharing data in addition to published results increases transparency and reproducibility in research. Amid concerns about the quality of research in a rapidly publishing scholarly record, having access to the data that scholars used to experiment and make their findings can help assure us of the underlying quality of the research project and allow us to reproduce and build on their results.
As an aspect of information equity, sharing data can benefit researchers who lack funding or resources to access expensive datasets or conduct their own research.
For researchers sharing data alongside or in addition to digital projects or written scholarly outputs offers an additional publishing opportunity and may provide greater research impacts through citations of the dataset or report. Open data publishing may also help authors to find and attract collaborators who are conducting research on similar topics, or to combine and increase useful datasets to the benefit of the community at large.
In many cases, yes, since open data has been shared for the benefit of other researchers, students, and educators. However, like all questions about reusing other people’s research outputs, this is always determined on a case by case basis.
Some things to consider:
Data is not copyrightable, since it is considered factual. Therefore, data are not subject to the same copyright protections that control the use of other kinds of intellectual property. Even if the open data you find is not subject to copyright, the creators may have requests, like citation or attribution, which we should comply with to the best of our ability.
Although data is not copyrightable, certain databases, reports, and other presentations of data may be copyrightable, so the format in which you are viewing or using the data is important in understanding what kinds of restrictions you will be subject to if you would like to reuse it.
Although data is not copyrightable, it can still be owned. If you encounter data that has been accessed through a paid database, or is otherwise access-restricted, you should assume that this data will need to be licensed or that you will need to seek permission from the owner. The owner may be the original researcher, a lab or institution, such as a university, or a commercial entity, like a company or a data licensing firm.
