Data Management and Sharing
In order for your data and code o be reusable, it needs to have a license associated with it letting others know what they can and cannot do with it. Most often, the repository that you deposit into will assign one for you.
Licenses for Your Research
Creative Commons (choose a license for your data)
When sharing your research data, Creative Commons license is often chosen by researchers. Use their online tool to select a license for your data before sharing publicly.
choosealicense.com (choose a license for your software)
A simple tool that guides the user to pick an appropriate open source license for your software.
Johns Hopkins Technology Ventures
The JH Technology Ventures (JHTV) strives to support its faculty and employees in securing commercial development of intellectual and other property resulting from their research so that the benefits of that research may reach society at the earliest opportunity.
Sheridan Libraries’ LibGuide About Copyright
A Sheridan Libraries’ LibGuide about copyright: What is copyright? Copyright for teaching faculty and students, tutorials and resources about copyright.
Citations for research data are important both for giving researchers proper credit for shared research data and for facilitating references to datasets in publications. One advantage of depositing your data into a data repository or archive is your data often receives a unique identifier (e.g., DOI, like those for journal articles) that is permanently associated with that data to facilitate proper citation. Also, these data repositories often create and display a proper data citation so users know exactly how to cite the downloaded data. Although formal data citation formats are emerging, a number of groups have established guidelines. In general, they contain a title, author, date, distributor, version and locator/identifier, but other citation elements are possible such as release date and resource type. Below is an examples of a data citation from the Johns Hopkins Research Data Repository:
|Yang, Christopher S.; Cowan, Noah J.; Haith, Adrian M., 2022, "Data, code and supplementary figures associated with the publication: Control becomes habitual early on when learning a novel motor skill", https://doi.org/10.7281/T1/FWDYPW, Johns Hopkins Research Data Repository, V1.|
For more information on data citation, please see
- DataCite: Overview of why citation is important and a recommended format for data citation
- How to Cite Datasets and Link to Publications: The Digital Curation Centre’s guide on data citation including the principles and elements of data citation.
- Citing Data and Statistics: Sheridan Libraries guide on citing data.
Need a DOI and plan to self-archive? Johns Hopkins Data Services provides Digital Object Identifier (DOI) services for JHU affiliates.