Version: Draft 0.2/September 2017
Please cite as: DataWiz (2017): Best Practices of Data Publication. Version Draft 0.2. Available: https://datawizkb.leibniz-psychology.org/index.php/tools-and-resources/checklists-and-guidance/
|A. Legal Aspects|
|Anonymization||Share your data only if sensitive information and personal data have been removed or informed consent explicitly includes their publication.|
|Informed Consent||Re-read your informed consent: Was data sharing considered in your informed consent? Are any restrictions on data sharing imposed (those restrictions may also apply to anonymized data)?
|Third Party Rights||Consider if any third party rights apply to your data hindering you from sharing the data.
|Jurisdiction||When publishing data within a repository which does not underlie your jurisdiction, consider the consequences.
|B. Communicate your Data|
|Consider Focus of Data Publication
(What purpose does the data publication serve? Who is the target audience of the data publication?)
|Document your Variables||Variable-level documentation by means of codebooks is always necessary, as information included in codebooks (naming conventions, missing value coding, etc) is, in general, not retrievable from articles. A repository that offers a standardized description framework for variable documentation may assist you in compiling such a codebook.|
|Test your Documentation||Be aware that your own data will always seem to be “self-explaining” while you are analyzing it. A good way to test, if your data is efficiently communicated, is sending the data to a colleague not directly involved in your project. Ask this colleague to use the data as you expect your target audience to use it (e.g. replicate reported analyses), and obtain your colleague’s feedback on problems that occurred.|
|C. File Formats|
|The current format in which you are working with your data is not necessarily the format you should use for depositing the data.
If your research data incorporates special types of data, such as fMRI records or video data, you may want to consider repositories specialized in archiving those data types.
|D. Long-term Preservation|
|Storage Guarantee||Check if your repository offers long-term storage.|
|File Formats and Documentation||
|Cite your Data||Cite your data in your print publications and indicate where it can be retrieved.
|Choose Repositories that Assign DOIs||Choose a repository that assigns DOIs to its research data in order to include your data in catalogues which are based on the registration agencies’ information.|
|Self-Deposit Guidance||If you are not sure how to prepare your data choose a repository that offers guidance.|
|Further Assistance||If you need further assistance with depositing or preparing your data, choose a repository that offers support in the data submission process and/or actively curates its data.|