Getting credit for shaing datasets is similar to getting credit for publishing an article. You should cite other peoples data and they should cite your data. Most standard citation styles provide guidelines. Make it easy for them by providing a suggested citation. As well, look for data repositories that 'stamp' your data with a persistent and unique identifier, such as a URL or Digital Object Identifier (DOI). DOIs allow software programs to automatically track your dataset, which increases the potential of getting proper credit.
Sharing data can:
Examine repositories early and consult colleagues on their data sharing practices.Questions to ask when choosing a data repository:
A few data repositories boast the Data Seal of Approval by the Data Archiving and Networked Services. As this field grows, more certification processes will enable researchers to easily identify repositories that meet their needs.
The most comprehensive index of data repositories from around the world.
Contact Data Services Team or the Scholarly Sharing Strategist for information on depositing datasets in the Knowledge Bank.