Recognition
All new users of shared data must appropriately acknowledge the original study in any reported or published findings. The reward system needs to include all those who create value – the scientists, analysts, informaticians, data managers and others.
Requirements
R19. Studies promote appropriate acknowledgement of the significant contributions of all parties to creating new value through data-sharing.
Expectations
1. Data-sharing agreements specify the criteria for co-authorship, consistent with established community practice.
2. Study informaticians, statisticians and data managers and others who play a key role in enabling data-sharing and facilitating successful use of shared datasets, including through the development of standards and tools taken up by others, are recognised appropriately.
Further good practice
1. Digital Object Identifiers (DOIs) to reference datasets uniquely might prove a useful method of finding study citations within publications. Information on DOIs is available from DataCite.
Resources
- Vitae Researcher Development Framework
- The Digital Curation Centre have guidance on Data Citation and Linking
- RCUK information on Open Access
- MRC Good Research Practice - The principles of good research practice (that all MRC-funded scientists are required to follow as a condition of their funding) provides guidance on data storage and back-up, the retention of data, the reporting of findings and the acknowledgement of contributors.