Definition
Persistent digital identifier (PID) is a “unique long-lasting reference to a digital object” (Cousijn et al., 2021). PIDs can reference people, datasets, or papers. PIDs are a primary way to meet the first standard in the FAIR principles ensuring digital objects are Findable.
Examples of PIDs
ORCID
Open Researcher and Contributor ID, or ORCID, is a non-profit organization which aims to connect researchers to their research. Thus improving transparency and facilitating trust between researchers in the scientific community. This is a free service for researchers which provides users with a persistent digital identifier (PID).
For example, Mathias Mueller is a fairly common name in Germany. However, with a PID we can identify the correct researcher and link them with all of their work. Just like a unique finger print a PID distinguishes you from other researchers and allows you to connect your ID with your professional information including affiliations, publications, grants, and peer reviews (RDM Newsletter 14, n.d.).
DOI
Digital Object Identifier or DOI is another form of persistent identifier. Papers, articles, and published datasets may have a DOI which links these items. This makes it easier to find these digital objects online. Even if the publisher changes the DOI of the published article, dataset, etc. will not change.
Benefits of assigning PIDs
- Increase visibility
- Connects the author with the work
- You can use ORCID to login to other applications (ie. Coscine)
- Machine readable
- Adheres to FAIR principle
- Permanent link to digital object
Use cases
PIDs are seen as the first step towards making research FAIR through increasing the findability. A case study looks at the next step in this FAIRification process by linking PIDs with metadata. This will allow for linking digital resources that are assigned PIDs together. According to Cousijn and collaborators, the PID Graph establishes connections between different entities within the research landscape, thereby enabling both researchers and institutions to access new information (“Connected Research: The Potential of the PID Graph,” 2021).
Link to the FAIR data principles
Wilkinson and collaborators discuss the FAIR principles for research data management in the first formal publication of the principles, they include the rationale behind them, and some exemplar implementations in the community (“The Fair Guiding Principles for Scientific Data Management and Stewardship,” 2016).
References
- Cousijn, H., Braukmann, R., Fenner, M., Ferguson, C., van Horik, R., Lammey, R., Meadows, A., & Lambert, S. (2021). Connected Research: The Potential of the PID Graph. Patterns, 2(1), 100180. https://doi.org/10.1016/j.patter.2020.100180
- RDM Newsletter 14. Retrieved February 16, 2024, from https://www.crc1382.org/6736/
- Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., & et al. (2016). The Fair Guiding Principles for Scientific Data Management and Stewardship. Scientific Data, 3(1). https://doi.org/10.1038/sdata.2016.18