Harvard Data Science Review features Paper Jointly Written by RDA Dynamic Data Citation Working Group Adopters
The paper, titled “Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data” provides a summary of the RDA Dynamic Data Citation Working Group’s recommendations, describes the reference implementations for different types of data and presents a number of implementations that have been deployed in various infrastructures.
Congratulations to all involved!
Rauber, A., Gößwein, B., Zwölf, C. M., Schubert, C., Wörister, F., Duncan, J., … Parsons, M. A. (2021). Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data. Harvard Data Science Review, 3(4).
https://doi.org/10.1162/99608f92.be565013
https://hdsr.mitpress.mit.edu/pub/si7wzxxa/release/2?readingCollection=1ccd159a