FAIR DO: RDA Recommendations & Outputs

Bibliography

[1]
“RDA/FORCE11 Software Source Code Identification WG.” https://www.rd-alliance.org/groups/rdaforce11-software-source-code-identification-wg.
[2]
“RDA WG PID Kernel Information Profile Management.” https://www.rd-alliance.org/groups/pid-kernel-information-profile-management-wg.
[3]
[4]
[5]
G. Berg-Cross, R. Ritz, and P. Wittenburg, “RDA DFT Core Terms and Model,” Research Data Alliance, Dec. 2020. [Online]. Available: https://b2share.eudat.eu/records/10d52078bf6e416588ab18e2069fc636.
[6]
M. Stocker et al., “Persistent Identification of Instruments,” Data Science Journal, vol. 19, p. 18, May 2020, doi: 10.5334/dsj-2020-018.
[7]
Research Data Alliance FAIR Data Maturity Model Working Group, “FAIR Data Maturity Model: specification and guidelines,” 2020, doi: 10.15497/RDA00050.
[8]
T. Weigel et al., “RDA Recommendation on PID Kernel Information,” 2018, doi: 10.15497/RDA00031.
[9]
Research Data Repository Interoperability WG, “Research Data Repository Interoperability WG Final Recommendations,” 2018, doi: 10.15497/RDA00025.
[10]
Data Fabric Interest Group, “Summary of Virtual Layer Recommendations,” 2018, doi: 10.15497/RDA00026.
[11]
T. Weigel et al., “Recommendation on Research Data Collections,” 2017, doi: 10.15497/RDA00022.
[12]
Research Data Repository Interoperability WG, “Research Data Repository Interoperability Primer,” 2017, doi: 10.15497/RDA00020.
[13]
T. Weigel, T. DiLauro, and T. Zastrow, “PID Information Types WG final deliverable,” 2015, doi: 10.15497/FDAA09D5-5ED0-403D-B97A-2675E1EBE786.
[14]
L. Lannom, D. Broeder, and Giridhar Manepalli, “Data Type Registries working group output,” 2015, doi: 10.15497/A5BCD108-ECC4-41BE-91A7-20112FF77458.