Have a personal or library account? Click to login
Digital Objects – FAIR Digital Objects: Which Services Are Required? Cover

Digital Objects – FAIR Digital Objects: Which Services Are Required?

Open Access
|Apr 2020

References

  1. Berg-Cross, G, Ritz, R and Wittenburg, P. 2015. Core Term Definitions. In: Data Foundation and Terminology Work Group Products. DOI: 10.15497/06825049-8CA4-40BD-BCAF-DE9F0EA2FADF
  2. ePIC. 2019. ePIC Persistent Identifiers for eResearch. Available at http://dtr.pidconsortium.net/ [Last accessed 9 December 2019].
  3. European Commission: Directorate-General for Research and Innovation. 2018. Turning FAIR into reality: Final report and action plan from the European Commission expert group on FAIR data. DOI: 10.2777/1524
  4. GEDE. 2019. Group of European Data Experts. Available at https://rd-alliance.org/group/gede-group-european-data-experts-rda/wiki/gede-digital-object-topic-group [Last accessed 9 December 2019].
  5. Handle. 2019. The Handle System. Available at http://www.handle.net [Last accessed 9 December 2019].
  6. Kahn, R and Wilensky, R. 2006. A framework for distributed digital object services. Int. J. on Digital Libraries, 6: 115123. DOI: 10.1007/s00799-005-0128-x
  7. Klein, M, Van de Sompel, H, Sanderson, R, Shankar, H, Balakireva, L, Zhou, K and Tobin, R. 2014. Scholarly Context Not Found: One in Five Articles Suffers from Reference Rot. PLoS ONE, 9(12): e115253. DOI: 10.1371/journal.pone.0115253
  8. Lannom, L, Broeder, D and Manepalli, G. 2015. RDA Data Type Registries Working Group Output. DOI: 10.15497/A5BCD108-ECC4-41BE-91A7-20112FF77458
  9. RDA. 2019. Research Data Alliance. Available at https://rd-alliance.org [Last accessed 9 December 2019].
  10. RDA Europe. 2019. Research Data Alliance – Europe. Available at https://www.rd-alliance.org/rda-europe [Last accessed 9 December 2019].
  11. Schultes, E and Wittenburg, P. 2018. FAIR Principles and Digital Objects: Accelerating Convergence on a Data Infrastructure. In: Manolopoulos, Y and Stupnikov, S (eds.), Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2018. Communications in Computer and Information Science, 1003. Cham: Springer. DOI: 10.1007/978-3-030-23584-0
  12. Schwardmann, U. 2016. Automated schema extraction for PID information types. 2016 IEEE International Conference on Big Data. PID:21.11101/0000-0002-A987-7. DOI: 10.1109/BigData.2016.7840957
  13. Weigel, T, Almas, B, Baumgardt, F, Zastrow, T, Schwardmann, U, Hellström, M, Quinteros, J and Fleischer, D. 2017. Recommendation on Research Data Collections, RDA. DOI: 10.15497/RDA00022
  14. Weigel, T, Plale, B, Parsons, M, Zhou, G, Luo, Y, Schwardmann, U, Quick, R, Hellström, M and Kurakawa, K. 2018. RDA Recommendation on PID Kernel Information (Version 1), RDA. DOI: 10.15497/RDA00031
  15. Weigel, T, Schwardmann, U, Klump, J, Bendoukha, S and Quick, R. 2020. Making data and workflows findable for machines. Data Intelligence, 2: 4046. DOI: 10.1162/dint_a_00026
  16. Wilkinson, MD, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3. DOI: 10.1038/sdata.2016.18
Language: English
Submitted on: Dec 13, 2019
|
Accepted on: Mar 9, 2020
|
Published on: Apr 1, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Ulrich Schwardmann, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.