Scaling Identifiers and their Metadata to Gigascale: An Architecture to Tackle the Challenges of Volume and Variety
- DOI
- 10.5334/dsj-2023-005
- Published
- 2023
- Container
- Data Science Journal
- Publisher
- Ubiquity Press, Ltd.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5334/dsj-2023-005,
title = {Scaling Identifiers and their Metadata to Gigascale: An Architecture to Tackle the Challenges of Volume and Variety},
author = {Jens Klump and Doug Fils and Anusuriya Devaraju and Sarah Ramdeen and Jess Robertson and Lesley Wyborn and Kerstin Lehnert},
year = {2023},
journal = {Data Science Journal},
doi = {10.5334/dsj-2023-005},
url = {https://doi.org/10.5334/dsj-2023-005}
}RIS
TY - JOUR TI - Scaling Identifiers and their Metadata to Gigascale: An Architecture to Tackle the Challenges of Volume and Variety AU - Jens Klump AU - Doug Fils AU - Anusuriya Devaraju AU - Sarah Ramdeen AU - Jess Robertson AU - Lesley Wyborn AU - Kerstin Lehnert PY - 2023 JO - Data Science Journal DO - 10.5334/dsj-2023-005 UR - https://doi.org/10.5334/dsj-2023-005 ER -
APA
Klump, J., Fils, D., Devaraju, A., Ramdeen, S., Robertson, J., Wyborn, L., & Lehnert, K. (2023). Scaling Identifiers and their Metadata to Gigascale: An Architecture to Tackle the Challenges of Volume and Variety. Data Science Journal. https://doi.org/10.5334/dsj-2023-005
Source records
- crossref · retrieved 2026-11-09T16:55:05.758Z