Scaling Identifiers and their Metadata to Gigascale: An Architecture to Tackle the Challenges of Volume and Variety Cover

Scaling Identifiers and their Metadata to Gigascale: An Architecture to Tackle the Challenges of Volume and Variety

Data Science Journal

Volume 22 (2023): Issue 1

By: Jens Klump , Doug Fils , Anusuriya Devaraju , Sarah Ramdeen , Jess Robertson , Lesley Wyborn and Kerstin Lehnert

Open Access

|Mar 2023

Authors

Jens Klump

jens.klump@csiro.au

Mineral Resources, CSIRO, Perth, WA

Doug Fils

dfils@oceanleadership.org

Ocean Leadership, Washington, DC

Anusuriya Devaraju

anusuriya.devaraju@csiro.au

Mineral Resources, CSIRO, Perth, WA; TERN, The University of Queensland, Brisbane, QLD

Sarah Ramdeen

sarah.ramdeen@gmail.com

Lamont-Doherty Earth Observatory, Columbia University of New York, Palisades, NY

Jess Robertson

jesse.robertson@outlook.com.au

Ministry of Business, Innovation and Employment, Wellington

Lesley Wyborn

lesley.wyborn@anu.edu.au

Australian Research Data Commons, Canberra, ACT

Kerstin Lehnert

lehnert@ldeo.columbia.edu

Lamont-Doherty Earth Observatory, Columbia University of New York, Palisades, NY

DOI: https://doi.org/10.5334/dsj-2023-005 | Journal eISSN: 1683-1470

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Language: English

Submitted on: Sep 8, 2022

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Accepted on: Dec 20, 2022

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Published on: Mar 1, 2023

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

persistent identifiers,

web architecture,

linked open data

© 2023 Jens Klump, Doug Fils, Anusuriya Devaraju, Sarah Ramdeen, Jess Robertson, Lesley Wyborn, Kerstin Lehnert, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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