CaSDaR: Careers and Skills for Data-driven Research
CaSDaR: Careers and Skills for Data-driven Research
The Careers and Skills for Data-driven Research (CaSDaR) Network+ is dedicated to enhancing the management, recognition, and reuse of research data across all academic disciplines. As research becomes increasingly data-driven, the role of Data Stewards—specialists who ensure research data is effectively managed and shared—has never been more crucial.
CaSDaR aims to bridge the gap between data generation and reuse by fostering a supportive, inclusive community where Data Stewards can thrive professionally. Through collaboration, training, and advocacy, CaSDaR is setting the standard for research data stewardship, ensuring research outputs remain accessible, sustainable, and impactful for future generations.
Please see our website (www.casdar.ac.uk) for further details.
University of Southampton
Pearman-Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Saul, Louise
d449861b-05b6-44c8-9bd3-6d44da324658
2025
Pearman-Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Saul, Louise
d449861b-05b6-44c8-9bd3-6d44da324658
Samantha Pearman-Kanza (Author),
Louise Saul (Author)
(2025)
CaSDaR: Careers and Skills for Data-driven Research
University of Southampton
Abstract
The Careers and Skills for Data-driven Research (CaSDaR) Network+ is dedicated to enhancing the management, recognition, and reuse of research data across all academic disciplines. As research becomes increasingly data-driven, the role of Data Stewards—specialists who ensure research data is effectively managed and shared—has never been more crucial.
CaSDaR aims to bridge the gap between data generation and reuse by fostering a supportive, inclusive community where Data Stewards can thrive professionally. Through collaboration, training, and advocacy, CaSDaR is setting the standard for research data stewardship, ensuring research outputs remain accessible, sustainable, and impactful for future generations.
Please see our website (www.casdar.ac.uk) for further details.
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More information
Published date: 2025
Identifiers
Local EPrints ID: 504905
URI: http://eprints.soton.ac.uk/id/eprint/504905
PURE UUID: 7ad01aff-092a-44ed-be48-dfd29fd0e9ee
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Date deposited: 22 Sep 2025 16:40
Last modified: 23 Sep 2025 02:02
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Contributors
Author:
Louise Saul
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