The Careers and Skills for Data-Driven Research (CaSDaR) Network+ Empowering Data Stewards for Research Excellence

Presentation by Dr Samantha Pearman-Kanza on "The Careers and Skills for Data-Driven Research (CaSDaR) Network+ Empowering Data Stewards for Research Excellence" for the joint PSDI and Digital Curation Centre Event: Research Data in the Physical Sciences: A Forum for Librarians and Research Support Professionals. Abstract: The amount of data generated by research, is growing at an exponential rate. And yet, so much of this data is unusable, due to the lack of expertise, tools, and resources for effective data management. Data Stewards are the key to bridging the gap between data generation and reuse, as they have a fundamental role that ensures the quality, accuracy, accessibility and longevity of data across the entire data lifecycle. We place great value in data, but the current investment in the time and resources to drive forward data excellence is sorely lacking, and best practice like FAIR cannot be implemented without investing in data stewards. So, this is where CaSDaR comes in! We are a brand new Network+, launching in April 2025 and our goal is to establish a diverse, inclusive, self-sustaining community of Data Stewards and to create a model for data steward support systems within research intensive institutions, thereby clarifying their role and integration within the research data lifecycle. This talk will introduce CaSDaR and our plans for the next four years, and explain how you can get involved!

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-06
DOI
https://doi.org/10.5281/zenodo.15347617
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Careers and Skills for Data-Driven Research (CaSDaR) Network+ Empowering Data Stewards for Research Excellence

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

The Careers and Skills for Data-Driven Research (CaSDaR) Network+ Empowering Data Stewards for Research Excellence

article en

Abstract

Presentation by Dr Samantha Pearman-Kanza on "The Careers and Skills for Data-Driven Research (CaSDaR) Network+ Empowering Data Stewards for Research Excellence" for the joint PSDI and Digital Curation Centre Event: Research Data in the Physical Sciences: A Forum for Librarians and Research Support Professionals. Abstract: The amount of data generated by research, is growing at an exponential rate. And yet, so much of this data is unusable, due to the lack of expertise, tools, and resources for effective data management. Data Stewards are the key to bridging the gap between data generation and reuse, as they have a fundamental role that ensures the quality, accuracy, accessibility and longevity of data across the entire data lifecycle. We place great value in data, but the current investment in the time and resources to drive forward data excellence is sorely lacking, and best practice like FAIR cannot be implemented without investing in data stewards. So, this is where CaSDaR comes in! We are a brand new Network+, launching in April 2025 and our goal is to establish a diverse, inclusive, self-sustaining community of Data Stewards and to create a model for data steward support systems within research intensive institutions, thereby clarifying their role and integration within the research data lifecycle. This talk will introduce CaSDaR and our plans for the next four years, and explain how you can get involved!

Zenodo (CERN European Organization for Nuclear Research)
University of Southampton (GB)
Openalex Percentile: Top 42%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.