Empowering Early Career Researchers in Data Stewardship: A Global Initiative

The World Data System Early Career Researchers (WDS-ECR) network is eager to explore collaborative opportunities with the Research Data Alliance's Early Career and Engagement IG (RDA ECEIG). Our global network nurtures a community of emerging scientists and data stewards across varied disciplines, united by a commitment to innovative data management and open science principles. We believe in the power of partnership to amplify our efforts. This presentation will highlight how WDS-ECR's resources and initiatives can harmonize with RDA ECEIG’s goals, fostering a fertile ground for collaboration through: Interdisciplinary Networking: We aim to bridge connections between our diverse members and those within RDA ECEIG, enhancing cross-domain dialogue and collaboration. Mentorship Opportunities: By sharing strategies for successful mentorship programs, we can co-develop robust platforms for knowledge exchange and career advancement. Skill Development: Through joint webinars and training, we seek to unify our expertise in nurturing the skillsets essential for future leaders in research data management. Community Engagement: We propose creating combined social outlets that encourage informal exchanges among early career professionals, enriching both of our networks. Our goal is not just to showcase what WDS-ECR offers but also to illustrate how an alliance with RDA ECEIG could unlock new horizons for early career researchers and professionals globally. Together, we envision building a dynamic ecosystem that fosters excellence in data stewardship while empowering each member to contribute meaningfully toward resilient and inclusive research communities.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-01
DOI
https://doi.org/10.5281/zenodo.13864747
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Empowering Early Career Researchers in Data Stewardship: A Global Initiative

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

Empowering Early Career Researchers in Data Stewardship: A Global Initiative

article en

Abstract

The World Data System Early Career Researchers (WDS-ECR) network is eager to explore collaborative opportunities with the Research Data Alliance's Early Career and Engagement IG (RDA ECEIG). Our global network nurtures a community of emerging scientists and data stewards across varied disciplines, united by a commitment to innovative data management and open science principles. We believe in the power of partnership to amplify our efforts. This presentation will highlight how WDS-ECR's resources and initiatives can harmonize with RDA ECEIG’s goals, fostering a fertile ground for collaboration through: Interdisciplinary Networking: We aim to bridge connections between our diverse members and those within RDA ECEIG, enhancing cross-domain dialogue and collaboration. Mentorship Opportunities: By sharing strategies for successful mentorship programs, we can co-develop robust platforms for knowledge exchange and career advancement. Skill Development: Through joint webinars and training, we seek to unify our expertise in nurturing the skillsets essential for future leaders in research data management. Community Engagement: We propose creating combined social outlets that encourage informal exchanges among early career professionals, enriching both of our networks. Our goal is not just to showcase what WDS-ECR offers but also to illustrate how an alliance with RDA ECEIG could unlock new horizons for early career researchers and professionals globally. Together, we envision building a dynamic ecosystem that fosters excellence in data stewardship while empowering each member to contribute meaningfully toward resilient and inclusive research communities.

Zenodo (CERN European Organization for Nuclear Research)
World Data System
Partnerships for the goals
Openalex Percentile: Top 46%
Research Data Management Practices
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