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Presentation . 2025
License: CC BY
Data sources: Datacite
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REDMANE: A Lightweight Ecosystem for Research Data Management Across Organisations and Diverse Data Types #RSAA25

Authors: Mosbergen, Rowland;

REDMANE: A Lightweight Ecosystem for Research Data Management Across Organisations and Diverse Data Types #RSAA25

Abstract

Managing research data in multi-organisational, multi-omics environments is increasingly complex yet most existing systems are built for institutions, not researchers. REDMANE (REsearch Data Management & ANalysis Environment) is a lightweight, researcher-focused ecosystem that addresses this critical gap. Designed with input from over 40 interns and research staff across clinical, molecular, and data science disciplines, REDMANE replicates the usability of modern library systems for research data. It will combine a flexible data registry with ingestion tools that deliver immediate value to researchers by simplifying curation, improving discoverability, and enabling long-term data retrieval across institutions. Crucially, REDMANE highlights the growing need for international standards to support interoperability between these data portals. To unlock the full potential of federated research ecosystems, we must co-develop shared frameworks for authentication and authorisation, mapping unique identifiers between ssytems and making it easier to maintain and develop ecosystems that are fit-for-purpose. REDMANE is built with this future in mind, enabling researchers to plug into a broader, evolving network of interoperable tools and services. Unlike platform-centric tools, REDMANE is domain-agnostic and scalable—capable of supporting legacy and incoming datasets in projects in the biomedical space. Its modular architecture supports diverse data portals (e.g., Omero, cBioPortal), enabling researchers to keep large datasets locally while cataloguing and accessing them via a shared metadata layer. This architecture should also support other domains including Digital Humanities Arts and Social Sciences. By aligning technical capability with real researcher needs, REDMANE demonstrates that uptake, not just delivery, is the key to sustainable RDM. This talk will present REDMANE’s design, use cases, and early implementation feedback, and invite collaboration to grow its open-source, community-driven future. Accessible version for screen readers is here. Presenter Name: Rowland Mosbergen Bio: Rowland has 25 years of experience as a generalist in highly complex environments in the not-for-profit, private, and research sectors and has been a Research Software Engineer since 2010. Author names: Mosbergen, Rowland

Keywords

RDM, RSAA25, research data management, RSEng, research software engineer, RSE

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green