The immortal life of poorly managed data: technical debt in registry-based research

Technical debt refers to inefficiencies caused by prioritizing quick fixes over best practices in data management and processing. This poster highlights the negative consequences of technical debt in registry-based, medical research and outlines key points that data managers and researchers can use avoid technical debt in their own projects. This poster was created for researchers at the Norwegian Institute of Public health. However, our guidance is applicable to many research disciplines. A curated list of resources to help you avoid technical debt and improve your data management skills can be found at https://github.com/tsurudak/technical-debt

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-07
DOI
https://doi.org/10.5281/zenodo.15040399
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00
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article

The immortal life of poorly managed data: technical debt in registry-based research

Zenodo (CERN European Organization for Nuclear Research)
Distributed systems and fault tolerance
article

The immortal life of poorly managed data: technical debt in registry-based research

article en

Abstract

Technical debt refers to inefficiencies caused by prioritizing quick fixes over best practices in data management and processing. This poster highlights the negative consequences of technical debt in registry-based, medical research and outlines key points that data managers and researchers can use avoid technical debt in their own projects. This poster was created for researchers at the Norwegian Institute of Public health. However, our guidance is applicable to many research disciplines. A curated list of resources to help you avoid technical debt and improve your data management skills can be found at https://github.com/tsurudak/technical-debt

Zenodo (CERN European Organization for Nuclear Research)
Norwegian Institute of Public Health (NO), University of Oslo (NO), Cancer Registry of Norway (NO)
Openalex Percentile: Top 49%
Distributed systems and fault tolerance
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