Research Data Management Practices

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Moved, week to 28 Oct 2026: 0
Papers in 60 days: 8

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Community needs for FAIR pathogen data: a cross-sectional survey of infectious-disease researchers and educators
bioRxiv · 28 Oct 2026 · Preprint
In a convenience survey of 136 infectious-disease researchers, educators, and related stakeholders, structural constraints to FAIR pathogen data reuse dominate, with limited funding (74%) leading barriers.
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https://jclub.com.au/a/10.64898/2026.04.14.718420
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TAFFISH: shell-native command-level reproducibility for bioinformatics
bioRxiv · 26 Oct 2026 · Preprint
TAFFISH packages shell command calls and lightweight shell flows into installable, versioned, inspectable executable units to enable command-level reproducibility.
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https://jclub.com.au/a/10.1101/2025.09.15.672424
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msmu: a computational framework for provenance-aware mass spectrometry-based proteomics analysis
bioRxiv · 22 Oct 2026 · Preprint
msmu enables exact, provenance-verified replay of post-search proteomics processing, reproducing the original protein inference map with Jaccard indices of 1 across macOS and Debian.
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https://jclub.com.au/a/10.64898/2026.01.07.698308
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AI-assisted scoping review of code sharing in clinical prediction model research.
Nature Medicine · 9 Oct 2026 · Journal Article
Only 12.2% of 3,967 clinical prediction model articles include code-sharing statements, with significant variation across journals and countries.
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https://jclub.com.au/a/42855584
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Correcting and georeferencing natural history occurrence records with calibrated uncertainty
bioRxiv · 2 Oct 2026 · Preprint
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https://jclub.com.au/a/10.64898/2026.10.01.755955
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Mapping long-term soil organic carbon stocks across the conterminous United States with machine learning.
Environmental research · 15 Sept 2026 · Journal Article
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https://jclub.com.au/a/42468762
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Challenges in the Computational Reproducibility of Linear Regression Analyses: An Empirical Study
medRxiv · 6 Sept 2026 · Preprint
Only 8 of 20 PLOS ONE health research papers (2019) reporting linear regression were computationally reproducible, with variable matching and missing details blocking replication.
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https://jclub.com.au/a/10.64898/2026.04.07.26350286
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Sizing up the benefits of clinical trial data sharing.
BMJ · 2 Sept 2026 · Editorial
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https://jclub.com.au/a/42686362
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