ArticleProceedings. Biological sciences2022
Why don't we share data and code? Perceived barriers and benefits to public archiving practices.
Article in Proceedings. Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multiple modes of data sharing can facilitate secondary use of sensitive health data for research.BMJ global health · 2023Pooled it
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- Journal research data policies in materials science.Digital discovery · 2026Review
- A Reporting Guideline for Observational Studies in Metabolomic Epidemiology: Explanation and Elaboration of the Strobe-MetEpi Checklist.Research square · 2026Article
- The Role of Data Papers in Scientific Data Dissemination and Reuse.Scientific data · 2026Article
- Open access and digital morphology data in evolutionary biology: expanding frontiers of knowledge.BMC ecology and evolution · 2026Review
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- Gromacs MetaDump: a tool for extracting GROMACS simulation metadata.Journal of cheminformatics · 2025Article
- Harnessing meta-analyses' insights in ecology and evolution research.Royal Society open science · 2025Article
- Tier-based standards for FAIR sequence data and metadata sharing in microbiome research.Nucleic acids research · 2025Article
- Collective Science to Inform Global Ocean Protections.Ecology letters · 2025Article
- EthoCRED: a framework to guide reporting and evaluation of the relevance and reliability of behavioural ecotoxicity studies.Biological reviews of the Cambridge Philosophical Society · 2025Review
- How Transparent and Reproducible Are Studies That Use Animal Models of Opioid Addiction?Addiction biology · 2025Article
- MacaqueNet: Advancing comparative behavioural research through large-scale collaboration.The Journal of animal ecology · 2025Article
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- Affording reusable data: recommendations for researchers from a data-intensive project.Scientific data · 2025Article
- Poor hypotheses and research waste in biology: learning from a theory crisis in psychology.BMC biology · 2025Review
- How will we prepare for an uncertain future? The value of open data and code for unborn generations facing climate change.Proceedings. Biological sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The biological sciences community is increasingly recognizing the value of open, reproducible and transparent research practices for science and society at large. Despite this recognition, many researchers fail to share their data and code publicly. This pattern may arise from knowledge barriers about how to archive data and code, concerns about its reuse, and misaligned career incentives. Here, we define, categorize and discuss barriers to data and code sharing that are relevant to many research fields. We explore how real and perceived barriers might be overcome or reframed in the light of the benefits relative to costs. By elucidating these barriers and the contexts in which they arise, we can take steps to mitigate them and align our actions with the goals of open science, both as individual scientists and as a scientific community.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.