ArticlePLoS computational biology2023
Ten quick tips for building FAIR workflows.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed.
- Ten quick tips to SNIFF out sustainable and secure scientific software.PLoS computational biology · 2026Article
- FAIR in practice: minimum metadata schema for bioinformatics analytics by machines.Journal of biomedical semantics · 2026Article
- Ten quick tips for using the NIH Comparative Genomics Resource.PLoS computational biology · 2026Article
- Lessons learned from implementing FAIRification workflows in diabetes research in Germany.PLOS digital health · 2026Article
- A python workflow definition for computational materials design.Digital discovery · 2025Article
- Multi-omics Quality Assessment in Personalized Medicine Through European Infrastructure for Translational Medicine (EATRIS): An Overview.Phenomics (Cham, Switzerland) · 2025Review
- Open-Source and FAIR Research Software for Proteomics.Journal of proteome research · 2025Review
- Applying the FAIR Principles to computational workflows.Scientific data · 2025Article
- Nextflow4MS-DIAL: A Reproducible Nextflow-Based Workflow for Liquid Chromatography-Mass Spectrometry Metabolomics Data Processing.Journal of the American Society for Mass Spectrometry · 2025Article
- PathoGFAIR: a collection of FAIR and adaptable (meta)genomics workflows for (foodborne) pathogens detection and tracking.GigaScience · 2025Article
- Galaxy QCxMS for straightforward semi-empirical quantum mechanical EI-MS prediction.GigaByte (Hong Kong, China) · 2025Article
- Assessing semantic interoperability in environmental sciences: variety of approaches and semantic artefacts.Scientific data · 2024Article
- BioFlow-Insight: facilitating reuse of Nextflow workflows with structure reconstruction and visualization.NAR genomics and bioinformatics · 2024Article
- BIOMERO: A scalable and extensible image analysis framework.Patterns (New York, N.Y.) · 2024Article
- Best practices for data management and sharing in experimental biomedical research.Physiological reviews · 2024Review
- Using interactive Jupyter Notebooks and BioConda for FAIR and reproducible biomolecular simulation workflows.PLoS computational biology · 2024Article
- Assessment of transparency indicators in space medicine.PloS one · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research data is accumulating rapidly and with it the challenge of fully reproducible science. As a consequence, implementation of high-quality management of scientific data has become a global priority. The FAIR (Findable, Accesible, Interoperable and Reusable) principles provide practical guidelines for maximizing the value of research data; however, processing data using workflows-systematic executions of a series of computational tools-is equally important for good data management. The FAIR principles have recently been adapted to Research Software (FAIR4RS Principles) to promote the reproducibility and reusability of any type of research software. Here, we propose a set of 10 quick tips, drafted by experienced workflow developers that will help researchers to apply FAIR4RS principles to workflows. The tips have been arranged according to the FAIR acronym, clarifying the purpose of each tip with respect to the FAIR4RS principles. Altogether, these tips can be seen as practical guidelines for workflow developers who aim to contribute to more reproducible and sustainable computational science, aiming to positively impact the open science and FAIR 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.