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FAIRsoft—a practical implementation of FAIR principles for research software
16 references·0 citing·38 second hop
FAIRsoft—a practical implementation of FAIR principles for research software (2024)FAIRsoft—a practical implementation of FA…DOME: recommendations for supervised machine learning validation in biology (2021)DOME: recommendations for sup…Towards FAIR principles for research software (2019)Towards FAIR principles for r…Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse (2019)Research software citation in…FAIR Computational Workflows (2019)FAIR Computational WorkflowsOpen is not enough (2018)Open is not enoughBioconda: sustainable and comprehensive software distribution for the life sciences (2018)Bioconda: sustainable and com…Four simple recommendations to encourage best practices in research software (2017)Four simple recommendations t…The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update (2016)The Galaxy platform for acces…Reproducibility: A tragedy of errors (2016)Reproducibility: A tragedy of…Understanding the scientific software ecosystem and its impact: Current and future measures (2015)Understanding the scientific …Tools and data services registry: a community effort to document bioinformatics resources (2015)Tools and data services regis…Software in the scientific literature: Problems with seeing, finding, and using software mentioned in the biology literature (2015)Software in the scientific li…Rampant software errors may undermine scientific results (2015)Rampant software errors may u…Wikidata (2014)WikidataDissemination of scientific software with Galaxy ToolShed (2014)Dissemination of scientific s…Bioconductor: open software development for computational biology and bioinformatics (2004)Bioconductor: open software d…"Sources of information on specific subjects" by S.C. Bradford (1985)Bias, prevalence and kappa (1993)Free online availability substantially increases a paper's impact (2001)Assessing and tracing the outcomes and impact of research infrastructures (2016)Zenodo in the Spotlight of Traditional and New Metrics (2017)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Next-generation sequencing data interpretation: enhancing reproducibility and accessibility (2012)Genomics Virtual Laboratory: A Practical Bioinformatics Workbench for the Cloud (2015)Practical Computational Reproducibility in the Life Sciences (2017)Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities (2017)Galaxy: A platform for interactive large-scale genome analysis (2005)What does research reproducibility mean? (2016)Snakemake—a scalable bioinformatics workflow engine (2012)1,500 scientists lift the lid on reproducibility (2016)A manifesto for reproducible science (2017)The nf-core framework for community-curated bioinformatics pipelines (2020)Sustainable data analysis with Snakemake (2021)The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update (2024)Nextflow enables reproducible computational workflows (2017)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows (2020)Conceptualising fairness: three pillars for medical algorithms and health equity (2022)Applying the FAIR Principles to computational workflows (2025)BioContainers: an open-source and community-driven framework for software standardization (2017)Bayesian Analysis Reporting Guidelines (2021)Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers (2021)A large-scale study on research code quality and execution (2022)Ten Simple Rules for Reproducible Computational Research (2013)Spatial machine learning: new opportunities for regional science (2021)Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation (2023)Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024)Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)Temporal Relational Ranking for Stock Prediction (2019)Algorithmic Amplification of Politics on Twitter (2021)Text Mining Infrastructure in R (2008)A Draft Sequence of the Neandertal Genome (2010)COMPare: a prospective cohort study correcting and monitoring 58 misreported trials in real time (2019)AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance (2020)
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References

  • 2004Bioconductor: open software development for computational biology and bioinformatics12,180 cited
  • 2014Wikidata3,366 cited
  • 2016The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update2,149 cited
  • 2018Bioconda: sustainable and comprehensive software distribution for the life sciences1,652 cited
  • 2019Towards FAIR principles for research software322 cited
  • 2021DOME: recommendations for supervised machine learning validation in biology265 cited
  • 2014Dissemination of scientific software with Galaxy ToolShed257 cited
  • 2016Reproducibility: A tragedy of errors255 cited
  • 2019FAIR Computational Workflows171 cited
  • 2015Software in the scientific literature: Problems with seeing, finding, and using software mentioned in the biology literature160 cited
  • 2015Tools and data services registry: a community effort to document bioinformatics resources153 cited
  • 2017Four simple recommendations to encourage best practices in research software140 cited
  • 2018Open is not enough114 cited
  • 2015Understanding the scientific software ecosystem and its impact: Current and future measures77 cited
  • 2015Rampant software errors may undermine scientific results

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47 cited
  • 2019Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse44 cited
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