Electronic documents give reproducible research a new meaning
Jon F. Claerbout, Martin Karrenbach
- 发表年份
- 1992
- 引用次数
- 223
摘要
PreviousNext No AccessSEG Technical Program Expanded Abstracts 1992Electronic documents give reproducible research a new meaningAuthors: Jon F. ClaerboutMartin KarrenbachJon F. ClaerboutStanford Univ. and Martin KarrenbachStanford Univ.https://doi.org/10.1190/1.1822162 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1822162FiguresReferencesRelatedDetailsCited ByPackaging research artefacts with RO-CrateData Science, Vol. 46Reproducibility in Evolutionary ComputationACM Transactions on Evolutionary Learning and Optimization, Vol. 1, No. 4Reproducible Research in R: A Tutorial on How to Do the Same Thing More Than Once9 December 2021 | Psych, Vol. 3, No. 4Preregistration in experimental linguistics: applications, challenges, and limitations24 March 2021 | Linguistics, Vol. 59, No. 5Practical Reproducibility in Geography and Geosciences13 October 2020 | Annals of the American Association of Geographers, Vol. 111, No. 5Tool-based Support for the FAIR Principles for Control Theoretic Results: The "Automatic Control Knowledge Repository"30 June 2021 | SYSTEM THEORY, CONTROL AND COMPUTING JOURNAL, Vol. 1, No. 1Knowledge and Attitudes Among Life Scientists Toward Reproducibility Within Journal Articles: A Research Survey29 June 2021 | Frontiers in Research Metrics and Analytics, Vol. 6Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem21 May 2021 | Social Science Computer Review, Vol. 533The fundamental principles of reproducibility29 March 2021 | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 379, No. 2197Toward Long-Term and Archivable ReproducibilityComputing in Science & Engineering, Vol. 23, No. 3Principles for data analysis workflows18 March 2021 | PLOS Computational Biology, Vol. 17, No. 3Reproducible image handling and analysis22 January 2021 | The EMBO Journal, Vol. 40, No. 3A Reproducible Data Analysis Workflow11 May 2021 | Quantitative and Computational Methods in Behavioral Sciences, Vol. 1CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility30 March 2021 | F1000Research, Vol. 10CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility20 July 2021 | F1000Research, Vol. 10Reproducible Workflow8 January 2022Text as big data: Develop codes of practice for rigorous computational text analysis in energy social scienceEnergy Research & Social Science, Vol. 70"Automatic Control Knowledge Repository" – A Computational Approach for Simpler and More Robust Reproducibility of Results in Control TheoryA Survey on Collecting, Managing, and Analyzing Provenance from ScriptsACM Computing Surveys, Vol. 52, No. 3Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness20 March 2020 | BMJ, Vol. 1pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage24 January 2020 | PLOS ONE, Vol. 15, No. 1The State of Reproducible Research in Computer Science12 May 2020Reproducibility and the future of MRI research10 August 2019 | Magnetic Resonance in Medicine, Vol. 82, No. 6Towards Replication in Computational Cognitive Modeling: a Machine Learning Perspective14 August 2019 | Computational Brain & Behavior, Vol. 2, No. 3-4In-depth examination of spatiotemporal figures in open reproducible research19 October 2018 | Cartography and Geographic Information Science, Vol. 46, No. 5Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational AnalysesReproducibility by Other Means: Transparent Research ObjectsOut-of-the-Box Reproducibility: A Survey of Machine Learning Platf
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