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ASAS-NANP symposium: mathematical modeling in animal nutrition—Making sense of big data and machine learning: how open-source code can advance training of animal scientists
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ASAS-NANP symposium: mathematical modeling in animal nutrition—Making sense of big data and machine learning: how open-source code can advance training of animal scientists (2023)ASAS-NANP symposium: mathematical modelin…Development of interactive biological web applications with R/Shiny (2021)Development of interactive bi…Digital open science—Teaching digital tools for reproducible and transparent research (2018)Digital open science—Teaching…Translating Big Data into Smart Data for Veterinary Epidemiology (2017)Translating Big Data into Sma…Toward standard practices for sharing computer code and programs in neuroscience (2017)Toward standard practices for…Open data and open code for big science of science studies (2014)Open data and open code for b…Business Dynamics: Systems Thinking and Modeling for a Complex World (2000)Business Dynamics: Systems Th…Little Science, Big Science (1963)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Design and Update of a Classification System: The UCSD Map of Science (2012)Introducing metaknowledge : Software for computational research in information science, network analysis, and science of science (2016)Affective computing scholarship and the rise of China: a view from 25 years of bibliometric data (2021)Corporate Social Responsibility and Marketing: A Bibliometric and Visualization Analysis of the Literature between the Years 1994 and 2020 (2022)Journal of Computational and Graphical Statistics (2014)An introduction to Docker for reproducible research (2015)Promoting an open research culture (2015)Experimenting with reproducibility: a case study of robustness in bioinformatics (2018)Reproducibility in Neuroimaging Analysis: Challenges and Solutions (2022)Big data: the management revolution. (2012)Big Data : The Management Revolution (2013)Geospatial Big Data: Challenges and Opportunities (2015)A scoping review of ‘big data’, ‘informatics’, and ‘bioinformatics’ in the animal health and veterinary medical literature (2019)A Transdisciplinary Approach Supporting the Implementation of a Big Data Project in Livestock Production: An Example From the Swiss Pig Production Industry (2019)HARKing: Hypothesizing After the Results are Known (1998)A manifesto for reproducible science (2017)Improving the trustworthiness, usefulness, and ethics of biomedical research through an innovative and comprehensive institutional initiative (2020)Open science at the science–policy interface: bringing in the evidence? (2022)Teaching open and reproducible scholarship: a critical review of the evidence base for current pedagogical methods and their outcomes (2023)System Dynamics: Systems Thinking and Modeling for a Complex World (2002)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)Artificial Intelligence and Management: The Automation–Augmentation Paradox (2021)Enabling near real time use of wildlife necropsy data: Text-mining approaches to derive interactive dashboard displays (2025)
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References

  • 2000Business Dynamics: Systems Thinking and Modeling for a Complex World9,353 cited
  • 2017Toward standard practices for sharing computer code and programs in neuroscience111 cited
  • 2018Digital open science—Teaching digital tools for reproducible and transparent research80 cited
  • 2021Development of interactive biological web applications with R/Shiny78 cited
  • 2017Translating Big Data into Smart Data for Veterinary Epidemiology71 cited
  • 2014Open data and open code for big science of science studies58 cited

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