Reproducibility In Biomedical Research
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Research in the Biomedical Sciences
- Author : Michael Williams,Michael Curtis,Kevin Mullane
- Publisher : Academic Press
- Release Date : 2017-10-10
- Total pages : 0
- ISBN : 0128047259
- File Size : 14,5 Mb
- Total Download : 143
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Research in the Biomedical Sciences: Transparent and Reproducible documents the widespread concerns related to reproducibility in biomedical research and provides a best practices guide to effective and transparent hypothesis generation, experimental design, reagent standardization (including validation and authentication), statistical analysis, and data reporting. The book addresses issues in the perceived value of the existing peer review process and calls for the need for improved transparency in data reporting. It reflects new guidelines for publication that include manuscript checklists, replication/reproducibility initiatives, and the potential consequences for the biomedical research community and societal health and well-being if training, mentoring, and funding of new generations of researchers and incentives for publications are not improved. This book offers real world examples, insights, and solutions to provide a thought-provoking and timely resource for all those learning about, or engaged in, performing and supervising research across the biomedical sciences.
Reproducibility and Replicability in Science
- Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Board on Research Data and Information,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Reproducibility and Replicability in Science
- Publisher : National Academies Press
- Release Date : 2019-10-20
- Total pages : 257
- ISBN : 9780309486163
- File Size : 24,7 Mb
- Total Download : 212
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One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
Enhancing Scientific Reproducibility in Biomedical Research Through Transparent Reporting
- Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,Board on Health Sciences Policy,Roundtable on Genomics and Precision Health,National Cancer Policy Forum,Forum on Neuroscience and Nervous System Disorders,Forum on Drug Discovery, Development, and Translation
- Publisher : National Academies Press
- Release Date : 2020-04-28
- Total pages : 142
- ISBN : 9780309664066
- File Size : 9,8 Mb
- Total Download : 725
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Sharing knowledge is what drives scientific progress - each new advance or innovation in biomedical research builds on previous observations. However, for experimental findings to be broadly accepted as credible by the scientific community, they must be verified by other researchers. An essential step is for researchers to report their findings in a manner that is understandable to others in the scientific community and provide sufficient information for others to validate the original results and build on them. In recent years, concern has been growing over a number of studies that have failed to replicate previous results and evidence from larger meta-analyses, which have pointed to the lack of reproducibility in biomedical research. On September 25 and 26, 2019, the National Academies of Science, Engineering, and Medicine hosted a public workshop in Washington, DC, to discuss the current state of transparency in the reporting of preclinical biomedical research and to explore opportunities for harmonizing reporting guidelines across journals and funding agencies. Convened jointly by the Forum on Drug Discovery, Development, and Translation; the Forum on Neuroscience and Nervous System Disorders; the National Cancer Policy Forum; and the Roundtable on Genomics and Precision Health, the workshop primarily focused on transparent reporting in preclinical research, but also considered lessons learned and best practices from clinical research reporting. This publication summarizes the presentation and discussion of the workshop.
Reproducibility in Biomedical Research
- Author : Erwin B. Montgomery
- Publisher : Academic Press
- Release Date : 2019-03-14
- Total pages : 356
- ISBN : 9780128176726
- File Size : 53,7 Mb
- Total Download : 447
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Reproducibility in Biomedical Research: Epistemological and Statistical Problems explores the ideas and conundrums inherent in scientific research. It explores factors of reproducibility, including logic, distinguishing productive from unproductive irreproducibility, the scientific method, and the use of statistics. In multiple examples and six detailed case studies, the book demonstrates the misuse of logic resulting in unproductive irreproducibility, allowing researchers to develop their own logic and planning abilities. Biomedical researchers, clinicians, administrators of scientific institutions and funding agencies, journal editors, philosophers of science and medicine will find the arguments and explorations a valuable addition to their libraries. Considers the meaning and purpose of reproducibility to help design research Reviews famous case studies of alleged irreproducibility to determine if these could be reproducible Provides a theoretical aspect to practical issues surrounding research design and conduct
Introduction to the Responsible Conduct of Research (rev. Ed. )
- Author : Nicholas H. Steneck
- Publisher : DIANE Publishing
- Release Date : 2009-09
- Total pages : 166
- ISBN : 9781437914566
- File Size : 19,5 Mb
- Total Download : 765
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Download Introduction to the Responsible Conduct of Research (rev. Ed. ) in PDF, Epub, and Kindle
This report seeks to supplement existing resources by making a comprehensive overview of basic rules of the road for responsible research available to all U.S. Public Health Service-funded researchers. It has been prepared with the needs of small and mid-size research and institutions and beginning researchers in mind, but it may be used in other settings. Illustrations.
Rigor Mortis
- Author : Richard Harris
- Publisher : Basic Books
- Release Date : 2018-05-01
- Total pages : 0
- ISBN : 154164414X
- File Size : 15,5 Mb
- Total Download : 454
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An essential book to understanding whether the new miracle cure is good science or simply too good to be true American taxpayers spend $30 billion annually funding biomedical research, but over half of these studies can't be replicated due to poor experimental design, improper methods, and sloppy statistics. Bad science doesn't just hold back medical progress, it can sign the equivalent of a death sentence for terminal patients. In Rigor Mortis, Richard Harris explores these urgent issues with vivid anecdotes, personal stories, and interviews with the top biomedical researchers. We need to fix our dysfunctional biomedical system--before it's too late.
Experimental Design for Laboratory Biologists
- Author : Stanley E. Lazic
- Publisher : Cambridge University Press
- Release Date : 2016-12-08
- Total pages : 429
- ISBN : 9781107074293
- File Size : 28,6 Mb
- Total Download : 437
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Download Experimental Design for Laboratory Biologists in PDF, Epub, and Kindle
A guide to designing lab-based biological experiments that have low bias, high precision and widely applicable results.
The Practice of Reproducible Research
- Author : Justin Kitzes,Daniel Turek,Fatma Deniz
- Publisher : Univ of California Press
- Release Date : 2018
- Total pages : 364
- ISBN : 9780520294752
- File Size : 9,6 Mb
- Total Download : 797
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The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. In each of the thirty-one case studies in this volume, the author or team describes the workflow that they used to complete a real-world research project. Authors highlight how they utilized particular tools, ideas, and practices to support reproducibility, emphasizing the very practical how, rather than the why or what, of conducting reproducible research. Part 1 provides an accessible introduction to reproducible research, a basic reproducible research project template, and a synthesis of lessons learned from across the thirty-one case studies. Parts 2 and 3 focus on the case studies themselves. The Practice of Reproducible Research is an invaluable resource for students and researchers who wish to better understand the practice of data-intensive sciences and learn how to make their own research more reproducible.
Good Research Practice in Non-Clinical Pharmacology and Biomedicine
- Author : Anton Bespalov,Martin C. Michel,Thomas Steckler
- Publisher : Springer Nature
- Release Date : 2020-01-01
- Total pages : 424
- ISBN : 9783030336561
- File Size : 24,6 Mb
- Total Download : 324
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This open access book, published under a CC BY 4.0 license in the Pubmed indexed book series Handbook of Experimental Pharmacology, provides up-to-date information on best practice to improve experimental design and quality of research in non-clinical pharmacology and biomedicine.
Experimental Design and Reproducibility in Preclinical Animal Studies
- Author : José M. Sánchez Morgado,Aurora Brønstad
- Publisher : Springer
- Release Date : 2022-09-15
- Total pages : 0
- ISBN : 3030661490
- File Size : 29,7 Mb
- Total Download : 126
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This highly-readable text provides grounds on how to plan and conduct animal experiments that can be reproduced by others. The book touches on factors that may impact the reproducibility of animal studies including: the animal genetic background, the animal microbial flora, environmental and physiological variables affecting the animal, animal welfare, statistics and experimental design, systematic reviews of animal studies, and the publishing process. The book addresses advanced undergraduates, graduate students and all scientists working with animals.
Research in the Biomedical Sciences
- Author : Michael Williams,Michael Curtis,Kevin Mullane
- Publisher : Academic Press
- Release Date : 2017-10-20
- Total pages : 382
- ISBN : 9780128047262
- File Size : 41,6 Mb
- Total Download : 301
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Download Research in the Biomedical Sciences in PDF, Epub, and Kindle
Research in the Biomedical Sciences: Transparent and Reproducible documents the widespread concerns related to reproducibility in biomedical research and provides a best practices guide to effective and transparent hypothesis generation, experimental design, reagent standardization (including validation and authentication), statistical analysis, and data reporting. The book addresses issues in the perceived value of the existing peer review process and calls for the need for improved transparency in data reporting. It reflects new guidelines for publication that include manuscript checklists, replication/reproducibility initiatives, and the potential consequences for the biomedical research community and societal health and well-being if training, mentoring, and funding of new generations of researchers and incentives for publications are not improved. This book offers real world examples, insights, and solutions to provide a thought-provoking and timely resource for all those learning about, or engaged in, performing and supervising research across the biomedical sciences. Provides a “big picture perspective on the scope of reproducibility issues and covers initiatives that have potential as effective solutions Offers real-world research context for transparent, reproducible experimental design, execution and reporting of biomedical research with the potential to address aspects of the translational gap in drug discovery Highlights the importance of reproducibility and the necessary changes in biomedical and pharmaceutical research training and incentives to ensure sustainability
Interpreting Biomedical Science
- Author : Ülo Maiväli
- Publisher : Academic Press
- Release Date : 2015-06-12
- Total pages : 416
- ISBN : 9780124199569
- File Size : 15,5 Mb
- Total Download : 248
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Interpreting Biomedical Science: Experiment, Evidence, and Belief discusses what can go wrong in biological science, providing an unbiased view and cohesive understanding of scientific methods, statistics, data interpretation, and scientific ethics that are illustrated with practical examples and real-life applications. Casting a wide net, the reader is exposed to scientific problems and solutions through informed perspectives from history, philosophy, sociology, and the social psychology of science. The book shows the differences and similarities between disciplines and different eras and illustrates the concept that while sound methodology is necessary for the progress of science, we cannot succeed without a right culture of doing things. Features theoretical concepts accompanied by examples from biological literature Contains an introduction to various methods, with an emphasis on statistical hypothesis testing Presents a clear argument that ties the motivations and ethics of individual scientists to the success of their science Provides recommendations on how to safeguard against scientific misconduct, fraud, and retractions Arms young scientists with practical knowledge that they can use every day
Advancing Disease Modeling in Animal-Based Research in Support of Precision Medicine
- Author : National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Institute for Laboratory Animal Research,Roundtable on Science and Welfare in Laboratory Animal Use
- Publisher : National Academies Press
- Release Date : 2018-06-29
- Total pages : 139
- ISBN : 9780309471169
- File Size : 49,9 Mb
- Total Download : 878
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Precision medicine is focused on the individual and will require the rapid and accurate identification and prioritization of causative factors of disease. To move forward and accelerate the delivery of the anticipated benefits of precision medicine, developing predictable, reproducible, and reliable animal models will be essential. In order to explore the topic of animal-based research and its relevance to precision medicine, the National Academies of Sciences, Engineering, and Medicine convened a 2-day workshop on October 5 and 6, 2017. The workshop was designed to focus on the development, implementation, and interpretation of model organisms to advance and accelerate the field of precision medicine. Participants examined the extent to which next-generation animal models, designed using patient data and phenotyping platforms targeted to reveal and inform disease mechanisms, will be essential to the successful implementation of precision medicine. This publication summarizes the presentations and discussions from the workshop.
Implementing Reproducible Research
- Author : Victoria Stodden,Friedrich Leisch,Roger D. Peng
- Publisher : CRC Press
- Release Date : 2014-04-14
- Total pages : 450
- ISBN : 9781466561595
- File Size : 51,8 Mb
- Total Download : 893
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In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.
Fostering Integrity in Research
- Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Committee on Responsible Science
- Publisher : National Academies Press
- Release Date : 2018-01-13
- Total pages : 327
- ISBN : 9780309391252
- File Size : 34,9 Mb
- Total Download : 639
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The integrity of knowledge that emerges from research is based on individual and collective adherence to core values of objectivity, honesty, openness, fairness, accountability, and stewardship. Integrity in science means that the organizations in which research is conducted encourage those involved to exemplify these values in every step of the research process. Understanding the dynamics that support â€" or distort â€" practices that uphold the integrity of research by all participants ensures that the research enterprise advances knowledge. The 1992 report Responsible Science: Ensuring the Integrity of the Research Process evaluated issues related to scientific responsibility and the conduct of research. It provided a valuable service in describing and analyzing a very complicated set of issues, and has served as a crucial basis for thinking about research integrity for more than two decades. However, as experience has accumulated with various forms of research misconduct, detrimental research practices, and other forms of misconduct, as subsequent empirical research has revealed more about the nature of scientific misconduct, and because technological and social changes have altered the environment in which science is conducted, it is clear that the framework established more than two decades ago needs to be updated. Responsible Science served as a valuable benchmark to set the context for this most recent analysis and to help guide the committee's thought process. Fostering Integrity in Research identifies best practices in research and recommends practical options for discouraging and addressing research misconduct and detrimental research practices.
Metabolomics for Biomedical Research
- Author : Jerzy Adamski
- Publisher : Academic Press
- Release Date : 2020-03-20
- Total pages : 266
- ISBN : 9780128127858
- File Size : 28,6 Mb
- Total Download : 358
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Metabolomics for Biomedical Research brings together recent progress on study design, analytics, biostatistics and bioinformatics for the success of metabolomics research. Metabolomics represents a very interdisciplinary research prominent in the functional analyses of living systems; hence, this book focuses on translation and medical aspects. The book discusses topics such as biomarkers and their requirements to be used in medical research, with the parameters and approaches on how to validate their quality; and animal models and other approaches, as stem cells and organoid culture. Additionally, it explains how metabolomics may be applied in prediction of individual response to drug or disease progression. This book is a valuable source for researchers on systems biology and other members of biomedical field interested in metabolism-oriented studies for medical research. Focuses on metabolomics in translational and medical research Provides basics for, and concepts of, contemporary translational personalized medicine research with metabolomics Brings the major recent progresses on design, analytics, biostatistics and bioinformatics relating to the success of metabolomics research
Implementing Reproducible Research
- Author : Victoria Stodden,Friedrich Leisch,Roger D. Peng
- Publisher : CRC Press
- Release Date : 2018-12-14
- Total pages : 448
- ISBN : 9781315362762
- File Size : 34,5 Mb
- Total Download : 467
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Download Implementing Reproducible Research in PDF, Epub, and Kindle
In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.
Towards Bayesian Model-Based Demography
- Author : Jakub Bijak
- Publisher : Springer Nature
- Release Date : 2021-12-09
- Total pages : 277
- ISBN : 9783030830397
- File Size : 53,8 Mb
- Total Download : 207
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This open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. It offers a unique and novel methodology for creating empirically grounded agent-based models of international migration – one of the most uncertain population processes and a top-priority policy area. The book discusses in detail the process of building a simulation model of migration, based on a population of intelligent, cognitive agents, their networks and institutions, all interacting with one another. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning. Principles of uncertainty quantification are used to devise innovative computer-based simulations, and to learn about modelling the simulated individuals and the way they make decisions. The identified knowledge gaps are subsequently filled with information from dedicated laboratory experiments on cognitive aspects of human decision-making under uncertainty. In this way, the models are built iteratively, from the bottom up, filling an important epistemological gap in migration studies, and social sciences more broadly.
Basic Science Methods for Clinical Researchers
- Author : Morteza Jalali,Francesca Yvonne Louise Saldanha,Mehdi Jalali
- Publisher : Academic Press
- Release Date : 2017-03-31
- Total pages : 382
- ISBN : 9780128030783
- File Size : 52,7 Mb
- Total Download : 363
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Basic Science Methods for Clinical Researchers addresses the specific challenges faced by clinicians without a conventional science background. The aim of the book is to introduce the reader to core experimental methods commonly used to answer questions in basic science research and to outline their relative strengths and limitations in generating conclusive data. This book will be a vital companion for clinicians undertaking laboratory-based science. It will support clinicians in the pursuit of their academic interests and in making an original contribution to their chosen field. In doing so, it will facilitate the development of tomorrow’s clinician scientists and future leaders in discovery science. Serves as a helpful guide for clinical researchers who lack a conventional science background Organized around research themes pertaining to key biological molecules, from genes, to proteins, cells, and model organisms Features protocols, techniques for troubleshooting common problems, and an explanation of the advantages and limitations of a technique in generating conclusive data Appendices provide resources for practical research methodology, including legal frameworks for using stem cells and animals in the laboratory, ethical considerations, and good laboratory practice (GLP)
VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016
- Author : Isnardo Torres,John Bustamante,Daniel A. Sierra
- Publisher : Springer
- Release Date : 2017-04-05
- Total pages : 773
- ISBN : 9789811040863
- File Size : 9,9 Mb
- Total Download : 772
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Download VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016 in PDF, Epub, and Kindle
This volume presents the proceedings of the CLAIB 2016, held in Bucaramanga, Santander, Colombia, 26, 27 & 28 October 2016. The proceedings, presented by the Regional Council of Biomedical Engineering for Latin America (CORAL), offer research findings, experiences and activities between institutions and universities to develop Bioengineering, Biomedical Engineering and related sciences. The conferences of the American Congress of Biomedical Engineering are sponsored by the International Federation for Medical and Biological Engineering (IFMBE), Society for Engineering in Biology and Medicine (EMBS) and the Pan American Health Organization (PAHO), among other organizations and international agencies to bring together scientists, academics and biomedical engineers in Latin America and other continents in an environment conducive to exchange and professional growth.
Translational Systems Biology
- Author : Yoram Vodovotz,Gary An
- Publisher : Elsevier
- Release Date : 2014-10-08
- Total pages : 178
- ISBN : 9780123978905
- File Size : 47,9 Mb
- Total Download : 912
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Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money’s worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplines Establishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investment Guides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams