Enhancing Scientific Reproducibility in Biomedical Research Through Transparent Reporting

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  • Author : National Academies of Sciences, Engineering, and Medicine
  • Publisher : National Academies Press
  • Pages : 142 pages
  • ISBN : 0309663490
  • Rating : /5 from reviews
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Download or Read online Enhancing Scientific Reproducibility in Biomedical Research Through Transparent Reporting full in PDF, ePub and kindle. this book written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press which was released on 28 May 2020 with total page 142 pages. We cannot guarantee that Enhancing Scientific Reproducibility in Biomedical Research Through Transparent Reporting book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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.

Enhancing Scientific Reproducibility in Biomedical Research Through Transparent Reporting

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 : 28 May 2020
GET THIS BOOK Enhancing Scientific Reproducibility in Biomedical Research Through Transparent Reporting

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

Reproducibility in Biomedical Research

Reproducibility in Biomedical Research
  • Author : Erwin B. Montgomery
  • Publisher : Academic Press
  • Release : 15 March 2019
GET THIS BOOK Reproducibility in Biomedical Research

Reproducibility in Biomedical Research explores the ideas and conundrums inherent in scientific research. Reproducibility is a significant concern within biomedical research. How can any biomedical researcher be sure her or his research will not be found reproducible or been compromised by the potentially irreproducible work of other scientists on which she or he depends? Within this concern lies the question of multiple types of reproducibility and how research becomes irreproducible. Contributing factors have often been confined to considerations of fraud,

Research in the Biomedical Sciences

Research in the Biomedical Sciences
  • Author : Michael Williams,Michael Curtis,Kevin Mullane
  • Publisher : Academic Press
  • Release : 20 October 2017
GET THIS BOOK Research in the Biomedical Sciences

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

Reproducibility in Biomedical Research

Reproducibility in Biomedical Research
  • Author : Erwin B. Montgomery
  • Publisher : Academic Press
  • Release : 14 March 2019
GET THIS BOOK Reproducibility in Biomedical Research

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

Reproducibility in A I for Biomedical Research an Application to Parkinson s Disease

Reproducibility in A I  for Biomedical Research  an Application to Parkinson s Disease
  • Author : Christian Lee McDaniel
  • Publisher : Unknown
  • Release : 24 January 2022
GET THIS BOOK Reproducibility in A I for Biomedical Research an Application to Parkinson s Disease

Deep learning-based data analysis techniques have found many uses in biomedical re- search. Recent expansion of open source databases and computational tools has fostered distributed and explorative research. Under these conditions, reproducibil- ity and experimental rigor must be ensured. Developing explicit analysis pipelines exposes the scientific process and yields reproducible results. In this thesis, we look at the case of deep learning-based data analysis for Parkinson's disease (PD) research. We develop end-to-end pipelines in two PD-related fields: accelerometer data analysis

Interpreting Biomedical Science

Interpreting Biomedical Science
  • Author : Ülo Maiväli
  • Publisher : Academic Press
  • Release : 12 June 2015
GET THIS BOOK Interpreting Biomedical Science

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

MEDINFO 2019 Health and Wellbeing e Networks for All

MEDINFO 2019  Health and Wellbeing e Networks for All
  • Author : L. Ohno-Machado,B. Séroussi
  • Publisher : IOS Press
  • Release : 12 November 2019
GET THIS BOOK MEDINFO 2019 Health and Wellbeing e Networks for All

Combining and integrating cross-institutional data remains a challenge for both researchers and those involved in patient care. Patient-generated data can contribute precious information to healthcare professionals by enabling monitoring under normal life conditions and also helping patients play a more active role in their own care. This book presents the proceedings of MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, held in Lyon, France, from 25 to 30 August 2019. The theme of this year’s conference was ‘Health and Wellbeing:

Career Advice for Young Scientists in Biomedical Research

Career Advice for Young Scientists in Biomedical Research
  • Author : Béla Z. Schmidt
  • Publisher : Springer Nature
  • Release : 02 December 2021
GET THIS BOOK Career Advice for Young Scientists in Biomedical Research

Pursuing a career in biomedical research can be daunting, considering the stiffer competition and uncertain career prospects in academia. This book summarizes career advice gathered during in-depth interviews with 106 biomedical scientists who lead their own laboratories. The participating principal investigators are from 44 research institutions in 11 countries. This book is unique in that it provides a glimpse into the mindset of principal investigators. Here, the reader will learn about common thought patterns and values, as well as the range of opinions

Experimental Design for Laboratory Biologists

Experimental Design for Laboratory Biologists
  • Author : Stanley E. Lazic
  • Publisher : Cambridge University Press
  • Release : 08 December 2016
GET THIS BOOK Experimental Design for Laboratory Biologists

Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. It demonstrates how to control biological and technical factors that can introduce bias or add noise, and covers rarely discussed topics such as graphical

Reproducible Research in Pattern Recognition

Reproducible Research in Pattern Recognition
  • Author : Bertrand Kerautret,Miguel Colom,Pascal Monasse
  • Publisher : Springer
  • Release : 04 April 2017
GET THIS BOOK Reproducible Research in Pattern Recognition

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Reproducible Research in Pattern Recognition, RRPR 2016, held in Cancún, Mexico, in December 2016. The 12 revised full papers, among them 2 invited talks, presented were carefully reviewed and selected from 16 submissions. They focus on pattern recognition algorithms; reproducible research frameworks; reproducible research results, previous works on reproducible research.

Reproducibility

Reproducibility
  • Author : Edo D. Pellizzari,Kathleen N. Lohr,Alan Blatecky,Darryl V. Creel
  • Publisher : RTI Press
  • Release : 24 January 2022
GET THIS BOOK Reproducibility

Science is allegedly in the midst of a reproducibility crisis, but questions of reproducibility and related principles date back nearly 80 years. Numerous controversies have arisen, especially since 2010, in a wide array of disciplines that stem from the failure to reproduce studies or their findings:biology, biomedical and preclinical research, business and organizational studies, computational sciences, drug discovery, economics, education, epidemiology and statistics, genetics, immunology, policy research, political science, psychology, and sociology. This monograph defines terms and constructs related to reproducible

Getting to Good

Getting to Good
  • Author : Arthur L. Caplan,Barbara K. Redman
  • Publisher : Springer
  • Release : 23 July 2018
GET THIS BOOK Getting to Good

This book represents the first comprehensive, gold standard reader on research integrity in the biomedical sciences. Now more than ever, the responsible conduct of research (RCR) has become critically important as new technologies affect research practices in both positive and negative ways. Since learning to do science and practicing it brings researchers into contact with a vast array of ethical issues, it is critical to know the standards and how they are evolving. Indeed, research integrity requires scientists at all

On the Move to Meaningful Internet Systems OTM 2017 Conferences

On the Move to Meaningful Internet Systems  OTM 2017 Conferences
  • Author : Hervé Panetto,Christophe Debruyne,Walid Gaaloul,Mike Papazoglou,Adrian Paschke,Claudio Agostino Ardagna,Robert Meersman
  • Publisher : Springer
  • Release : 20 October 2017
GET THIS BOOK On the Move to Meaningful Internet Systems OTM 2017 Conferences

This double volumes LNCS 10573-10574 constitutes the refereed proceedings of the Confederated International Conferences: Cooperative Information Systems, CoopIS 2017, Ontologies, Databases, and Applications of Semantics, ODBASE 2017, and Cloud and Trusted Computing, C&TC, held as part of OTM 2017 in October 2017 in Rhodes, Greece. The 61 full papers presented together with 19 short papers were carefully reviewed and selected from 180 submissions. The OTM program every year covers data and Web semantics, distributed objects, Web services, databases, information systems, enterprise workflow and collaboration, ubiquity, interoperability,

Roundtable on Data Science Postsecondary Education

Roundtable on Data Science Postsecondary Education
  • Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Division on Engineering and Physical Sciences,Board on Science Education,Computer Science and Telecommunications Board,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics
  • Publisher : National Academies Press
  • Release : 02 October 2020
GET THIS BOOK Roundtable on Data Science Postsecondary Education

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and