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Promoting Coherent Minimum Reporting Guidelines for Biological and Biomedical Investigations: Tthe MIBBI Project
Nature Biotechnology
  • Chris F. Taylor, European Bioinformatics Institute
  • Dawn Field, Natural Environment Research Council Environmental Bioinformatics Centre
  • Susanna-Assunta Sansone, European Bioinformatics Institute
  • Jan Aerts, Wellcome Trust Sanger Institute
  • Rolf Apweiler, European Bioinformatics Institute
  • Michael Ashburner, University of Cambridge
  • Catherine A. Ball, Stanford University School of Medicine
  • Pierre-Alain Binz, Swiss Institute of Bioinformatics
  • Molly Bogue, The Jackson Laboratory
  • Tim Booth, Natural Environment Research Council Environmental Bioinformatics Centre
  • Alvis Brazma, European Bioinformatics Institute
  • Ryan R. Brinkman, British Columbia Cancer Agency
  • Adam Michael Clark, The Lance Armstrong Foundation
  • Eric W. Deutsch, Institute for Systems Biology
  • Oliver Fiehn, University of California - Davis
  • Jennifer Fostel, National Institute of Environmental Health Sciences and Lockheed Martin Information Technology
  • Peter Chazal, University of Edinburgh Medical School
  • Frank Gibson, Newcastle University
  • Tanya Gray, Natural Environment Research Council Environmental Bioinformatics Centre
  • Graeme Grimes, University of Edinburgh Medical School
  • John M. Hancock, Bioinformatics Group
  • Nigel W. Hardy, Aberystwyth University
  • Henning Hermjakob, European Bioinformatics Institute
  • Randall K. Julian, Jr., Indigo BioSystems, Inc.
  • Matthew Kane, National Science Foundation
  • Carsten Kettner, Beilstein-Institut zur Förderung der Chemischen Wissenschaften
  • Christopher Kinsinger, National Cancer Institute
  • Eugene Kolker, Seattle Children's Hospital Research Institute
  • Martin Kuiper, Vlaams Instituut voor Biotechnologie
  • Nicolas Le Novere, European Bioinformatics Institute
  • Jim Leebens-Mack, University of Georgia
  • Suzanna E. Lewis, University of California - Berkeley
  • Phillip Lord, Newcastle University
  • Ann-Marie Mallon, Bioinformatics Group
  • Nishanth Marthansan, University of Texas Southwestern Medical Center
  • Hiroshi Masuya, RIKEN Genomic Sciences Center
  • Ruth McNally, Lancaster University
  • Alexander Mehrle, German Cancer Research Center
  • Norman Morrison, Natural Environment Research Council Environmental Bioinformatics Centre
  • Sandra Orchard, European Bioinformatics Institute
  • John Quackbush, Harvard School of Public Health
  • James M Reecy, Iowa State University
  • Donald G. Robertson, Bristol-Myers Squibb
  • Philippe Rocca-Serra, European Bioinformatics Institute
  • Henry Rodriguez, National Cancer Institute
  • Heiko Rosenfelder, German Cancer Research Center
  • Javier Santoyo-Lopez, University of Edinburgh Medical School
  • Richard H. Scheuermann, University of Texas Southwestern Medical Center
  • Daniel Schober, European Bioinformatics Institute
  • Barry Smith, University at Buffalo
  • Jason Snape, AstraZeneca UK Ltd.
  • Christian J. Stoeckert, Jr., Center for Bioinformatics
  • Keith Tipton, Trinity College Dublin
  • Peter Sterk, European Bioinformatics Institute
  • Andreas Untergasser, Wageningen University
  • Jo Vandesompele, Ghent University Hospital
  • Stefan Wiemann, German Cancer Research Center
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To fully understand the context, methods, data and conclusions that pertain to an experiment, one must have access to a range of background information. However, the current diversity of experimental designs and analytical techniques complicates the discovery and evaluation of experimental data; furthermore, the increasing rate of production of those data compounds the problem. Community opinion increasingly favors that a regularized set of the available metadata ('data about the data') pertaining to an experiment1, 2 be associated with the results, making explicit both the biological and methodological contexts. Many journals and funding agencies now require that authors reporting microarray-based transcriptomics experiments comply with the Minimum Information about a Microarray Experiment (MIAME) checklist3 as a prerequisite for publication4, 5, 6, 7. Similarly, minimum information guidelines for reporting proteomics experiments and describing systems biology models are gaining broader support in their respective database communities8, 9; and progress is being made toward the standardization of the reporting of clinical trials in the medical literature10. Such minimum information checklists promote transparency in experimental reporting, enhance accessibility to data and support effective quality assessment, increasing the general value of a body of work (and the competitiveness of the originators).

This article is from Nature Biotechnology 26 (2008): 889, doi:10.1038/nbt.1411.

Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
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Chris F. Taylor, Dawn Field, Susanna-Assunta Sansone, Jan Aerts, et al.. "Promoting Coherent Minimum Reporting Guidelines for Biological and Biomedical Investigations: Tthe MIBBI Project" Nature Biotechnology Vol. 26 (2008) p. 889 - 896
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