Promoting Coherent Minimum Reporting Guidelines for Biological and Biomedical Investigations: the MIBBI Project

Taylor, Chris
Field, Dawn
Reecy, James
Sansone, Susanna-Assunta
Aerts, Jan
Apweiler, Rolf
Ashburner, Michael
Ball, Catherine
Binz, Pierre-Alain
Bogue, Molly
Booth, Tim
Brazma, Alvis
Brinkman, Ryan
Clark, Adam
Deutsch, Eric
Fiehn, Oliver
Fostel, Jennifer
Chazal, Peter
Gibson, Frank
Gray, Tanya
Grimes, Graeme
Hancock, John
Hardy, Nigel
Hermjakob, Henning
Julian, Randall
Kane, Matthew
Kettner, Carsten
Kinsinger, Christopher
Kolker, Eugene
Kuiper, Martin
Le Novere, Nicolas
Leebens-Mack, Jim
Lewis, Suzanna
Lord, Phillip
Mallon, Ann-Marie
Marthansan, Nishanth
Masuya, Hiroshi
McNally, Ruth
Mehrle, Alexander
Morrison, Norman
Orchard, Sandra
Quackbush, John
Reecy, James
Robertson, Donald
Rocca-Serra, Philippe
Rodriguez, Henry
Rosenfelder, Heiko
Santoyo-Lopez, Javier
Scheuermann, Richard
Schober, Daniel
Smith, Barry
Snape, Jason
Stoeckert, Christian
Tipton, Keith
Sterk, Peter
Untergasser, Andreas
Vandesompele, Jo
Wiemann, Stefan
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Committee Member
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Animal Science
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Animal Science

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.