The reproducibility of published experimental results has recently attracted attention in many different scientific fields. The lack of availability of original primary scientific data represents a major factor contributing to reproducibility problems, however, the structural biology community has taken significant steps towards making experimental data available.
Macromolecular X-ray crystallography has led the way in requiring the public dissemination of atomic coordinates and a wealth of experimental data via the Protein Data Bank (PDB) and similar projects, making the field one of the most reproducible in the biological sciences.
The IUCr commissioned the Diffraction Data Deposition Working Group (DDDWG) in 2011 to examine the benefits and feasibility of archiving raw diffraction images in crystallography. The 2011-2014 DDDWG triennial report made several key recommendations regarding the preservation of raw diffraction data. However, there remains no mandate for public disclosure of the original diffraction data.
The Integrated Resource for Reproducibility in Macromolecular Crystallography (IRRMC) is part of the Big Data to Knowledge programme of the National Institutes of Health and has been developed to archive raw data from diffraction experiments and, equally importantly, to provide related metadata. The database [Grabowski et al. (2016). Acta Cryst. D72, 1181-1193, doi:10.1107/S2059798316014716], contains at the time of writing 3070 macromolecular diffraction experiments (5983 datasets) and their corresponding partially curated metadata, accounting for around 3% of all depositions in the Protein Data Bank.
The resource is accessible at http://www.
Talking to a reporter about the project, team leader Wladek Minor said, "There is so much research underway that it can't all be published, and often the results of unsuccessful studies don't appear in the literature. I think the key to success is to know about unsuccessful experiments, we want to know why they fail".
The goal of the project is to expand the IRRMC and include data sets that failed to yield X-ray structures. This could facilitate collaborative efforts to improve protein structure-determination methods and also ensure the availability of "orphan" data left behind by individual investigators and/or extinct structural genomics projects.
Dr. Jonathan Agbenyega | EurekAlert!
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