Safeguarding Structural Data Repositories against Bad Apples
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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
Published on: November 22, 2019
Wladek Minor1, Zbigniew Dauter2, John R Helliwell3
1Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22908, USA.
Abstract:
Structural biology research generates large amounts of data, some deposited in public databases or repositories, but a substantial remainder never becomes available to the scientific community. In addition, some of the deposited data contain less or more serious errors that may bias the results of data mining. Thorough analysis and discussion of these problems is needed to ameliorate this situation. This perspective is an attempt to propose some solutions and encourage both further discussion and action on the part of the relevant organizations, in particular the PDB and various bodies of the International Union of Crystallography.
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