title: Quality meets quantity - quality control, data standards and repositories.
abstract: In recent years, standardization and quality control have become important key points in industry, e.g. in drug discovery and for developing medical products. Is quality control in academic Proteomics a minor problem nowadays, where standard data formats and public repositories for data sharing exist? In this article, it is discussed how standard formats and repositories already support the documentation of quality control criteria in protein identification and quantification, and what has to be improved in the future: It is stated that the Proteomics community (represented by a group like the Proteomics Standards Initiative) will have to define a minimum document regarding quality control and to extend existing standards with additional quality control criteria enabling a substantial and standardized quality control process.
authors.affiliation: Medizinisches Proteom-Center, Ruhr-Universitaet Bochum, Bochum, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Eisenacher
authors.forename: Anke
authors.initials: A
authors.lastname: Schnabel
authors.forename: Christian
authors.initials: C
authors.lastname: Stephan
mesh_terms: D019295:Computational Biology / Q000592:standards; D003627:Data Interpretation, Statistical; D006801:Humans; D020543:Proteome / Q000302:isolation & purification; D040901:Proteomics / Q000592:standards* / Q000706:statistics & numerical data; D011786:Quality Control; D053719:Tandem Mass Spectrometry / Q000592:standards / Q000706:statistics & numerical data
chemical_list: D020543:Proteome