Journal
PROTEOMICS
Volume 16, Issue 2, Pages 214-225Publisher
WILEY
DOI: 10.1002/pmic.201500295
Keywords
Bioinformatics; Computational proteomics; Data analysis; Databases; Data standards
Funding
- Ghent University (Multidisciplinary Research Partnership Bioinformatics: from nucleotides to networks)
- Ghent University [BOF12/GOA/014]
- IWT SBO grant [120025]
- EMBL
- Wellcome Trust [WT101477MA]
- BBSRC [BB/L024225/1]
- Bergen Forskningsstifelse
- Novo Nordisk Fonden
- Western Norway Regional Health Authority
- Kristian Gerhard Jebsen foundation
- Biotechnology and Biological Sciences Research Council [BB/L024225/1] Funding Source: researchfish
- Novo Nordisk Fonden [NNF15OC0016102, NNF14OC0010141] Funding Source: researchfish
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In a global effort for scientific transparency, it has become feasible and good practice to share experimental data supporting novel findings. Consequently, the amount of publicly available MS-based proteomics data has grown substantially in recent years. With some notable exceptions, this extensive material has however largely been left untouched. The time has now come for the proteomics community to utilize this potential gold mine for new discoveries, and uncover its untapped potential. In this review, we provide a brief history of the sharing of proteomics data, showing ways in which publicly available proteomics data are already being (re-)used, and outline potential future opportunities based on four different usage types: use, reuse, reprocess, and repurpose. We thus aim to assist the proteomics community in stepping up to the challenge, and to make the most of the rapidly increasing amount of public proteomics data.
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