Data sharing collaborations
As the number of published sequences increased, the workflow changed: by opening discussions with publishers of the scientific literature, the organisations behind these databases convinced publishers to request that researchers submit their sequences to one of the public databases before submitting the paper. In return, authors gained an accession number that could then be cited in the paper. This model has now been followed by many providers of public biological data. Table 1 provides some significant examples.
The other important aspect of these collaborations is that their participants exchange data and/or assign workload in such a way as to avoid duplication of effort whilst ensuring that data are annotated and made available in a consistent way.
Table 1 Some examples of global collaborations established to manage the public record of different biological data types.
|Nucleotide sequences||International Sequence Database Collaboration|
|Protein sequences||UniProt Consortium|
|Macromolecular structures||Worldwide Protein Data Bank|
|Molecular interactions||The International Molecular Exchange Consortium|
|Protein identifications||The ProteomeXchange Consortium|
|Metabolomics data||Coordination of Standards in Metabolomics|
|Genomic and clinical data||Global Alliance for Genomics and Health|