MeSH ID: D008401
A microanalytical technique combining mass spectrometry and gas chromatography for the qualitative as well as quantitative determinations of compounds.
Best practice for sharing this type of data:
Data may be stored and shared using an open, XML-based format. Data collected using mass spectrometry for a proteomics experiment should adhere to MIAPE-MS guidelines, which outline the minimum required information to be submitted along with all relevant datasets. Since gas chromatography is used in this technique, the composition and pressure of gas used should be disclosed.
Most suitable repositories:
Gas chromatography-mass spectrometry data may be aded to repositories belonging to the ProteomeXchange consortium such as jPOST, MassIVE, PeptideAtlas, and PRIDE or MetaboLights, Protein Databank in Europe, GlycoProtDB, UniCarb-DR, PANGAEA, Glycans, The Global Proteome Machine Database, and WormBase.
Best practice for indicating re-use of existing data:
For public datasets please provide a DOI or other stable identified for the dataset itself *and* include a citation for the dataset in the reference list. Be sure to indicate exactly which data has been re-used, particularly when multiple versions of the dataset exist. In many cases, this is best achieved by sharing the code used to extract the part of the data that you analyzed. In some cases it may be best to share the exact dataset(s) you analyzed as well.
For access-controlled data authors should provide a link to instructions for obtaining access (e.g. here is the information page for ADNI (Alzheimer's Disease Neuroimaging Initiative): http://adni.loni.usc.edu/data-samples/access-data/).
When re-using a private dataset from a previous study please contact the data owners to discuss how the data can be made public.