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data_type:electroencephalogram

Electroencephalogram

MeSH ID: D004569

Description:
Recording of electric currents developed in the brain by means of electrodes applied to the scalp, to the surface of the brain, or placed within the substance of the brain.

Best practice for sharing this type of data:
Datasets should be stored and shared in an easily-accessible file format such as .gdf or .mat. Data acquisition parameters should be disclosed regarding equipment, participants, and experimental paradigms. Any measurements or qualitative data derived from the EEG should be made available as part of the Subject Data Table (Tabular data) (the de-identified file that has individual patients as rows and data about them in columns).

Most suitable repositories:
EEG data may be added to repositories such as G-Node,Neuroimaging Informatics Tools and Resources Collaboratory, and OpenNeuro.

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.

Most suitable repositories:
Not applicable

data_type/electroencephalogram.txt · Last modified: 2021/04/23 18:44 by samantha