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Code is the symbolic arrangement of data or instructions in a computer program or the set of such instructions.

Best practice for sharing this type of data:
Provide the code along with all input files the code calls on.

Most suitable repositories:
Code may be added to repositories such as Code Ocean, Astrophysics Source Code Library, DataverseNO, ModelDB, RunMyCode, GitHub, and Comprehensive R Archive Network.

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):

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/code.txt · Last modified: 2021/04/26 22:04 by samantha