Sound Data- Interview
MeSH ID: D007406
Description:
Work consisting of a conversation with an individual regarding his or her background and other personal and professional details, opinions on specific subjects posed by the interviewer, etc.
Best practice for sharing this type of data:
Transcripts should be made available as .txt or PDF/A files. If audio files are being shared, the preferred file format is Free Lossless Audio Codec (FLAC) (.flac). Documentation files should be made available as .txt or PDF/A files. Consent must be obtained from participants in order to share interview data. Researchers are obliged to protect confidentiality and this must be reflected in all data files made available for sharing.
Most suitable repositories:
Many repositories host surveys and questionnaires; some are field or discipline specific, while others are more general. As well, your institution, journal, or funder may recommend specific repositories, otherwise data can be added to any repository able to host generic file types, detailed here.
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.
