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data_type:densitometry

Densitometry

MeSH ID: D003720

Description:
The measurement of the density of a material by measuring the amount of light or radiation passing through (or absorbed by) the material.

Best practice for sharing this type of data:
For gel-based densitometry, gel images should be high resolution 16-bit grayscale images, saved as GEL or IMG/IMF files (these contain additional grayscale calibration data) or as a 16-bit TIFF file. Ensure that the same imaging parameters are used for all gels from that study, and process them all in the same orientation. Limit image editing to cropping, mirroring, or rotation. If densitometric techniques were used for medical imaging, the de-identified images should be made available on a public server. However, this may not be possible under your REB requirements, so instead the images should be preserved for as long as possible on an access-controlled server. Please ensure that readers are informed how to request access to these images. Any measurements or qualitative data derived from the image(s) 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:
Image 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.

Most suitable repositories:
Not applicable

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