Difference between revisions of "Data Discoverability /Accessibility"
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Revision as of 11:41, July 29, 2015
Discoverability is the ability of information to be found. Discoverability of data is particularly important in the sciences, as the benefits of scientific investigation can’t be used if people can’t find the data. The discoverability of a dataset depends on the completeness and compatibility of the metadata. The more complete and compatible the metadata, the more likely it is that a user will be able to discover the data they are seeking.
Once a dataset is discovered, it is equally important that there be a way to access it. Accessibility is the ability to retrieve data. The accessibility of a dataset depends primarily on the discoverability - which in turn is a function of the completeness and compatibility of the metadata. Therefore, the more complete and compatible the metadata, the more accessible the data, and the more the data can be effectively shared.
This sub-section aims to clearly depict discoverability documentation needs and concepts and map to them in the different dialects — thereby increasing compatibility and by default, discoverability.
Sub-divisions[edit | edit source]
- Data Discovery (ACDD)
- Data Discovery (CSW)
- Data Discovery (DataCite)
- Data Discovery (DCAT)
- Data Discovery (DIF)
- Data Discovery (ECHO)
- Data Discovery (ECS)
- Data Discovery (FGDC)
- Data Discovery (ISO-19115-1)
- Dataset Descriptions (W3C)