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Findability is similar to discoverability, which is defined as the ability of something, especially a piece of content or information, to be found.It is different from web search in that the word find refers to locating something in a known space while 'search' is in an unknown space or not in an expected location.
FAIR data is data which meets the FAIR principles of findability, accessibility, interoperability, and reusability (FAIR). [ 1 ] [ 2 ] The acronym and principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations.
Web usability includes a small learning curve, easy content exploration, findability, task efficiency, user satisfaction, and automation.These new components of usability are due to the evolution of the Web and personal devices.
Information architecture (IA) is the structural design of shared information environments; the art and science of organizing and labelling websites, intranets, online communities and software to support usability and findability; and an emerging community of practice focused on bringing principles of design, architecture and information science to the digital landscape. [1]
Discoverability is the degree to which something, especially a piece of content or information, can be found in a search of a file, database, or other information system. ...
Tree testing is a usability technique for evaluating the findability of topics in a website. [1] It is also known as reverse card sorting or card-based classification. [2] A large website is typically organized into a hierarchy (a "tree") of topics and subtopics. [3] [4] Tree testing provides a way to measure how well users can find items in ...
Retrievability can be considered as one aspect of findability. Applications of retrievability include detecting search engine bias , measuring algorithmic bias, evaluating the influence of search technology, tuning information retrieval systems and evaluating the quality of documents in a collection .
Regardless of their origin, principles across types of Open Data hint at the key elements of the definition of commons. These are, for instance, accessibility, re-use, findability, non-proprietarily. [69] Additionally, although to a lower extent, threats and opportunities associated with both Open Data and commons are similar.