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Most of ResearchGate's users are involved in medicine or biology, [10] [12] though it also has participants from engineering, law, computer science, agricultural sciences, and psychology, among others. [10] ResearchGate published an author-level metric in the form of an "RG Score" since 2012. [15] RG score is not a citation impact measure.
The following presents a non-exhaustive list of sources whose reliability and use on Wikipedia are frequently discussed. This list summarizes prior consensus and consolidates links to the most in-depth and recent discussions from the reliable sources noticeboard and elsewhere on Wikipedia.
Two-pass verification, also called double data entry, is a data entry quality control method that was originally employed when data records were entered onto sequential 80-column Hollerith cards with a keypunch. In the first pass through a set of records, the data keystrokes were entered onto each card as the data entry operator typed them.
Includes text mining tools and links to external molecular and medical data sets. Free Yes EMBL-EBI: PubMed Central (PMC) [13] Biomedical, life sciences: 7,500,000 Free full-text archive of publications and preprints Free Yes NIH, NLM: ResearchGate: Multidisciplinary: 4,000,000 [citation needed] Commercial social networking site for scientists ...
A general narrative review of a subject by an expert in the field makes a good secondary source that can be used to cover various aspects of a subject within a Wikipedia article. Such reviews typically contain no original data but can make interpretations and draw conclusions from primary sources that no Wikipedia editor would be allowed to do.
Data verification helps to determine whether data was accurately translated when data is transferred from one source to another, is complete, and supports processes in the new system. During verification, there may be a need for a parallel run of both systems to identify areas of disparity and forestall erroneous data loss .
The majority of social media influencers share information with their followers without verifying its accuracy, according to a new U.N. report that was released on Tuesday. The new study, done by ...
All data sourced from a third party to organization's internal teams may undergo accuracy (DQ) check against the third party data. These DQ check results are valuable when administered on data that made multiple hops after the point of entry of that data but before that data becomes authorized or stored for enterprise intelligence.