The Non-Trivial Effects of Trivial Errors on Scientific Evaluation
Sprache des Vortragstitels:
Englisch
Original Kurzfassung:
In my paper, the following topics will be discussed:
?trivial errors (such as misspellings of author names, journal titles, institutions, wrong document type classifications) in data banks and search engines and their high relevance in the evaluation era,
?citation analysis as an important quantitative evaluation tool,
?endogenous bias-induced errors and exogenous trivial errors in data banks and their non-trivial effects in quantitative evaluation,
?errors & biases in »quick and dirty« evaluations,
?problems of (authors, institutions) name & publication title disambiguation.
To illustrate, I will present a case study of the mutants of the surname of the famous French sociologist pierre bourdieu in various databanks und search engines and their potential effects for visibility and impact measurement.
Sprache der Kurzfassung:
Englisch
Englische Kurzfassung:
In my paper, the following topics will be discussed:
?trivial errors (such as misspellings of author names, journal titles, institutions, wrong document type classifications) in data banks and search engines and their high relevance in the evaluation era,
?citation analysis as an important quantitative evaluation tool,
?endogenous bias-induced errors and exogenous trivial errors in data banks and their non-trivial effects in quantitative evaluation,
?errors & biases in »quick and dirty« evaluations,
?problems of (authors, institutions) name & publication title disambiguation.
To illustrate, I will present a case study of the mutants of the surname of the famous French sociologist pierre bourdieu in various databanks und search engines and their potential effects for visibility and impact measurement.