Data-Sociology and Some Problems of Scientific Certification
Andrey Rostovtsev ()
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Andrey Rostovtsev: Russian Research Institute of Economics, Politics and Law in Science and Technology
Science Governance and Scientometrics Journal, 2015, vol. 10, issue 2, 243-254
Abstract:
A data-sociology approach is introduced by analyzing results obtained by the Russian voluntary networking community «Dissernet». As is the case with data journalism, data-sociology is based on the publically accessible (open source) data and takes advantage of modern information processing technologies. The results obtained in the framework of this study help to reconstruct a socio-landscape and to reveal problematic areas where any sort of fraud is highly welcomed. As a matter of fact, the same areas are highly problematic for society as a whole. Data collected by the Dissernet allow practical conclusions to be drawn about the work of various professional groups of people, e.g. expert committies in science and higher education (Dissertation Committies), editorial boards of scientific journals, as well as governmental bodies at regional and federal level.
Keywords: Dissernet; data-sociology; dissertation; fraud; statistics (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:akt:journl:v:10:y:2015:i:2:p:243-254
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