Quantifying the Consistency of Scientific Databases
Year: 2015
Type: article
Abstract: Science is a social process with far-reaching impact on our modern society. In recent years, for the first time we are able to scientifically study the science itself. This is enabled by massive amounts of data on scientific publications that is increasingly becoming available. The data is contained in several databases such as Web of Science or PubMed, maintained by various public and private entities. Unfortunately, these databases are not always consistent, which considerably hinders this study. Relying on the powerful framework of complex networks, we conduct a systematic analysis of the consistency among six major scientific databases. We found that identifying a single "best" database is far from easy. Nevertheless, our results indicate appreciable differences in mutual consistency of different databases, which we interpret as recipes for future bibliometric studies.
Source: PLoS ONE
Institution: University of Ljubljana
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,382
Awards: G1031132873, G1208007839, Razvozljavanje bioloških omrežij (Slovene), G1613034829, G2001806450, G2628364946, Complex Oscillatory Systems: Modeling and Analysis, Complex networks, G3345895242, G4452028987, G4937468798, G580560800, G667789316, Pervasive computing, Omrežja soavtorstev slovenskih raziskovalcev: teoretična analiza in razvoj uporabniškega vmesnika za vizualizacijo (Slovene), G7979643917, G7984235579, G8488971488, G8512683158
OpenAlex ID: W281463231