АВТОМАТИЗИРАНО ИЗВЛИЧАНЕ И АНАЛИЗ НА БИБЛИОМЕТРИЧНИ ДАННИ ЧРЕЗ API
AUTOMATED EXTRACTION AND BIBLIOMETRIC DATA ANALYSIS WITH API

Author(s): Olga Marinova, Petya Strashimirova
Subject(s): Library and Information Science, Information Architecture, Electronic information storage and retrieval
Published by: Икономически университет - Варна
Keywords: data extraction; bibliometric analysis; SCOPUS API; Web of Science API
Summary/Abstract: Retrieval of bibliometric data from leading scientific metrics databases such as Scopus and Web of Science is becoming increasingly important for effective tracking and analysis of scientific output. Data can be automatically collected and processed based on various parameters, which will allow us to use them more efficiently for the purpose of future summaries and, most importantly, to gain a thorough and reliable insight into current scientific trends. The aim of this paper is to explore the possibilities of Application Programming Interfaces (APIs) to retrieve and analyse bibliometric data, and to propose a methodology for automated data extraction from global scientific databases using APIs. Different techniques and methods for bibliometric data analysis are highlighted.

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