A relational database for bibliometric analysis |
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| Authors: | Nicolai Mallig |
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| Institution: | 1. Department of Library and Information Science, Yonsei University, Seoul, Republic of Korea;2. Department of Information and Library Science, Indiana University, Bloomington, IN, USA;1. Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany;2. Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Kloveniersburgwal 48, 1012 CX Amsterdam, The Netherlands;1. Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstraße. 8, 80539 Munich, Germany;2. Max Planck Institute for Solid State Research, Heisenbergstraße 1, 70569 Stuttgart, Germany;1. School of Information Management, Nanjing University, Nanjing, China;2. College of Computing and Informatics, Drexel University, Philadelphia, USA |
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| Abstract: | In this article a relational database schema for a bibliometric database is developed. After the introduction explaining the motivation to use relational databases in bibliometrics, an overview of the related literature is given. A review of typical bibliometric questions serves as an informal requirement analysis. The database schema is developed as an entity-relationship diagram using the structural information typically found in scientific articles. Several SQL queries for the tasks presented in the requirement analysis show the usefulness of the developed database schema. |
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