ZIN. Issues in Information Science. Information Studies, No.2A (2019)

Added: 18.12.2019

Thanks to the financial support which the Ministry of Science and Higher Education provided in 2019 under the program “Działalność upowszechniająca naukę: działalność wydawnicza (DUN)” (Actions to Promote Science: Publishing) to increase the national and international circulation of ZIN. Issues in Information Science. Information Studies, the editorial committee is releasing two additional thematic issues devoted to the newest topics in information science. We publish them entirely in English, hoping that it will make their contents more accessible to the international audience.

The first thematic issue focused on the question of open science and open access to scientific data and materials. It also presented the challenges, which this new approach to conducting research and publishing its results posed before information science.

>>ZIN. Issues in Information Science. Information Studies, No.1A* (download PDF)

The second thematic issue, which we are sharing with our readers as the year comes to an end, focuses on the issues in quantitative information research – on its methodology, its application, and first and foremost, on the problems which emerge in the process and interpretation of the results of quantitative analysis. Quantitative information research is one of the most dynamically developing research areas in the contemporary information science. If we refer to Marcia J. Bates’s model of the intellectual structure of information science, based on three big questions of information science1 , we may frame information metrics as an attempt to answer the first of these questions: the physical question of the features and laws of the recorded information universe. Alongside thus described object of study, the research in this area is distinguished by the application of statistical methods to establish the features and laws ruling the recorded information universe, their conditions, time variability, and the relations between the studied entities and their properties. efko Saracevic labelled these studies as “metrics”, or “metric studies in information science” , emphasizing that the label should encompass a number of specific subdisciplines: bibliometrics, scientometrics, informetrics, webometrics, altmetrics...

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ZIN. Issues in Information Science. Information Studies, No.2A* (download PDF)

* (The publication of this issue was funded by the grant “Publishing of ZIN. Issues in Information Science. Information Studies journal – increasing the national and international circulation” – an action financed under agreement 921/P-DUN/2019, supported by the Ministry of Science and Higher Education program “Actions to Promote Science: Publishing” (DUN))  


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