Social bookkeeping data: data quality and data management
In: Historical social research 34.2009,3=Nr.129
In: Special issue
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In: Historical social research 34.2009,3=Nr.129
In: Special issue
In: Kölner Zeitschrift für Soziologie und Sozialpsychologie: KZfSS, Band 44, Heft 1, S. 181-185
ISSN: 0023-2653
In: Zeitschrift Führung + Organisation: ZfO, Band 62, Heft 1, S. 20-25
ISSN: 0722-7485
In: Schriften zur Informationswissenschaft 74
Klappentext: Digital humanities as well as data science as neighboring fields pose new challenges and opportunities for information science. The recent focus on data in the context of big data and deep learning brings along new tasks for information scientist for example in research data management. At the same time, information behavior changes in the light of the increasing digital availability of information in academia as well as in everyday life. In this volume, contributions from various fields like information behavior and information literacy, information retrieval, digital humanities, knowledge representation, emerging technologies, and information infrastructure showcase the development of information science research in recent years. Topics as diverse as social media analytics, fake news on Facebook, collaborative search practices, open educational resources or recent developments in research data management are some of the highlights of this volume.
In: Experiments in public management research
In: Schriften / Zentrum für Regionale Entwicklungsforschung der Justus-Liebig-Universität Gießen, 63
World Affairs Online
In: Zeitschrift für Politikwissenschaft: ZPol = Journal of political science, Band 24, Heft 1-2, S. 205-220
ISSN: 1430-6387
For several years, the social sciences experience an almost Copernican revolution: range and scope of social science data are increasing rapidly, research on computer-based methods for classification and analysis of existing large data volumes experiencing an interdisciplinary boom. The very much lamented lack of information about individual behavior or institutions has become - at least in part - abundantly wrong (King 2011). For this, a bit simplistic, but impressive example: The data collected as part of the German Election Study and the ALLBUS since 1949 can be easily put together on a gigabyte of storage. About the social media platform Twitter, which increasingly becoming the focus of scientific interest, will, over the rule of thumb, about four gigabytes of data generate - per hour. This illustrates not necessarily the rapid increase in political science relevant data - about the content some arbitrarily collated Tweet Collection for political science research let themselves worthy of debate - but probably the enormous potential of new data sources, as well as the extraordinary technical challenges are faced with the researchers, might study the social behavior on the World Wide Web. Adapted from the source document.
In: USW-Schriften für Führungskräfte 1
Revolution durch Information, von J. Diebold.--Der optimale Einsatz elektronischer Datenverarbeitungsanlagen, Von McKinsey & Co.--Wie kann die Unternehmensführung das Gewinnpotential von Computern richtig ausnutzen? von McKinsey & Co.--Sachverzeichnis