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The following outline is provided as an overview of and topical guide to information science: Information science – interdisciplinary field primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval and dissemination of information. [1]
IT skills, such as word-processing and spreadsheets, digitisation skills, and conducting Internet searches, together with skills loan systems, databases, content management systems, and specially designed programmes and packages. Customer service. An information professional should have the ability to address the information needs of customers.
They seek employability over employment [and] value career over self-reliance" (Elsdon and Iyer, 1999) [full citation needed]. Where baby boomers are proficient in specified knowledge regarding a specific firm, generation X knowledge workers acquire knowledge from many firms and take that knowledge with them from company to company (2002).
The Cognitive Information Processing (CIP) Approach to Career Development and Services [1] [2] [3] is a theory of career problem solving and decision making that was developed through the joint efforts of a group of researchers at the Florida State University Career Center's Center for the Study of Technology in Counseling and Career Development.
Information systems workers enter a number of different careers: Information system strategy; Management information systems – A management information system (MIS) is an information system used for decision-making, and for the coordination, control, analysis, and visualization of information in an organization.
Informatics (a combination of the words "information" and "automatic") is the study of computational systems. [1] [2] According to the ACM Europe Council and Informatics Europe, informatics is synonymous with computer science and computing as a profession, [3] in which the central notion is transformation of information.
Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.
Domain general problem solving provides students with cross-curricular skills and strategies that can be transferred to multiple different situations/environments/domains. Examples of cross-curricular skills include, but are not limited to: information processing, self-regulation and decision making.