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Open Content: An Inference for Developing an Open Information Field

Open Content: An Inference for Developing an Open Information Field
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Author(s): Nilesh A. Shewale (Don Bosco Institute of Technology, India), Preedip Balaji B. (Preedip Balaji B.Indian Statistical Institute, India)and Madhukar Shewale (Yashwantrao Chavan Maharashtra Open University, India)
Copyright: 2013
Pages: 17
Source title: Design, Development, and Management of Resources for Digital Library Services
Source Author(s)/Editor(s): Tariq Ashraf (University of Delhi, India)and Puja Anand Gulati (University of Delhi, India)
DOI: 10.4018/978-1-4666-2500-6.ch011

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Abstract

The rapidly growing open content movement has intense outcomes and teaching approaches for the emergent social learning. Open content is any kind of creative work, or content, published under a license that explicitly allows copying and modifying of its information by anyone; on the other hand, a closed system follows a completely proprietary approach. In this chapter, the authors discuss open vs. closed systems, open content development process and model, challenges in content decision, 4Rs in open content, and tools. They also highlight some of the instances where open content has proved beneficial for the education, organization, and the users in building an open knowledge society.

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