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Gang Zhao; Hui He; Bingbing Di; Qingqing Guo – Education and Information Technologies, 2024
With the rapid development of information technology, various online education platforms support the sharing of digital educational resources. Because digital educational resources are simple to duplicate and disseminate quickly, there exists copyright infringement, which threatens the interests of copyright owners. In addition, the existing…
Descriptors: Educational Resources, Technology Uses in Education, Technological Advancement, Copyrights
Johri, Aditya; Yang, Seungwon; Vorvoreanu, Mihaela; Madhavan, Krishna – Advances in Engineering Education, 2016
As part of our NSF funded collaborative project on Data Sharing within Engineering Education Community, we conducted an empirical study to better understand the current climate of data sharing and participants' future expectations of the field. We present findings of this mixed method study and discuss implications. Overall, we found strong…
Descriptors: Engineering Education, Data, Knowledge Management, Educational Practices
Privacy Protection Study Commission, Washington, DC. – 1977
This report of the Privacy Protection Study Commission was prepared in response to a Congressional mandate to study data banks, automatic data processing programs, and information systems of governmental, regional and private organizations to determine standards and procedures in force for the protection of personal information. Recommendations…
Descriptors: Confidential Records, Confidentiality, Data Processing, Databases

Liew, Chong K.; And Others – Journal of the American Society for Information Science, 1985
Introduces two data distortion methods (Frequency-Imposed Distortion, Frequency-Imposed Probability Distortion) and uses a Monte Carlo study to compare their performance with that of other distortion methods (Point Distortion, Probability Distortion). Indications that data generated by these two methods produce accurate statistics and protect…
Descriptors: College Faculty, Comparative Analysis, Data Processing, Monte Carlo Methods