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Developing a Conceptual Framework of Research Data Management for Higher Educational Institutions | IEEE Conference Publication | IEEE Xplore

Developing a Conceptual Framework of Research Data Management for Higher Educational Institutions


Abstract:

The purpose of this paper is to describe a conceptual framework for managing research data in higher educational institutes. The framework presents the workflow of the da...Show More

Abstract:

The purpose of this paper is to describe a conceptual framework for managing research data in higher educational institutes. The framework presents the workflow of the data life-cycle in its various phase right from its creation, storage, organization, sharing and usage. It also attempts to address crucial issues in Research Data Management (RDM) such as data privacy, data security, copyright and licensing. The framework may help the educational institutions in managing the research data in a more efficient and effective manner.
Date of Conference: 21-23 February 2018
Date Added to IEEE Xplore: 11 October 2018
ISBN Information:
Conference Location: Noida, India

I. Introduction

Data plays an important role in any research or research project that is carefully collected, analyzed, corrected, organized and made usable to carry out research studies. Any research in any area of research study is incomplete without authentic data. Therefore, publishers and educational institutes encourage data sharing and occasionally the same has been made mandatory by some publishers. The benefits of sharing data are manifold such as data can be used by researchers and applied the same in various aspects, citation of data ensures the credit and acknowledgement for data collectors, usage of data will affirm the authenticity and also increase the trust in the data set, sharing of data with others may bring transparency in the research process and also the methods of data collection and sharing of data will definitely save the time of the researchers and help to concentrate on new areas of research instead of collecting data from the beginning. [2]

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References

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