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Publications 2017, 5(1), 2; doi:10.3390/publications5010002

Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies

Institute of Information Science and Technologies, National Research Council of Italy, 56124 Pisa, Italy
Academic Editor: Isabel Bernal
Received: 17 October 2016 / Accepted: 4 January 2017 / Published: 9 January 2017
(This article belongs to the Special Issue Open Data)
View Full-Text   |   Download PDF [232 KB, uploaded 9 January 2017]

Abstract

High-throughput scientific instruments are generating massive amounts of data. Today, one of the main challenges faced by researchers is to make the best use of the world’s growing wealth of data. Data (re)usability is becoming a distinct characteristic of modern scientific practice. By data (re)usability, we mean the ease of using data for legitimate scientific research by one or more communities of research (consumer communities) that is produced by other communities of research (producer communities). Data (re)usability allows the reanalysis of evidence, reproduction and verification of results, minimizing duplication of effort, and building on the work of others. It has four main dimensions: policy, legal, economic and technological. The paper addresses the technological dimension of data reusability. The conceptual foundations of data reuse as well as the barriers that hamper data reuse are presented and discussed. The data publication process is proposed as a bridge between the data author and user and the relevant technologies enabling this process are presented. View Full-Text
Keywords: data reuse; data discoverability; data understandability; relational thinking; data abstraction; data representation; metadata; explicit knowledge; tacit knowledge; data publishing data reuse; data discoverability; data understandability; relational thinking; data abstraction; data representation; metadata; explicit knowledge; tacit knowledge; data publishing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Thanos, C. Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies. Publications 2017, 5, 2.

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