Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies

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)usa...

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Main Author: Costantino Thanos
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Publications
Subjects:
Online Access:http://www.mdpi.com/2304-6775/5/1/2
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author Costantino Thanos
author_facet Costantino Thanos
author_sort Costantino Thanos
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description 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.
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spelling doaj.art-5665690b137942dcad8c452aaf7cee772022-12-22T02:14:55ZengMDPI AGPublications2304-67752017-01-0151210.3390/publications5010002publications5010002Research Data Reusability: Conceptual Foundations, Barriers and Enabling TechnologiesCostantino Thanos0Institute of Information Science and Technologies, National Research Council of Italy, 56124 Pisa, ItalyHigh-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.http://www.mdpi.com/2304-6775/5/1/2data reusedata discoverabilitydata understandabilityrelational thinkingdata abstractiondata representationmetadataexplicit knowledgetacit knowledgedata publishing
spellingShingle Costantino Thanos
Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies
Publications
data reuse
data discoverability
data understandability
relational thinking
data abstraction
data representation
metadata
explicit knowledge
tacit knowledge
data publishing
title Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies
title_full Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies
title_fullStr Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies
title_full_unstemmed Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies
title_short Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies
title_sort research data reusability conceptual foundations barriers and enabling technologies
topic data reuse
data discoverability
data understandability
relational thinking
data abstraction
data representation
metadata
explicit knowledge
tacit knowledge
data publishing
url http://www.mdpi.com/2304-6775/5/1/2
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