Systematic mapping of open data studies: Classification and trends from a technological perspective

Robert Enriquez-Reyes; Susana Cadena-Vela; Andres Fuster-Guillo; Jose Norberto Mazon; Luis Daniel Ibanez; Elena Simperl

doi:10.1109/ACCESS.2021.3052025

Systematic mapping of open data studies: Classification and trends from a technological perspective

Robert Enriquez-Reyes, Susana Cadena-Vela, Andres Fuster-Guillo, Jose Norberto Mazon^*, Luis Daniel Ibanez, Elena Simperl

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

The objective of this paper is to classify and analyse all research on open data performed in the scientific community from a technological viewpoint, providing a detailed exploration based on six key facets: publication venue, impact, subject, domain, life-cycle phases and type of research. This paper therefore provides a consolidated overview of the open data arena that allows readers to identify well-established topics, trends, and open research issues. Additionally, we provide an extensive qualitative discussion of the most interesting findings to pave the way for future research. Our first identification phase resulted in 893 relevant peer-reviewed articles, published between 2006 and 2019 in a wide variety of venues. Analysis of the results shows that open data research grew slowly from 2006 but increased significantly as from 2009. In 2019, research interest in open data from a technological perspective overall decreased. This fact could indicate that research is beginning to stabilise, i.e., the open data research hype is over, and the research field is reaching maturity. Main findings are (i) increasing effort in researching on Semantic Web technologies as a mechanism to publish and reuse linked open data, (ii) software systems are proposed to solve open data technical problems; and (iii) considering technological aspects of legislation and standardization is needed to widely introduce open data in society. Finally, we provide complementary insights regarding open data innovation projects, with special emphasis on publication (e.g., open data portals) and consumption (e.g., open data as business enabler) of open data.

Original language	English
Article number	9326343
Pages (from-to)	12968-12988
Number of pages	21
Journal	IEEE Access
Volume	9
DOIs	https://doi.org/10.1109/ACCESS.2021.3052025
Publication status	Published - 2021

Keywords

innovation
Open data
systematic mapping

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10.1109/ACCESS.2021.3052025

Cite this

@article{bc4bf99cb8fe4dbe8acbb485899cfec3,

title = "Systematic mapping of open data studies: Classification and trends from a technological perspective",

abstract = "The objective of this paper is to classify and analyse all research on open data performed in the scientific community from a technological viewpoint, providing a detailed exploration based on six key facets: publication venue, impact, subject, domain, life-cycle phases and type of research. This paper therefore provides a consolidated overview of the open data arena that allows readers to identify well-established topics, trends, and open research issues. Additionally, we provide an extensive qualitative discussion of the most interesting findings to pave the way for future research. Our first identification phase resulted in 893 relevant peer-reviewed articles, published between 2006 and 2019 in a wide variety of venues. Analysis of the results shows that open data research grew slowly from 2006 but increased significantly as from 2009. In 2019, research interest in open data from a technological perspective overall decreased. This fact could indicate that research is beginning to stabilise, i.e., the open data research hype is over, and the research field is reaching maturity. Main findings are (i) increasing effort in researching on Semantic Web technologies as a mechanism to publish and reuse linked open data, (ii) software systems are proposed to solve open data technical problems; and (iii) considering technological aspects of legislation and standardization is needed to widely introduce open data in society. Finally, we provide complementary insights regarding open data innovation projects, with special emphasis on publication (e.g., open data portals) and consumption (e.g., open data as business enabler) of open data. ",

keywords = "innovation, Open data, systematic mapping",

author = "Robert Enriquez-Reyes and Susana Cadena-Vela and Andres Fuster-Guillo and Mazon, {Jose Norberto} and Ibanez, {Luis Daniel} and Elena Simperl",

note = "Funding Information: This work was supported by the Spanish Government (MINECO) under Project TIN2016-78103-C2-2-R and Project TIN2017-89069-R, and in part by the European Union Horizon 2020 Program through the ODINE Project under Grant 644683. The work of Jose-Norberto Maz{\'o}n was supported by the {\textquoteleft}{\textquoteleft}Jos{\'e} Castillejo{\textquoteright}{\textquoteright} research program from the Spanish Government (Programa Estatal de Promoci{\'o}n del Talento y su Empleabilidad en I+D+i, Subprograma de Movilidad, del Plan Estatal de Investigaci{\'o}n Cient{\'i}fica y T{\'e}cnica y de Innovaci{\'o}n 2013–2016) under Grant JC2015-00284. Publisher Copyright: {\textcopyright} 2013 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

year = "2021",

doi = "10.1109/ACCESS.2021.3052025",

language = "English",

volume = "9",

pages = "12968--12988",

journal = "IEEE Access",

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AU - Enriquez-Reyes, Robert

AU - Cadena-Vela, Susana

AU - Fuster-Guillo, Andres

AU - Mazon, Jose Norberto

AU - Ibanez, Luis Daniel

AU - Simperl, Elena

N1 - Funding Information: This work was supported by the Spanish Government (MINECO) under Project TIN2016-78103-C2-2-R and Project TIN2017-89069-R, and in part by the European Union Horizon 2020 Program through the ODINE Project under Grant 644683. The work of Jose-Norberto Mazón was supported by the ‘‘José Castillejo’’ research program from the Spanish Government (Programa Estatal de Promoción del Talento y su Empleabilidad en I+D+i, Subprograma de Movilidad, del Plan Estatal de Investigación Científica y Técnica y de Innovación 2013–2016) under Grant JC2015-00284. Publisher Copyright: © 2013 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021

Y1 - 2021

N2 - The objective of this paper is to classify and analyse all research on open data performed in the scientific community from a technological viewpoint, providing a detailed exploration based on six key facets: publication venue, impact, subject, domain, life-cycle phases and type of research. This paper therefore provides a consolidated overview of the open data arena that allows readers to identify well-established topics, trends, and open research issues. Additionally, we provide an extensive qualitative discussion of the most interesting findings to pave the way for future research. Our first identification phase resulted in 893 relevant peer-reviewed articles, published between 2006 and 2019 in a wide variety of venues. Analysis of the results shows that open data research grew slowly from 2006 but increased significantly as from 2009. In 2019, research interest in open data from a technological perspective overall decreased. This fact could indicate that research is beginning to stabilise, i.e., the open data research hype is over, and the research field is reaching maturity. Main findings are (i) increasing effort in researching on Semantic Web technologies as a mechanism to publish and reuse linked open data, (ii) software systems are proposed to solve open data technical problems; and (iii) considering technological aspects of legislation and standardization is needed to widely introduce open data in society. Finally, we provide complementary insights regarding open data innovation projects, with special emphasis on publication (e.g., open data portals) and consumption (e.g., open data as business enabler) of open data.

AB - The objective of this paper is to classify and analyse all research on open data performed in the scientific community from a technological viewpoint, providing a detailed exploration based on six key facets: publication venue, impact, subject, domain, life-cycle phases and type of research. This paper therefore provides a consolidated overview of the open data arena that allows readers to identify well-established topics, trends, and open research issues. Additionally, we provide an extensive qualitative discussion of the most interesting findings to pave the way for future research. Our first identification phase resulted in 893 relevant peer-reviewed articles, published between 2006 and 2019 in a wide variety of venues. Analysis of the results shows that open data research grew slowly from 2006 but increased significantly as from 2009. In 2019, research interest in open data from a technological perspective overall decreased. This fact could indicate that research is beginning to stabilise, i.e., the open data research hype is over, and the research field is reaching maturity. Main findings are (i) increasing effort in researching on Semantic Web technologies as a mechanism to publish and reuse linked open data, (ii) software systems are proposed to solve open data technical problems; and (iii) considering technological aspects of legislation and standardization is needed to widely introduce open data in society. Finally, we provide complementary insights regarding open data innovation projects, with special emphasis on publication (e.g., open data portals) and consumption (e.g., open data as business enabler) of open data.

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Systematic mapping of open data studies: Classification and trends from a technological perspective

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