Systematic mapping of open data studies: classification and trends from a technological perspective
Systematic mapping of open data studies: classification and trends from a technological perspective
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.
Open data, Survey, Systematic approach
12968-12988
Enríquez-Reyes, Robert
4a88be24-dcdc-4afb-98a3-d359146b7d6c
Cadena-Vela, Susana
4c724438-917c-4978-8dd1-f85dce188e2a
Fuster-Guilló, Andrés
3ceab2fe-6b52-4ca0-a594-0aa4288cc80c
Mazón, Jose-Norberto
c4d9869f-f2f0-4281-ad20-a0783193f446
Ibáñez, Luis-Daniel
65a2e20b-74a9-427d-8c4c-2330285153ed
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
18 January 2021
Enríquez-Reyes, Robert
4a88be24-dcdc-4afb-98a3-d359146b7d6c
Cadena-Vela, Susana
4c724438-917c-4978-8dd1-f85dce188e2a
Fuster-Guilló, Andrés
3ceab2fe-6b52-4ca0-a594-0aa4288cc80c
Mazón, Jose-Norberto
c4d9869f-f2f0-4281-ad20-a0783193f446
Ibáñez, Luis-Daniel
65a2e20b-74a9-427d-8c4c-2330285153ed
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Enríquez-Reyes, Robert, Cadena-Vela, Susana, Fuster-Guilló, Andrés, Mazón, Jose-Norberto, Ibáñez, Luis-Daniel and Simperl, Elena
(2021)
Systematic mapping of open data studies: classification and trends from a technological perspective.
IEEE Access, 9, , [9326343].
(doi:10.1109/ACCESS.2021.3052025).
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.
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Systematic Mapping of Open Data Studies
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Accepted/In Press date: 3 January 2021
Published date: 18 January 2021
Additional Information:
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.
Keywords:
Open data, Survey, Systematic approach
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Local EPrints ID: 446366
URI: http://eprints.soton.ac.uk/id/eprint/446366
ISSN: 2169-3536
PURE UUID: 6435129b-fd40-47d1-97bf-2aa3015d6fcb
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Date deposited: 05 Feb 2021 17:31
Last modified: 17 Mar 2024 03:39
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Contributors
Author:
Robert Enríquez-Reyes
Author:
Susana Cadena-Vela
Author:
Andrés Fuster-Guilló
Author:
Jose-Norberto Mazón
Author:
Luis-Daniel Ibáñez
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