Roadblocks Hindering the Reuse of Open Geodata in Colombia and Spain: A Data User’s Perspective

Benitez-Paez, Fernando; Degbelo, Auriol; Trilles, Sergio; Huerta, Joaquín

doi:10.3390/ijgi7010006

Cited by 23 publications

(32 citation statements)

References 30 publications

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“…This question was addressed in the following way. Initially, a set of barriers were identified to help define a taxonomy to validate what the most critical frictions were regarding the re‐usability level of open geographic data in cities from a data user's perspective (Benitez‐Paez et al, ). Once the obstacles were confirmed, data users were consulted about their concerns and what the priorities should be that any open data initiative requires to enhance its re‐usability level.…”

Section: Methodsmentioning

confidence: 99%

“…(), Welle Donker and van Loenen (), Benitez‐Paez et al. ()Identification of users’ and re‐users’ needsKassen (), Janssen and Zuiderwijk (), Williamson and Eisen (), Benitez‐Paez et al. ()User‐focused metadataComber et al.…”

Section: Methodsmentioning

confidence: 99%

“…Based on the suggestions mentioned above, plus recommendations from Benitez‐Paez et al () to overcome current data users’ barriers to reuse of open geographic data in cities, we have identified a list of recommendations (see Appendix A). This list was validated and ranked during the last participatory workshop in Valencia, in collaboration with the good government city hall office and Las Naves.…”

Section: The Conceptual Frameworkmentioning

confidence: 99%

“…This article is the second stage of research described by Benitez‐Paez, Degbelo, Trilles, and Huerta () that considered barriers to the reuse of open geo data from the user's perspective and developed a taxonomy of current reuse obstacles. This article suggests a conceptual framework to help local authorities re‐define their current open data strategies and improve re‐usability levels in light of user requirements.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Creating a conceptual framework to improve the re‐usability of open geographic data in cities

Benitez-Paez

Comber

Trilles

et al. 2018

Transactions in GIS

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Open data has a profound effect on the working environment within which information is created and shared at all levels. At the local government level, open data initiatives have resulted in higher transparency in policy, a greater engagement between decisionmakers and citizens, and have changed the culture about how data analysis and evidence are used to support local governance. This article, based on data collected through an on-line survey, participatory workshops with data user communities in four cities (in Colombia and Spain), and interviews with Valencia's good-government office, identifies four elements for a conceptual framework to improve the reusability of open geographic data in cities. The essential elements defined in this research are the definition of data user communities and their needs, the creation of the community of reuse, user-focused metadata, and reuse-focused legal terms. The definition of these indicators provides a framework for authorities to re-shape their current open data strategy to include data user requirements. At the end of this article, a roadmap for future research and implementation is presented, considering some reflections on the conceptual framework.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: The Conceptual Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Creating a conceptual framework to improve the re‐usability of open geographic data in cities

Benitez-Paez

Comber

Trilles

et al. 2018

Transactions in GIS

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“…Within GIScience, re-use of these datasets has attracted the interest from research, and previous work has suggested, inter alia, semantic application programming interfaces to retrieve datasets according to their thematic categories [16], a platform to monitor open data re-use [14], a one-stop portal for open data search [23], and a vision of intelligent geovisualization to exploit these datasets [15]. Direct and indirect costs of open geospatial data provision were discussed in [29]; Benitez-Paez et al [5] presented an empirically-derived taxonomy of barriers to open data re-use from a user's standpoint; and Benitez-Paez et al [4] proposed a conceptual framework to improve the reusability of open geographic data in cities.…”

Section: Introductionmentioning

confidence: 99%

Spatial search strategies for open government data

Degbelo

Teka

2019

Proceedings of the 13th Workshop on Geographic Information Retrieval

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The increasing availability of open government datasets on the Web calls for ways to enable their efficient access and searching. There is however an overall lack of understanding regarding spatial search strategies which would perform best in this context. To address this gap, this work has assessed the impact of different spatial search strategies on performance and user relevance judgment. We harvested machine-readable spatial datasets and their metadata from three English-based open government data portals, performed metadata enhancement, developed a prototype and performed both a theoretical and user-based evaluation. The results highlight that (i) switching between area of overlap and Hausdorff distance for spatial similarity computation does not have any substantial impact on performance; and (ii) the use of Hausdorff distance induces slightly better user relevance ratings than the use of area of overlap. The data collected and the insights gleaned may serve as a baseline against which future work can compare.

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Understanding the process of data reuse: An extensive review

Wang

Duan

Liang

2021

Asso for Info Science & Tech

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Data reuse has recently become significant in academia and is providing new impetus for academic research. This prompts two questions: What precisely is the data reuse process? What is the connection between each participating element? To address these issues, 42 studies were reviewed to identify the stages and primary data reuse elements. A meta‐synthesis was used to locate and analyze the studies, and inductive coding was used to organize the analytical process. We identified three stages of data reuse—initiation, exploration and collection, and repurposing—and explored how they interact and form iterative characteristics. The results illuminated the data reuse at each stage, including issues of data trust, data sources, scaffolds, and barriers. The results indicated that multisource data and human scaffolds promote reuse behavior effectively. Further, two data and information search patterns were extracted: reticular centripetal patterns and decentralized centripetal patterns. Three paths with elements cooperating through flexible functions and motivated by different action items were identified: data centers, human scaffolds, and publications. This study supports improvements for data infrastructure construction, data reuse, and data reuse research by providing a new perspective on the effect of information behavior and clarifying the stages and contextual relationships between various elements.

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Roadblocks Hindering the Reuse of Open Geodata in Colombia and Spain: A Data User’s Perspective

Cited by 23 publications

References 30 publications

Creating a conceptual framework to improve the re‐usability of open geographic data in cities

Creating a conceptual framework to improve the re‐usability of open geographic data in cities

Spatial search strategies for open government data

Understanding the process of data reuse: An extensive review

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