Análisis multidimensional de los portales de datos abiertos autonómicos españoles

Curto-Rodríguez, Ricardo

doi:10.3989/redc.2021.1.1745

Cited by 5 publications

(1 citation statement)

References 40 publications

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“…However, data alone cannot add value. They must be adequate and of sufficient quality, with a double objective: (i) to facilitate adequate decision-making [2,3]; and (ii) to generate transparency, trust, and knowledge, enabling society to be more efficient [4].…”

Section: Introductionmentioning

confidence: 99%

Challenges in Geocoding: An Analysis of R Packages and Web Scraping Approaches

Pérez,

Aybar

2024

IJGI

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Georeferenced data are crucial for addressing societal spatial challenges, as most corporate and governmental information is location-compatible. However, many open-source solutions lack automation in geocoding while ensuring quality. This study evaluates the functionalities of various R packages and their integration with external APIs for converting postal addresses into geographic coordinates. Among the fifteen R methods/packages reviewed, tidygeocoder stands out for its versatility, though discrepancies in processing times and missing values vary by provider. The accuracy was assessed by proximity to original dataset coordinates (Madrid street map) using a sample of 15,000 addresses. The results indicate significant variability in performance: MapQuest was the fastest, ArcGIS the most accurate, and Nominatim had the highest number of missing values. To address these issues, an alternative web scraping methodology is proposed, substantially reducing the error rates and missing values, but raising potential legal concerns. This comparative analysis highlights the strengths and limitations of different geocoding tools, facilitating better integration of geographic information into datasets for researchers and social agents.

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Section: Introductionmentioning

confidence: 99%

Challenges in Geocoding: An Analysis of R Packages and Web Scraping Approaches

Pérez,

Aybar

2024

IJGI

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Criteria for the identification of ineffective open data portals: pretender open data portals

Abella

Ortiz‐de‐Urbina‐Criado

Heredero

2022

EPI

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Open data are considered an essential resource for governments, businesses, and citizens. In that context, open data portals have potential for creating enormous economic growth. Open data portals should allow the reuse of open data, ensure the efficiency of data transmission, and enable professional initiatives based on data reuse. However, there are portals that are inefficient because they do not allow reuse of their data. The objective of this work is to define and identify open data portals that do not offer the possibility for professional reuse of their data. We refer to them as “pretender open data portals”. The following research questions are considered herein: What minimum criteria must an open data portal satisfy to enable professional reuse of open data? How can portals that do not meet these criteria be identified? And, what problems might these portals present, and how they might be solved? The results of an analysis of two samples of open data portals in Spain reveal that 63.8% and 56.1% of the portals analyzed in 2019 and 2021, respectively, can be considered pretender open data portals. The existence of pretender open data portals can have negative economic and social impacts, such as wasting public resources and projecting a negative image of the government’s open data policies. To find coordination mechanisms to develop open data portals that, through the professional re-use of their data can create economic and social value, is one important challenge. The analysis of best practices of open data portals can be also a way to go in deep in the understanding of open data reuse impact not only from a professional standpoint.

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Datos abiertos para la creación de valor: atención e interés para el marketing

Curto Rodríguez

2024

epsir

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Introducción: La divulgación de información en manos del sector público mediante datos abiertos se ha consolidado a nivel mundial. Dentro de la diversa tipología de los datos abiertos, la información demográfica presenta un elevado interés para el marketing al constituir una variable útil para realizar segmentaciones de mercados. Metodología: Se procede a revisar los conjuntos de datos autonómicos en abril de 2024 observando que, de los casi 40 000 conjuntos de datos existentes, aproximadamente unos 7 000 presentan la etiqueta “Demografía”. Resultados: En este apartado muestra una aproximación al contenido de datos demográficos a nivel autonómico. Discusión: Se aprecian diferencias inter autonómicas muy importantes tanto en el número de datasets, porcentaje respecto al total autonómico, información contenida e incluso en la formulación de los conjuntos de datos. Conclusiones: A pesar de que existen datos poblacionales relevantes, la heterogeneidad observada dificulta su tratamiento automatizado y, por tanto, la creación de valor, bien sea por empresas infomediarias como por institutos de investigación de mercados.

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Análisis multidimensional de los portales de datos abiertos autonómicos españoles

Cited by 5 publications

References 40 publications

Challenges in Geocoding: An Analysis of R Packages and Web Scraping Approaches

Challenges in Geocoding: An Analysis of R Packages and Web Scraping Approaches

Criteria for the identification of ineffective open data portals: pretender open data portals

Datos abiertos para la creación de valor: atención e interés para el marketing

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