This dataset contains data collected during a study ("An Integrated Usability Framework for Evaluating Open Government Data Portals: Comparative Analysis of EU and GCC Countries") conducted by Fillip Molodtsov and Anastasija Nikiforova (University of Tartu).

It being made public both to act as supplementary data for the paper and in order for other researchers to use these data in their own work potentially contributing to the improvement of current data ecosystems and develop user-friendly, collaborative, robust, and sustainable open data portals.

Purpose of the study

This paper develops an integrated framework for evaluating OGD portal effectiveness that accommodates user diversity (regardless of their data literacy and language), evaluates collaboration and participation, and the ability of users to explore and understand the data provided through them.

The framework is validated by applying it to 33 national portals across European Union (EU) and Gulf Cooperation Council (GCC) countries, as a result of which we rank OGD portals, identify some good practices that lower-performing portals can learn from, and common shortcomings.

Methodology

(1) systematic literature review to establish a knowledge base and identify frameworks have been used to evaluate OGD portals, we conducted a systematic literature review - Dataset_ Usability_Framework_SLR;

(2) development of the Integrated Usability Framework for Evaluating Open Government Data Portals, which content is based on the outputs of the first step, along with selected articles of experts in portal design, and an exploratory assessment of the French, Irish, Estonian and Spanish portals - Dataset_Integrated_Usability_Framework;

(3) data collection, that is a completion of the protocol developed in the previous step by analysing 34 national OGD portals of the EU and GCC countries. When all individual protocols were collected, the total score are calculated using the weighting system. The average scores are calculated for the EU and GCC. The portals are ranked. The top portals (best performers) are determined for each dimension - Dataset_EU_GCC_OGDportal_Usability_results_clustering.

(4) identification of relationships and patterns among different portals based on their performance metrics as a result of the cluster analysis. By calculating the average dimensional scores of portals from both types of clusters, their performance across multiple dimensions is evaluated - Dataset_EU_GCC_OGDportal_Usability_results_clustering.

For more details see Molodtsov, F., Nikiforova, A. (2024). “An Integrated Usability Framework for Evaluating Open Government Data Portals: Comparative Analysis of EU and GCC Countries”. In Proceedings of the 25th Annual International Conference on Digital Government Research (DGO 2024), June 11--14, 2024, Taipei, Taiwan, 10.1145/3657054.3657159

Format of the file

.xls, .csv

Licenses or restrictions

CC-BY

The Oomycete Genomics Database is a publicly accessible resource that includes functional assays and expression data, combined with transcript and genomic analysis and annotation. OGD builds upon data available from the Phytophthora Genome Consortium, Syngenta Phytophthora Consortium and the Phytophthora Functional Genomics Database. Data are analyzed and annotated using NCGR''s XGI System. The knowledge gained from these studies provide significant insight into key molecular processes regulating an economically important pathosystem and will provide novel tools for improvement of disease resistance in crop plants.

In 2020, 79 percent of UN Member States had a national open government data (OGD) portal, up from 47 percent in 2018. In addition, 59 percent of countries had a national OGD policy as of the last recorded period.

This dataset contains data collected during a study "Smarter open government data for Society 5.0: are your open data smart enough" (Sensors. 2021; 21(15):5204) conducted by Anastasija Nikiforova (University of Latvia). It being made public both to act as supplementary data for "Smarter open government data for Society 5.0: are your open data smart enough" paper and in order for other researchers to use these data in their own work.

The data in this dataset were collected in the result of the inspection of 60 countries and their OGD portals (total of 51 OGD portal in May 2021) to find out whether they meet the trends of Society 5.0 and Industry 4.0 obtained by conducting an analysis of relevant OGD portals.

Each portal has been studied starting with a search for a data set of interest, i.e. “real-time”, “sensor” and “covid-19”, follwing by asking a list of additional questions. These questions were formulated on the basis of combination of (1) crucial open (government) data-related aspects, including open data principles, success factors, recent studies on the topic, PSI Directive etc., (2) trends and features of Society 5.0 and Industry 4.0, (3) elements of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use Model (UTAUT).

The method used belongs to typical / daily tasks of open data portals sometimes called “usability test” – keywords related to a research question are used to filter data sets, i.e. “real-time”, “real time” and “real time”, “sensor”, covid”, “covid-19”, “corona”, “coronavirus”, “virus”. In most cases, “real-time”, “sensor” and “covid” keywords were sufficient. The examination of the respective aspects for less user-friendly portals was adapted to particular case based on the portal or data set specifics, by checking: 1. are the open data related to the topic under question ({sensor; real-time; Covid-19}) published, i.e. available? 2. are these data available in a machine-readable format? 3. are these data current, i.e. regularly updated? Where the criteria on the currency depends on the nature of data, i.e. Covid-19 data on the number of cases per day is expected to be updated daily, which won’t be sufficient for real-time data as the title supposes etc. 4. is API ensured for these data? having most importance for real-time and sensor data; 5. have they been published in a timely manner? which was verified mainly for Covid-19 related data. The timeliness is assessed by comparing the dates of the first case identified in a given country and the first release of open data on this topic. 6. what is the total number of available data sets? 7. does the open government data portal provides use-cases / showcases?
8. does the open government portal provide an opportunity to gain insight into the popularity of the data, i.e. does the portal provide statistics of this nature, such as the number of views, downloads, reuses, rating etc.? 9. is there an opportunity to provide a feedback, comment, suggestion or complaint? 10. (9a) is the artifact, i.e. feedback, comment, suggestion or complaint, visible to other users?

Format of the file .xls, .ods, .csv (for the first spreadsheet only)

Licenses or restrictions CC-BY

For more info, see README.txt

The OGD App Observatory publishes metadata about applications (i.e., Apps) created based on the Open Government Data. This metadata is described in terms of a newly proposed OGDA ontology and is exposed as Linked Open Data. An LOD interface and a SPARQL endpoint are provided. Additionally, this metadata can be browsed and analysed through an intuitive visual interface. The metadata about the OGD apps has been collected both by automated processing of relevant RSS feeds and by manual expert analysis. For example, a group of master students determined by inspection the type of the app creator (Government, Individual and Organization), the domain that the application is most relevant for (e.g., Health, Transportation, Education) or the sustainability aspect best supported by the app (economic, social, environmental).

The data set contains the survey questions used to evaluate the Open Government Data-Citizen Engagement Model (OGD-CEM). Two versions of the questionnaire were uploaded: one in English and another one in Indonesian. The questionnaire was used to collect data from international open data users to understand the factors that influence their intention to engage with OGD. It is a supplement of the dissertation titled "Citizen Engagement with Open Government Data: A Model for Analyzing Factors Influencing Citizen Engagement."

Open Government Data (OGD) has the potential to support social and economic progress. However, this potential can be frustrated if this data remains unused. Although the literature suggests that OGD datasets' metadata quality is one of the main factors affecting their use, to the best of our knowledge, no quantitative study provided evidence of this relationship. Considering about 400,000 datasets of 28 national, municipal, and international OGD portals, we have programmatically analyzed their usage, their metadata quality, and the relationship between the two. Our analysis has highlighted three main findings. First of all, regardless of their size, the software platform adopted, and their administrative and territorial coverage, most OGD datasets are underutilized. Second, OGD portals pay varying attention to the quality of their datasets’ metadata. Third, we did not find clear evidence that datasets usage is positively correlated to better metadata publishing practices. Finally, we have considered other factors, such as datasets’ category, and some demographic characteristics of the OGD portals, and analyzed their relationship with datasets usage, obtaining partially affirmative answers.

The dataset consists of three zipped CSV files, containing the collected datasets' usage data, full metadata, and computed quality values, for about 400,000 datasets belonging to the 8 national, 4 international, and 16 US municipalities OGD portals considered in the study.

Data collection occurred in the period: 2019-12-19 -- 2019-12-23.

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Portal #Datasets Platform

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US 261,514 CKAN

France 39,412 Other

Colombia 9,795 Socrata

IE 9,598 CKAN

Slovenia 4,892 CKAN

Poland 1,032 Other

Latvia 336 CKAN

Puerto Rico 178 Socrata

New York, NY 2,771 Socrata

Baltimore, MD 2,617 Socrata

Austin, TX 2,353 Socrata

Chicago, IL 1,368 Socrata

San Francisco, CA 1,001 Socrata

Dallas, TX 1,001 Socrata

Los Angeles, CA 943 Socrata

Seattle, WA 718 Socrata

Providence, RI 288 Socrata

Honolulu, HI 244 Socrata

New Orleans, LA 215 Socrata

Buffalo, NY 213 Socrata

Nashville, TN 172 Socrata

Boston, MA 170 CKAN

Albuquerque, NM 60 CKAN

Albany, NY 50 Socrata

HDX 17,325 CKAN

EUODP 14,058 CKAN

NASA 9,664 Socrata

World Bank Finances 2,177 Socrata

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The three datasets share the same table structure:

Table Fields

• portalid: portal identifier
• id: dataset identifier
• engine: identifier of the supporting portal platform: 1(CKAN), 2 (Socrata)
• admindomain: 1 (National), 2 (US), 3 (International)
• downloaddate: date of data collection
• views: number of total views for the dataset
• downloads: number of total downloads for the dataset
• overallq: overall quality values computed by applying the methodology presented by Neumaier et al. in [1]
• qvalues: json object containing the quality values computed for the 17 metrics presented in by Neumaier et al. [1]
• assessdate: date of quality assessment
• metadata: the overall dataset's metadata downloaded via API from the portal according to the supporting platform schema

[1] Neumaier, S.; Umbrich, J.; Polleres, A. Automated Quality Assessment of Metadata Across Open Data Portals.J. Data and Information Quality2016,8, 2:1–2:29. doi:10.1145/2964909

The data on the use of the data sets on the OGD portal BL (data.bl.ch) are collected and published by the specialist and coordination office OGD BL. Contains the day the usage was measured.dataset_title: The title of the dataset_id record: The technical ID of the dataset.visitors: Specifies the number of daily visitors to the record. Visitors are recorded by counting the unique IP addresses that recorded access on the day of the survey. The IP address represents the network address of the device from which the portal was accessed.interactions: Includes all interactions with any record on data.bl.ch. A visitor can trigger multiple interactions. Interactions include clicks on the website (searching datasets, filters, etc.) as well as API calls (downloading a dataset as a JSON file, etc.).RemarksOnly calls to publicly available datasets are shown.IP addresses and interactions of users with a login of the Canton of Basel-Landschaft - in particular of employees of the specialist and coordination office OGD - are removed from the dataset before publication and therefore not shown.Calls from actors that are clearly identifiable as bots by the user agent header are also not shown.Combinations of dataset and date for which no use occurred (Visitors == 0 & Interactions == 0) are not shown.Due to synchronization problems, data may be missing by the day.

Cooperación OGD Austria ha desarrollado muchas ideas para el desarrollo de Open Government Data en Austria en un taller de innovación. El objetivo es poner los datos de gobierno abierto sobre una base sostenible y desarrollar medidas para ello.

The OGD App Observatory publishes metadata about applications (i.e., Apps) created based on the Open Government Data. This metadata is described in terms of a newly proposed OGDA ontology and is exposed as Linked Open Data. An LOD interface and a SPARQL endpoint are provided. Additionally, this metadata can be browsed and analysed through an intuitive visual interface.

The metadata about the OGD apps has been collected both by automated processing of relevant RSS feeds and by manual expert analysis. For example, a group of master students determined by inspection the type of the app creator (Government, Individual and Organization), the domain that the application is most relevant for (e.g., Health, Transportation, Education) or the sustainability aspect best supported by the app (economic, social, environmental).

Open government data (OGD) are critical for environmental justice (EJ) policymaking, characterized by power differentials and information asymmetries between government agencies, affected populations, and advocacy and interest groups. We contend that not only should state governments provide OGD, but they should remove burdens associated with its access and use to address the data divide and facilitate participation of vulnerable populations in policymaking. Applying a user-oriented approach, this article evaluates the degree of completeness, usability, and accessibility of EJ-OGD initiatives across the 50 US states. Results show that only one out of five states achieves at least half points on our EJ-OGD Implementation Score, suggesting that most states do not provide OGD to answer two core EJ questions: “To what extent is my community exposed to environmental harms and health hazards? Is the exposure disproportionately high given the community’s socioeconomic characteristics?” We discuss implications for equity and next steps for government.

The OGD Lab provides analysis tools and demos based on OGD and complementary open data sources. The Lab Repository includes a collection of Python tools for data preparation and analysis, as well as numerous Jupyter notebooks with illustrative examples.

The EO-WIDGET project aimed at developing a robust technological chain linking EO data processed in cloud environments to a web interface that delivers the data and the results towards the end users. The Agri service platform integrates mini-applications providing visualization access to monitoring products and related quality assessments, while at the same time supporting expert judgment and user activities in a GIS environment. One of the key points is that the end-user platform presents real-time-processed EO signals, while the back-end processing can be distributed among several cloud locations and processing chains. The Agri service platform is designed with full interoperability in mind, allowing * to consume data products upstream from service providers of choice and * to serve downstream APIs consumed by WebGUI applications like the AgriApp or by data-exchange logic to integrate with the Paying Agency's environment. Monitoring products from multiple sources can be sustained in the platform and analysed there for conformance and quality. A monitoring product is the combination of EO signals, vegetation status indexes, spatial indicators and markers derived for a predefined group of declared parcels. The applied decision parameters are combined along the rules defined by the Paying Agencies. The app also offers to “look behind the algorithm”, by which it can become the user interface of fine tuning or setting the acceptance limits of automatized image processing.

The link between open government data (OGD) policy and firm performance.

Providing access to non-confidential government data to the public is one of the initiatives adopted by many governments today to embrace government transparency practices. The initiative of publishing non-confidential government data for the public to use and re-use without restrictions is known as Open Government Data (OGD). Nevertheless, after several years after its inception, the direction of OGD implementation remains uncertain. The extant literature on OGD adoption concentrates primarily on identifying factors influencing adoption decisions. Yet, studies on the underlying factors influencing OGD after the adoption phase are scarce. Based on these issues, this study investigated the post-adoption of OGD in the public sector, particularly the data provider agencies. The OGD post-adoption framework is crafted by anchoring the Technology–Organization–Environment (TOE) framework and the innovation adoption process theory. The data was collected from 266 government agencies in the Mala...

Verfügbar sind Datensätze im CSV-Format des Datenmonitorings OGD Cockpit http://ogdcockpit.bonn.de. Die Datensätze wurden mit Hilfe von Piwik in eigenem Hosting generiert.

Analysis of ‘OGD Metadaten – Mapping zu Vokabularen’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/885a9a36-6f46-4a16-a84f-1234cdc4b8a5 on 15 January 2022.

--- Dataset description provided by original source is as follows ---

Gegenüberstellung von OGD Metadaten Österreich zu anderen Standards (CKAN, A 2270:2010;ON A 2270:2016;ON/EN/ISO 19115:2003;ON/EN/ISO 19115-1:2014;RDF property bis V 2.3;RDF property ab V 2.4;XML OeGov;). Die Erstellung eines Mapping ist aus der vorliegenden Tabelle möglich.

--- Original source retains full ownership of the source dataset ---

Ogdvccvcd. Visit https://dataone.org/datasets/sha256%3A8e62ce17418ed8dda2b8bd5ddfd26cf405d5f7356deca780568a3d514a31737d for complete metadata about this dataset.

In a survey process from June to mid-September 2017, data were examined in the 13 federal ministries for their open data suitability. This report contains a summary, a statement on the survey process, the results of the ministries and final recommendations.

Comparison of OGD metadata Austria with other standards (CKAN, A 2270:2010;ON A 2270:2016;ON/EN/ISO 19115:2003;ON/EN/ISO 19115-1:2014;RDF property up to V 2.3;RDF property from V 2.4;XML OeGov;). It is possible to create a mapping from this table.