SODAS: Smart Open Data as a Service for Improving Interconnectivity and Data Usability

Won, Heesun; Han, Jin-Tae; Gil, Myeong-Seon; Moon, Yang-Sae

doi:10.3390/electronics12051237

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…It is vital to address these challenges to harness its benefits effectively. In another study [39], the SODAS platform was introduced as a solution for efficient open data sharing. The platform, based on CKAN and DCATv2, addresses five key issues and presents three core strategies to tackle them.…”

Section: Accessibility and User Experience Of Open Datamentioning

confidence: 99%

Synchronization and Standardization of Open Data Platforms: A Systematic Literature Review

Hyseni,

Bexheti

2024

TEM Journal

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This study is a systematic review that intends to improve our knowledge of the ideas of open data synchronization and standardization by reviewing the methodology and instruments utilized in previous studies through a careful examination of accessible literature. The methodology of this study was developed in several key phases. Firstly, a search was conducted in electronic databases to identify relevant studies in the field for Open Government Data (OGD). After identifying the studies, they were carefully reviewed through an initial abstract-based screening process. In the next phase, the research design and sample used in each identified study were analyzed to assess their quality and reliability. Subsequently, data from the studies were analyzed and categorized into various categories, including the usability of open data, synchronization, scalability, and reliability. The gained results highlight the importance of open data in our information-driven society. Open data positively impact transparency, anti-corruption efforts, and free access to information. To achieve these benefits, it is crucial to standardize and license open data, giving priority to their usability. The study underscores the importance of open data for transparency, innovation, and citizen engagement. Despite the disadvantages, this technology has the potential to change how governments and society use data.

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Section: Accessibility and User Experience Of Open Datamentioning

confidence: 99%

Synchronization and Standardization of Open Data Platforms: A Systematic Literature Review

Hyseni,

Bexheti

2024

TEM Journal

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“…Most datasets were obtained from Medicare under terms and conditions of use and security caveats. We choose one of them from the Socrata [4], Open Data API (SODA) [22]. Data facilitated in Socrata destinations are accessed using SODA software.…”

Section: Datasetsmentioning

confidence: 99%

Enhancing healthcare services recommendation through sentiment analysis

Rana,

Nawaz,

Ali

et al. 2023

Acta Universitatis Sapientiae, Informatica

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As technology advances, most people use social media sites like Twitter, Facebook, and Flickr to share information and communicate with others. The volume of free-text data is growing daily due to the widespread use of these social media platforms. These platforms contain a substantial amount of unstructured information. Patient opinions expressed on social media platforms play a significant role in healthcare improvement and impact health-related policymaking. In this research, we introduce a machine learning approach for the optimal identification of healthcare-related features. This approach is based on a novel synthetic method. Additionally, we employ an entropy-based technique to classify free-text comments from hospital data into positive, negative or neutral. The experimental results and evaluations show 85%, 82.3%, 78.2% and 87% accuracy between ratings of health care. We observed that there is a minor association between our technique, expert opinion and patient interviews. Through the use of machine learning techniques, we achieve an accuracy level that suggests we are capable of providing an accurate and reasonable assessment of the ideal healthcare center for a patient. Our proposed novel framework predicts the healthcare experience at hospitals based on patient reviews posted on social media. This innovative approach outperforms traditional methods, such as surveys and expert opinions.

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“…In [ 22 ] authors identified several problems on the CKAN-based Open Data portals ranging from data management limitation, to no real-time features or absence of interconnection standard, and proposes a solution for improving interconnectivity and data usability expanding the CKAN services. However, it still focuses on the harmonisation of datasets metadata rather than on addressing the challenge of contributing to the usability of the data itself.…”

Section: Introductionmentioning

confidence: 99%

A Connector for Integrating NGSI-LD Data into Open Data Portals

Martín,

Lanza,

González

et al. 2024

Sensors

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Nowadays, there are plenty of data sources generating massive amounts of information that, combined with novel data analytics frameworks, are meant to support optimisation in many application domains. Nonetheless, there are still shortcomings in terms of data discoverability, accessibility and interoperability. Open Data portals have emerged as a shift towards openness and discoverability. However, they do not impose any condition to the data itself, just stipulate how datasets have to be described. Alternatively, the NGSI-LD standard pursues harmonisation in terms of data modelling and accessibility. This paper presents a solution that bridges these two domains (i.e., Open Data portals and NGSI-LD-based data) in order to keep benefiting from the structured description of datasets offered by Open Data portals, while ensuring the interoperability provided by the NGSI-LD standard. Our solution aggregates the data into coherent datasets and generate high-quality descriptions, ensuring comprehensiveness, interoperability and accessibility. The proposed solution has been validated through a real-world implementation that exposes IoT data in NGSI-LD format through the European Data Portal (EDP). Moreover, the results from the Metadata Quality Assessment that the EDP implements, show that the datasets’ descriptions generated achieve excellent ranking in terms of the Findability, Accessibility, Interoperability and Reusability (FAIR) data principles.

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SODAS: Smart Open Data as a Service for Improving Interconnectivity and Data Usability

Cited by 3 publications

References 13 publications

Synchronization and Standardization of Open Data Platforms: A Systematic Literature Review

Synchronization and Standardization of Open Data Platforms: A Systematic Literature Review

Enhancing healthcare services recommendation through sentiment analysis

A Connector for Integrating NGSI-LD Data into Open Data Portals

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