Metadata Harvesting and Quality Assurance within Open Urban Platforms

Lämmel, Philipp; Dittwald, Benjamin; Bruns, Lina; Tcholtchev, Nikolay; Glikman, Yuri; Cuno, Silke; Flügge, Mathias; Schieferdecker, Ina

doi:10.1145/3409795

Cited by 6 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Data and Smart Cities. Smart Cities are perceived as data engines [83], [159], e.g., IoT infrastructures, social networks, wearable devices, etc. generate valuable data that can be used to improve or offer new services to the citizens.…”

Section: From a Data Ecosystem Abstraction To Its Concrete Realizatio...mentioning

confidence: 99%

“…generate valuable data that can be used to improve or offer new services to the citizens. However, due to its volume and heterogeneity, the collection of data produced by Smart Cities (including the creation of related metadata) requires a non-trivial effort in the verification of its correctness and quality [159]. Metadata can describe different information sources and can be collected and catalogued within appropriate Open Data Catalogs, such as the open-source solution already mentioned CKAN.…”

Section: From a Data Ecosystem Abstraction To Its Concrete Realizatio...mentioning

confidence: 99%

See 1 more Smart Citation

Digital Transformation in the Public Administrations: A Guided Tour for Computer Scientists

Ciancarini,

Giancarlo,

Grimaudo

2024

IEEE Access

View full text Add to dashboard Cite

The goal of Digital Transformation of the Public Sector is the achievement of a better quality of life for citizens, via a more responsive and transparent administration and governance. By now it is clear that technological innovation, both in terms of computer architectures and software systems, is a crucial component of it, yet not sufficient. Indeed, a cultural, organizational and legal shift in how public organizations operate and relate to the citizens is also required. Nevertheless, computer scientists can play a key role in such a transformation and, given its impact on Society, it is essential to achieve a broader level of awareness of it and involvement in it of those scientific and professional figures. To this end, a technical map specifically designed for computer scientists, but properly placed in the context of the cultural, organizational and legal changes mentioned above, would be highly beneficial. To date, such a map is missing, to the best of our knowledge. The main contribution of this Tutorial is to provide it, together with a guided tour describing which key technological aspects enable and drive such a transformation. More specifically, based on a careful analysis of the available scholarly literature, that does not seem to include any Computer Science textbook material, a model of such a transformation is proposed, together with carefully selected examples incarnating it to show its validity: the cities of Barcelona and Chicago. Finally, a look at the future of this area is also provided. INDEX TERMSAgile Software Development, Computer systems organization Cloud computing, Computing methodologies Machine Learning, Data Knowledge and Engineering, Design and Engineering of Services for e-citizens, Digital Government, Digital Transformation.

show abstract

Section: From a Data Ecosystem Abstraction To Its Concrete Realizatio...mentioning

confidence: 99%

Section: From a Data Ecosystem Abstraction To Its Concrete Realizatio...mentioning

confidence: 99%

Digital Transformation in the Public Administrations: A Guided Tour for Computer Scientists

Ciancarini,

Giancarlo,

Grimaudo

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…, 2021). Various data sources throughout the cities produce data at an increasing scale (Lämmel et al. , 2020).…”

Section: Introductionmentioning

confidence: 99%

Beyond technology in smart cities: a multivocal literature review on data governance

Kvalvik

Sánchez‐Gordón²,

Colomo‐Palacios³

2022

AJIM

View full text Add to dashboard Cite

PurposeSmart cities require data governance to articulate data sharing and use among relevant stakeholders. Given the lack of a comprehensive examination of this research topic, this study aims to review data governance publications to detect and categorize endeavors backing up data sharing in smart cities.Design/methodology/approachA systematic literature review was conducted, and 568 academic and professional sources were identified, but finally, only 10 relevant papers were selected.FindingsResults reveal that data governance must be based on well-defined mechanisms, procedures and roles to achieve accountability and responsibility in a multi-actor environment. Moreover, data governance should be adapted to address power imbalances among all interested parties.Research limitations/implicationsThe main limitation is the list of sources considered for the literature review. However, this study provides a holistic overview for researchers and professionals willing to know more about smart city data sharing.Originality/valueThis review identifies the data governance approaches supporting data sharing in smart cities, analyzes their data dimension, enhances the state-of-the-art literature on this topic and suggests possible areas for future research.

show abstract