Applying an Enterprise Data Model in Government:

Harrison, Teresa M.; Canestraro, Donna; Pardo, Theresa A.; Avila-Maravilla, Martha A.; Soto, Nicolas; Sutherland, Megan; Burke, Gerald; Gascó, Mila

doi:10.1145/3325112.3325219

Cited by 6 publications

(5 citation statements)

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“…1. In the context of the PA, data are both an asset to exploit and a social "infrastructure" useful for policy makers and citizens to take informed decisions and improve the wellbeing of society [43,44]. However, for their profitable use, major problems arise in data governance and management [45], specifically in regard to quality assurance [46,47], security and privacy [48][49][50].…”

Section: The Need For New Professional Figuresmentioning

confidence: 99%

Scrum@PA: Tailoring an Agile Methodology to the Digital Transformation in the Public Sector

Ciancarini,

Giancarlo,

Grimaudo

2024

Information

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Digital transformation in the public sector provides digital services to the citizens aiming at increasing their quality of life, as well as the transparency and accountability of a public administration. Since adaptation to the citizens changing needs is central for its success, Agile methodologies seem best suited for the software development of digital services in that area. However, as well documented by an attempt to use Scrum for an important Public Administration in Italy, substantial modifications to standard Agile were needed, giving rise to a new proposal called improved Agile (in short, iAgile). Another notable example is the Scrum@IMI method developed by the City of Barcelona for the deployment of its digital services. However, given the importance of digital transformation in the public sector and the scarcity of efforts (documented in the scholarly literature) to effectively bring Agile within it, a strategically important contribution that Computer Science can offer is a general paradigm describing how to tailor Agile methodologies and, in particular, Scrum, for such a specific context. Our proposal, called Scrum@PA, addresses this strategic need. Based on it, a public administration has a technically sound avenue to follow to adopt Scrum rather than a generic set of guidelines as in the current state of the art. We show the validity of our proposal by describing how the quite successful Scrum@IMI approach can be derived from Scrum@PA. Although iAgile can also be derived from our paradigm, we have chosen Scrum@IMI as a pilot example since it is publicly available on GitHub.

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Section: The Need For New Professional Figuresmentioning

confidence: 99%

Scrum@PA: Tailoring an Agile Methodology to the Digital Transformation in the Public Sector

Ciancarini,

Giancarlo,

Grimaudo

2024

Information

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“…As far as this Tutorial is concerned, it is important to point out that data are no longer seen as an asset to exploit for a competitive advantage, but as a social ''infrastructure'' that must be made available to policy makers and citizens to ensure and improve the well-being of Society [22], [23]. With this in mind, more and more PAs are making available their data to improve transparency and accountability [17], [24]- [28].…”

Section: A a Graph Model For Dtmentioning

confidence: 99%

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

Ciancarini,

Giancarlo,

Grimaudo

2024

IEEE Access

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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.

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“…Data exchange talks about how the process of exchanging data between two entities that are related either locally or at a level above, interoperability, and modularity will change from a centralized system to a distributed, modular, and reusable system, while data quality talks about the focus for review at a certain time on data quality and monitoring of data quality. Furthermore, in this study, it was explained that data exchange is technically possible and can be carried out, but is not simple in terms of governance, and data quality is considered to need special attention (Harrison et al, 2019). In another study in 2020 conducted by Van Donge, it is evident that in carrying out data-based electronic governance, several aspects must be fulfilled, namely making policies on data formally, formulating policies on sharing data explicitly, and creating an external data access mechanism.…”

Section: Data Governancementioning

confidence: 99%

“…Several crucial aspects of data governance are highlighted in this study, including data exchange, interoperability and modularity, and data quality. Data exchange describes how the process of exchanging data between two entities that are related either locally or at a higher level, interoperability, and modularity will change from a centralized system to a distributed, modular, and reusable system, whereas data quality describes the focus for review at a certain time on data quality and data quality monitoring (Harrison et al, 2019). Furthermore, Data considered as an organizational asset make its management and utilization more optimal.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, Harrsion explains that data exchange is technically feasible and can be executed, but it is not simple in terms of governance and that data quality requires special attention (Harrison et al, 2019). In a 2020 study conducted by Van Donge, it was determined that, in order to implement data-based electronic governance, several requirements must be met, including the formalization of data policies, the formulation of explicit data sharing policies, and the establishment of an external data access mechanism.…”

Section: Introductionmentioning

confidence: 99%

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Data Governance Model For Nation-Wide Non-Profit Organization

Paramita,

Prabowo,

Ramadhan

et al. 2023

JAETS

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According to Connolly's (2017) research, the context of nonprofit organizations exhibits variations when compared to commercial organizations or businesses, as supported by Zhang's (2010) study. Hence, it is imperative for both theoretical and empirical studies to contribute towards enhancing our comprehension of the strategy, implementation, and utilization of information systems in the specific context of nonprofit organizations. The investigation of information systems within the context of non-profit organizations offers a promising avenue for advancing the field of information systems research. This study focuses on the development of an information systems framework using the soft systems methodology, which has already been established. One opportunity for the advancement of information systems in non-profit organizations lies in the establishment of a comprehensive framework that facilitates adoption and is accompanied by robust data governance. This framework enables the analysis of data and the generation of valuable insights, thereby contributing to the development of information systems in the non-profit sector. The choice of data governance was informed by Zhang's (2010) research, which demonstrated that non-profit organizations face significant obstacles in the form of privacy and data security concerns. Furthermore, it is apparent that the preservation of data privacy plays a crucial role in the acceptance and utilization of information systems within non-profit entities. This research aims to contribute to the resolution of the issue by establishing a governance framework for information systems that effectively communicates to users the absence of data privacy risks associated with the systems employed by organizations. The objective of this study is to create a data governance model that will fill the research gap mentioned earlier and make a valuable contribution to the field of information systems research. The formation of the data governance model will involve the integration of soft systems methodology and the DAMA framework. The outcome of this study will be a data governance model specifically designed for a nationwide non-profit organization that utilizes microservices as its cutting-edge technology.

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Applying an Enterprise Data Model in Government:

Cited by 6 publications

References 1 publication

Scrum@PA: Tailoring an Agile Methodology to the Digital Transformation in the Public Sector

Scrum@PA: Tailoring an Agile Methodology to the Digital Transformation in the Public Sector

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

Data Governance Model For Nation-Wide Non-Profit Organization

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