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Record W3035103801 · doi:10.1016/j.patter.2020.100047

The Uruguayan Digital Data Journey

2020· article· en· W3035103801 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePatterns · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBig Data and Business Intelligence
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Currently, Uruguayans use technological solutions in their everyday lives so much and in such an intensive manner that they have turned Uruguay into the most advanced digital society in the region. Furthermore, Uruguay has received international recognitions for the quality of its digital government, information security, interoperability, citizen service, e-participation, online services, personal data protection, access to public information, and electronic signature solutions. These advances have allowed the country to quickly improve its position at an international level, making a difference due to its innovative approach to Digital Government policies and to digital technologies’ applications while keeping the focus on citizens. This article summarizes the journey of Uruguay from the data perspective in order to achieve such success. Currently, Uruguayans use technological solutions in their everyday lives so much and in such an intensive manner that they have turned Uruguay into the most advanced digital society in the region. Furthermore, Uruguay has received international recognitions for the quality of its digital government, information security, interoperability, citizen service, e-participation, online services, personal data protection, access to public information, and electronic signature solutions. These advances have allowed the country to quickly improve its position at an international level, making a difference due to its innovative approach to Digital Government policies and to digital technologies’ applications while keeping the focus on citizens. This article summarizes the journey of Uruguay from the data perspective in order to achieve such success. Digital development is not politically neutral. That is why in Uruguay, the challenge lay in being able to approach technology transformation as an inclusive social project. The goal of bridging digital gaps first appeared on the political agenda a decade ago, and through successive digital agendas, it has kept pace with the political cycle and become fully entrenched in government priorities. Over the past decade, Uruguay has undergone a period of significant tangible and visible digital development in various fields. Ensuring the population’s access to digital technologies and bridging the digital divide have been priorities, addressed through different public policies with the aim of guaranteeing the citizen's right to the opportunities that the Information and Knowledge Society offers. The progress achieved over the last few years includes wide coverage in telecommunications infrastructure; every household is in the process of being connected with fiber optics; free internet plans are being offered to the population; connection rates are the lowest in the region and at the highest speeds; all children attending public schools have their own computer with internet connection which they share with their families; the population has basic digital literacy skills; and outstanding initiatives are being carried out such as the traceability of individual livestock, the digital government strategy, and the national electronic health record. Fostering the digitization of all government services was one of the 2020 goals of the Uruguayan Executive and one of our main tasks. Digital transformation with social equity—including the strengthening of specific skills, the full integration of technology in productive sectors, and the deepening of the link between citizens and the State—is a priority for Uruguayan government within this context. AGESIC (the Agency for e-Government and Information Society at the President’s Office, formed in 2005) leads the e-Government implementation strategy in the country as the basis of an efficient, citizen-oriented state and promotes the Information and Knowledge Society as a new form of citizenship, encouraging inclusion and engagement through the proper use of information technologies and communication. The agency seeks to digitize all public services available to citizens, from access to a housing loan or a birth certificate to education enrollment. This initiative provides for citizens benefits related to reducing costs and waiting times, availability (24 h a day, 365 days a year anywhere), reducing territorial gaps, and concentration of services in the capital and diversity of service channels. The data strategy employs “digital government assets” (agenda, electronic signature, access control, interoperability platform, and e-form, among others) to ensure government services are carried out in a traceable, interoperable, accessible, and reusable way that complies with security standards in order to achieve consistent results in delivering government services. The digital ecosystem is supported by a legal framework, regulating the exchange of information and security policies that must be adopted by all public entities. It also regulates the protection of personal data and mechanisms to access public information and establishes the principles for the proper management of data. Carrying out these initiatives necessitated the designing of a framework to standardize the modeling of public organizations, from their business processes to their supporting infrastructure. The Open Group Architecture Framework (TOGAF)1The Open GroupAbout TOGAF Standard, Version 9.2.https://www.opengroup.org/togafDate: 2020Google Scholar was adapted to enable the development of the Uruguayan e-government architecture, given the context of the existing structures and systems. It includes models, standards, politics, products, best practices, and recommendations in order to guide public organizations in the design of technical solutions in such way that promotes interoperability and an efficient use of information technology (IT) resources. In 2017, this initiative was presented in The Open Group conference “Making Standards Work e-Government” in Ottawa, CA, USA. In 2018, The Open Group recognized the initiative and gave it the Enterprise Architecture for the People award.2The Open Group2018 Bangalore Awards Winners.https://www.opengroup.org/2018-bangalore-awards-winnersDate: 2018Google Scholar The initiative was also published as a case study.3The Open GroupEnterprise Architecture Applied to the Uruguayan Government.https://publications.opengroup.org/webinars/architecture/d239Date: 2018Google Scholar

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.215
GPT teacher head0.312
Teacher spread0.097 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it