Open data triplification: The case of the greek open public data

2015 ◽  
Author(s):  
George Tsihrintzis ◽  
Stamatios Theocharis
Keyword(s):  
Open Data ◽  
Public Data

scholarly journals Adequacy of prenatal care, diagnosis and treatment of syphilis in pregnancy: a study with open data from Brazilian state capitals

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Adele Schwartz Benzaken ◽  
Gerson Fernando Mendes Pereira ◽  
Alessandro Ricardo Caruso da Cunha ◽  
Flavia Moreno Alves de Souza ◽  
Valéria Saraceni
Keyword(s):  
Prenatal Care ◽  
Skin Color ◽  
Congenital Syphilis ◽  
Open Data ◽  
Family Health ◽  
Diagnosis And Treatment ◽  
Benzathine Penicillin ◽  
White Skin ◽  
Public Data ◽  
Adequacy Of Prenatal Care

Abstract: To assess the adequacy of prenatal care offered in the Brazilian capital cities and the diagnosis of gestational syphilis through public data from health information systems. The modified Kotelchuck index for adequacy of prenatal care was built using Brazilian Information System on Live Births (SINASC) data. Data on gestational syphilis, congenital syphilis, estimated population coverage by the Family Health Strategy (FHS), the Municipal Human Development Index (MHDI) and data from National Program for Access and Quality Improvement in Primary Care (PMAQ-AB) were accessed in public sites. The profile of pregnant women associated with inadequate care was assessed by logistic regression. In total, 685,286 births were analyzed. Only 2.3% of women did not attend prenatal appointments. The mean adequacy was 79.7%. No correlation was found between adequacy of prenatal care and FHS coverage (p = 0.172), but a positive correlation was found with the MHDI (p < 0.001). Inadequacy of prenatal care was associated with age below 20 years old, schooling less than 4 years, non-white skin color and not having a partner. Among the congenital syphilis cases, 17.2% of mothers did not attend prenatal care. Gestational syphilis more often affected vulnerable women, including a higher proportion of adolescents, women with low schooling, and women of non-white color. The PMAQ-AB showed a median availability of 27.3% for syphilis rapid tests, 67.7% for benzathine penicillin, and 86.7% for benzathine penicillin administration by health teams. The use of public data showed a low adequacy of prenatal care in Brazilian capitals, denoting insufficient quality for the diagnosis and treatment of gestational syphilis, despite the availability of supplies. Continuous monitoring can be carried out using public data, indicating to local strategies to eliminate congenital syphilis.

scholarly journals Open Data Policies among Library and Information Science Journals

Publications ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 25
Author(s):  
Brian Jackson
Keyword(s):  
Information Science ◽  
Open Data ◽  
Research Data ◽  
Data Availability ◽  
Academic Publishing ◽  
Library And Information Science ◽  
Data Archiving ◽  
Open Research ◽  
Open Access Journals ◽  
Public Data

Journal publishers play an important role in the open research data ecosystem. Through open data policies that include public data archiving mandates and data availability statements, journal publishers help promote transparency in research and wider access to a growing scholarly record. The library and information science (LIS) discipline has a unique relationship with both open data initiatives and academic publishing and may be well-positioned to adopt rigorous open data policies. This study examines the information provided on public-facing websites of LIS journals in order to describe the extent, and nature, of open data guidance provided to prospective authors. Open access journals in the discipline have disproportionately adopted detailed, strict open data policies. Commercial publishers, which account for the largest share of publishing in the discipline, have largely adopted weaker policies. Rigorous policies, adopted by a minority of journals, describe the rationale, application, and expectations for open research data, while most journals that provide guidance on the matter use hesitant and vague language. Recommendations are provided for strengthening journal open data policies.

scholarly journals The story of the sixth myth of open data and open government

2015 ◽  
Vol 9 (1) ◽  
pp. 35-51 ◽  
Author(s):  
Ann-Sofie Hellberg ◽  
Karin Hedström
Keyword(s):  
Local Level ◽  
Empirical Studies ◽  
Open Data ◽  
Data Reuse ◽  
Open Government ◽  
Content Type ◽  
The Public ◽  
Public Data ◽  
Competition Process ◽  
Public Organisations

Purpose – The aim of this paper is to describe a local government effort to realise an open government agenda. This is done using a storytelling approach. Design/methodology/approach – The empirical data are based on a case study. The authors participated in, as well as followed, the process of realising an open government agenda on a local level, where citizens were invited to use open public data as the basis for developing apps and external Web solutions. Based on an interpretative tradition, they chose storytelling as a way to scrutinise the competition process. In this paper, they present a story about the competition process using the story elements put forward by Kendall and Kendall (2012). Findings – The research builds on existing research by proposing the myth that the “public” wants to make use of open data. The authors provide empirical insights into the challenge of gaining benefits from open public data. In particular, they illustrate the difficulties in getting citizens interested in using open public data. Their case shows that people seem to like the idea of open public data, but do not necessarily participate actively in the data reuse process. Research limitations/implications – The results are based on one empirical study. Further research is, therefore, needed. The authors would especially welcome more studies that focus on citizens’ interest and willingness to reuse open public data. Practical implications – This study illustrates the difficulties of promoting the reuse of open public data. Public organisations that want to pursue an open government agenda can use these findings as empirical insights. Originality/value – This paper answers the call for more empirical studies on public open data. Furthermore, it problematises the “myth” of public interest in the reuse of open public data.

scholarly journals TYPES OF PUBLIC INFORMATION IN THE FORM OF OPEN DATA AND THEIR CLASSIFICATION

2020 ◽  
pp. 33-37
Author(s):  
D. Nesterova
Keyword(s):  
Public Sector ◽  
Public Awareness ◽  
Open Data ◽  
Public Information ◽  
Economic Benefits ◽  
Full Potential ◽  
Data Discovery ◽  
The Public ◽  
Public Data

The concept of public information in the form of open data and its main features are studied. It is determined that due to the possible wide application of open data, the definition of the main grounds for the classification of open data is an insufficiently covered issue. The purpose of this study is to determine the types and criteria for the classification of public information in the form of open data. This is necessary for their widespread use in order to solve socially important tasks and to use their full potential in unusual directions. The author has analyzed international reports on open data and identified the problems of the quality of such data and the possibility of using them to solve socially important tasks. The classification of open data is formed on the following grounds: 1. by data type; 2. by data format; 3. by subject. The article determines the value of open data to society and the possibility of its wide use in the example of other countries. The problems that complicate the implementation of the government data discovery initiative in Ukraine include the underdeveloped culture of open government; insufficient level of training of public authorities to work with open data; insufficient funding for the public data discovery initiative; low level of public awareness and interest in public data and the benefits of using it. Unfortunately, most citizens are still satisfying their curiosity by using open data. The author notes that using data that describes the patterns we live in can help us solve problems in ways we may not have anticipated. As a rule, public sector systems do not respond too quickly on changes. With open data, they could track, predict and respond to real-time changes. This would allow the public sector to streamline its processes and services and it would be possible to clearly identify areas for improving and increasing productivity, to develop specialized solutions based on various demographic indicators and other factors. This would be a huge transformational leap in attracting open data to the public sector, as it opens up a number of areas for innovation. The author substantiates the importance of open data for public sector transformation, economic benefits and their use as an instrument for creating an information society.

scholarly journals Smarter Together: Progressing Smart Data Platforms in Lyon, Munich, and Vienna

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1075
Author(s):  
Naomi Morishita-Steffen ◽  
Rémi Alberola ◽  
Baptiste Mougeot ◽  
Étienne Vignali ◽  
Camilla Wikström ◽  
...  
Keyword(s):  
Social Issues ◽  
Public Policies ◽  
Open Data ◽  
Personal Data ◽  
Public Authorities ◽  
External Data ◽  
Public Data ◽  
Smart Data ◽  
The City

In a context where digital giants are increasingly influencing the actions decided by public policies, smart data platforms are a tool for collecting a great deal of information on the territory and a means of producing effective public policies to meet contemporary challenges, improve the quality of the city, and create new services. Within the framework of the Smarter Together project, the cities of Lyon (France), Munich (Germany), and Vienna (Austria) have integrated this tool into their city’s metabolism and use it at different scales. Nevertheless, the principle remains the same: the collection (or even dissemination) of internal and external data to the administration will enable the communities, companies, not-for-profit organizations, and civic administrations to “measure” the city and identify areas for improvement in the territory. Furthermore, through open data logics, public authorities can encourage external partners to become actors in territorial action by using findings from the data to produce services that will contribute to the development of the territory and increase the quality of the city and its infrastructure. Nevertheless, based on data that is relatively complex to extract and process, public data platforms raise many legal, technical, economic, and social issues. The cities either avoided collecting personal data or when dealing with sensitive data, use anonymized aggregated data. Cocreation activities with municipal, commercial, civil society stakeholders, and citizens adopted the strategies and tools of the intelligent data platforms to develop new urban mobility and government informational services for both citizens and public authorities. The data platforms are evolving for transparent alignment with 2030 climate-neutrality objectives while municipalities strive for greater agility to respond to disruptive events like the COVID-19 pandemic.

A comparison of national open data policies: lessons learned

2015 ◽  
Vol 9 (3) ◽  
pp. 286-308 ◽  
Author(s):  
Rininta Putri Nugroho ◽  
Anneke Zuiderwijk ◽  
Marijn Janssen ◽  
Martin de Jong
Keyword(s):  
Open Data ◽  
Legal Framework ◽  
Lessons Learned ◽  
Added Value ◽  
Content Type ◽  
Comparative Framework ◽  
Public Data ◽  
The Usa ◽  
Data Policy ◽  
Cross National

Purpose – The purpose of this paper is to provide a comprehensive cross-national comparative framework to compare open data policies from different countries and to derive lessons for developing open data policies. Open data policies guide the opening and stimulate the usage of public data. However, some countries have no or less developed open data policies, in this way missing the opportunity to reap the benefits of open data. Design/methodology/approach – Literature review and case studies were conducted to extend an existing comparison framework, and the framework was used to compare open data policies of the UK, the USA, The Netherlands, Kenya and Indonesia. Findings – The comparison of open data policies highlighted several lessons that can be learned, including actions regarding a robust legal framework, generic operational policies, data providers and data users, data quality, designated agencies or taskforces and initiatives and incentives for stimulating demand for data. National policies should also be focused on removing barriers on the operational level and policies for stimulating the release and use of data. Research limitations/implications – There is hardly any research systematically comparing open data policies. The comparative framework provided in this paper is a first analytical basis for cross-national comparison of open data policies and offers possibilities for systematic cross-national lesson-drawing. Practical implications – The authors found two waves of policy-making. The first wave of policy is focused on stimulating the release of data, whereas the second wave of policy is aimed at stimulating use. The comparison can be used to learn from other policies and help to improve open data policies. A third wave of open data policy is expected to materialize focusing on realizing added value from utilizing open data. Social implications – Improving a country’s open data policy can help the country to reap the benefits of open data, such as government transparency, efficiency and economic growth. Originality/value – Open data are a recent phenomenon and countries are looking for ways to obtain the benefits. This research can be used for developing and evaluating open data policies.

scholarly journals Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use

2021 ◽  
pp. 003335492110268
Author(s):  
Brian Lee ◽  
Brandi Dupervil ◽  
Nicholas P. Deputy ◽  
Wil Duck ◽  
Stephen Soroka ◽  
...  
Keyword(s):  
Data Use ◽  
Open Data ◽  
Data Generation ◽  
The Public ◽  
Management Platform ◽  
Public Data ◽  
Control And Prevention ◽  
Using Data ◽  
Data Elements ◽  
Public Datasets

Objectives Federal open-data initiatives that promote increased sharing of federally collected data are important for transparency, data quality, trust, and relationships with the public and state, tribal, local, and territorial partners. These initiatives advance understanding of health conditions and diseases by providing data to researchers, scientists, and policymakers for analysis, collaboration, and use outside the Centers for Disease Control and Prevention (CDC), particularly for emerging conditions such as COVID-19, for which data needs are constantly evolving. Since the beginning of the pandemic, CDC has collected person-level, de-identified data from jurisdictions and currently has more than 8 million records. We describe how CDC designed and produces 2 de-identified public datasets from these collected data. Methods We included data elements based on usefulness, public request, and privacy implications; we suppressed some field values to reduce the risk of re-identification and exposure of confidential information. We created datasets and verified them for privacy and confidentiality by using data management platform analytic tools and R scripts. Results Unrestricted data are available to the public through Data.CDC.gov, and restricted data, with additional fields, are available with a data-use agreement through a private repository on GitHub.com. Practice Implications Enriched understanding of the available public data, the methods used to create these data, and the algorithms used to protect the privacy of de-identified people allow for improved data use. Automating data-generation procedures improves the volume and timeliness of sharing data.

scholarly journals The advancement of utilizing geospatial information via GSI Maps

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Hirosato Mogi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Open Data ◽  
Geospatial Information ◽  
Secondary Use ◽  
Web Map ◽  
Public Data ◽  
The Government ◽  
Map Data ◽  
Machine Readable

<p><strong>Abstract.</strong> The Geospatial Information Authority of Japan (GSI) is the national organization that has jurisdiction over the Survey Act, and develops geospatial information. We are also promoting utilization of them based on the Basic Act on the Advancement of Utilizing Geospatial Information. In addition, the Japanese government is promoting the Open Data initiative, in which the government widely discloses public data in machine-readable formats and allows secondary use of them. In accordance with these laws and initiative, we aim to realize a society where geospatial information can be widely and highly utilized by the disclosure of geospatial information. In order to achieve our mission, we are working on providing map data using “GSI Maps” (https://maps.gsi.go.jp/) which is a web map developed by using open source software (OSS) as the basis (Figure 1a). In this paper, we introduce “Three Open Policies” to promote utilizing geospatial information provided via GSI Maps.</p>

scholarly journals Open Government Data in Hungary

2018 ◽  
Vol 331 ◽  
pp. 373-381
Author(s):  
Anna Orbán
Keyword(s):  
Open Data ◽  
Real Data ◽  
Digital Data ◽  
Open Government ◽  
Freedom Of Information ◽  
Technical Problems ◽  
Open Government Data ◽  
Public Data ◽  
Government Data ◽  
Legal Constraints

Today it is increasingly evident that data is the new determining element in the economy and society. Digital data is essential resources for economic growth, competitiveness, innovation, job creation and social development. For well-founded decisions, real data containing all the necessary information are required. Public organizations are obliged to collect and store vast amounts of data. However, the question arises: who has access to them and for what purposes are they used for? Open Data has become increasingly prevalent both on organizational and national levels. By making the datasets available to the public, institutions have become more transparent, efficient and more economical. There are EU and national strategies and programs to support open public administration by providing an appropriate legal environment and recommending practical measures. Freedom of information guarantees the accessibility of public data. However, accessibility is blocked by several challenges and obstacles, such as traditional approaches, legal constraints, practical and technical problems. The aim of this paper is to interpret the basic concepts of open government data, and present some of the problems of Hungarian data policy, legal regulations and practical implementations.

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