Public data and value creation in Italy.The findings from the Open Data 200 study

2018 ◽  
pp. 65-83
Author(s):  
Francesca De Chiara
Keyword(s):  
Value Creation ◽  
Open Data ◽  
Public Data

scholarly journals An analysis of open data as a location factor

2021 ◽  
Vol 129 ◽  
pp. 02002
Author(s):  
Sebastian Block ◽  
Neele Hiemesch-Hartmann
Keyword(s):  
Value Creation ◽  
Open Data ◽  
Value Added ◽  
Data Bank ◽  
Economic Effects ◽  
Published Data ◽  
Location Factor ◽  
Publication Strategy ◽  
Location Determination ◽  
Public Data

Research background: The publication of data in Germany introduces a paradigm shift in public administrations. The data silos of the administrations are thus being opened up piece by piece. There are many possible applications for these data. Optimized location determination for trade, production, and services is one of these many possible applications. It has been shown that the provision of open data can achieve economic effects and set value chains in motion. The value creation effects can arise directly, indirectly, or downstream. Public data can thus become a relevant location factor for regions and cities. Purpose of the article: The various implications of opening up data in context with location determination will be examined in this article. This will be done from an economic perspective, highlighting the positive externalities of open data. Methods: The published data of administrations will be analyzed based on a German data bank of 12,020 datasets concerning their relevance for determining location. For this purpose, hard and soft location criteria will be defined in advance. Findings & Value added: The result of the study will be a newly developed publication strategy for German public administrations on location criteria. With the help of this publication strategy, open data should function as a location advantage and initiate value creation effects.

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 Towards value-creating and sustainable open data ecosystems: A comparative case study and a research agenda

2021 ◽  
Vol 13 (2) ◽  
pp. 1-27
Author(s):  
Bastiaan Van Loenen ◽  
Anneke Zuiderwijk ◽  
Glenn Vancauwenberghe ◽  
Francisco J. Lopez-Pellicer ◽  
Ingrid Mulder ◽  
...  
Keyword(s):  
Value Creation ◽  
Research Agenda ◽  
Supply And Demand ◽  
Skill Training ◽  
Open Data ◽  
Comparative Case Study ◽  
Data Systems ◽  
User Groups ◽  
The One

Current open data systems lag behind in their promised value creation and sustainability. The objective of the current study is twofold: 1) to investigate whether existing open data systems meet the requirements of open data ecosystems, and 2) to develop a research agenda that discusses the gaps between current open data systems on the one hand and participatory, value-creating, sustainable open data ecosystems on the other hand. The literature reveals that the main characteristics of value-creating, sustainable open data ecosystems are user-drivenness, inclusiveness, circularity, and skill-based. Our comparative case study of five open data systems in various application domains and countries highlighted that none of these systems are real open data ecosystems: they often do not balance open data supply and demand, exclude specific user groups and domains, are linear, and lack skill-training. We elaborate on a research agenda that discusses how research should address the challenge of making open data ecosystems more value-generating and sustainable.

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.

Sign in / Sign up

Export Citation Format

Share Document