scholarly journals OPEN DATA PLATFORMS FOR A DATA COMMONS, HOW TO SUPPORT THE LIFE OF DATA BEYOND RELEASE

Author(s):  
Hannah Hamilton ◽  
Stefano De Paoli ◽  
Anna Wilson ◽  
Greg Singh

In this paper we will discuss the challenges and opportunities of infusing in open data a life beyond its original public release. Indeed, it is often unclear whether open data has a life beyond the one it was initially collected for, to the extent that some authors have even described the public reuse of government data as no more than a “myth”. We will present the results of the project Data Commons Scotland launched with the idea of creating an Internet based prototype platform for creating a trustworthy common of open data, thus facilitating a life for data beyond the one of the original producer. We will discuss the results of our empirical research for the project based on 31 qualitative interviews with a number of actors, such as data producers or citizens. Moreover, we will present the results of the co-design conducted for the design of the Data Commons Scotland platform. With the results of our analysis we will reflect on the challenges of building Internet based platforms for open data supporting the generation of a common.

2017 ◽  
Vol 4 (1) ◽  
pp. 205395171769075 ◽  
Author(s):  
Andrew Schrock ◽  
Gwen Shaffer

Government officials claim open data can improve internal and external communication and collaboration. These promises hinge on “data intermediaries”: extra-institutional actors that obtain, use, and translate data for the public. However, we know little about why these individuals might regard open data as a site of civic participation. In response, we draw on Ilana Gershon to conceptualize culturally situated and socially constructed perspectives on data, or “data ideologies.” This study employs mixed methodologies to examine why members of the public hold particular data ideologies and how they vary. In late 2015 the authors engaged the public through a commission in a diverse city of approximately 500,000. Qualitative data was collected from three public focus groups with residents. Simultaneously, we obtained quantitative data from surveys. Participants’ data ideologies varied based on how they perceived data to be useful for collaboration, tasks, and translations. Bucking the “geek” stereotype, only a minority of those surveyed (20%) were professional software developers or engineers. Although only a nascent movement, we argue open data intermediaries have important roles to play in a new political landscape.


2019 ◽  
Vol 11 (23) ◽  
pp. 6758 ◽  
Author(s):  
Kim ◽  
Eom

Open government data (open data) initiatives have been at the forefront of the strategy to make more transparent, responsive, and accountable government, and thereby lead to open innovation across the public and private sector. Governments around the world often understand that open data is disclosing their data to the public as much as possible and that open data success is the result of a data and technology-related endeavor rather than the result of organizational, institutional, and environmental attributes. According to the resource-based theory, however, managerial capability to mobilize tangible and intangible resources and deploy them in adequate places or processes under the leadership of capable leaders during the information technology (IT) project is a core factor leading to organizational performance such as open data success. In this vein, this study aims to analyze managerial factors as drivers and challenges of open data success from the resource-based theory. Findings illustrate that managerial factors are the driving forces that often boost or hinder open data success when institutional, socio-economic, and demographic factors are controlled. Discussion illustrates theoretical and practical implications for the managerial factors as drivers and challenges of open data success in terms of the comparison between technological determinism and the socio-technical perspective.


2019 ◽  
Author(s):  
Morgan Currie ◽  
W. F. Umi Hsu

Most of the current academic literature on open data looks outward at the data’s reuse by the public. is article describes, rather, the cultural practice of open data inside city governments. Hand-in-hand with the launch of open data policies, city governments have embraced data analytics to track performance, set goals, justify budget expenditures, direct public services, and represent their work to the public. rough an increased need to data-fy, or to transform records or actions into digital data, sta considers the analytical possibilities of existing administrative records both as economic evidence of government activities and as reusable assets with statistical and machine-actionable functions. ese data practices provide a legitimized way for municipal governments to know and govern the city and manage its resources. Contended as performative acts, local governments’ data practices help the city perform aspects of its functions and values such accountability, transparency, and democracy.


2015 ◽  
Vol 9 (2) ◽  
pp. 61-83
Author(s):  
Mireille Van Eechoud

The EU Directive on Re-use of Public Sector Information of 2013 (the PSI Directive) is a key instrument for open data policies at all levels of government in Member States. It sets out a general framework for the conditions governing the right to re-use information resources held by public sector bodies. It includes provisions on non-discrimination, transparent licensing and the like. However, what the PSI Directive does not do is give businesses, civil society or citizens an actual claim to access. Access is of course a prerequisite to (re)use. It is largely a matter for individual Member States to regulate what information is in the public record. This article explores what the options for the EC are to promote alignment of rights to information and re-use policy. It also flags a number of important data protection problems that have not been given serious enough consideration, but have the potential to paralyze open data policies. 


2012 ◽  
Vol 3 (2) ◽  
pp. 182-191 ◽  
Author(s):  
Ursula Maier-Rabler ◽  
Stefan Huber

"Open" is not just a fancy synonym for transparent and accountable. The "Open" in Open Government, Open Data, Open Information, and Open Innovation stands for the changing relation between citizens and authorities. Many citizens no longer accept the passive stance representative democracy held for them. They take an active approach in setting up better means of collaboration by ICTs. They demand and gain access to their historically grown collective knowledge stored in government data. Not just on a local level, they actively shape the political agenda. Open Government is to be seen in the context of citizens‘ rights: the right to actively participate in the process of agenda-setting and decision-making. Research into open government needs to address the value of the changing relation between citizens, public administration, and political authority. The paper argues finally for the application of the Public Value concept to research into open government.


2020 ◽  
pp. 1-11
Author(s):  
Ruth D. Carlitz ◽  
Rachael McLellan

Data availability has long been a challenge for scholars of authoritarian politics. However, the promotion of open government data—through voluntary initiatives such as the Open Government Partnership and soft conditionalities tied to foreign aid—has motivated many of the world’s more closed regimes to produce and publish fine-grained data on public goods provision, taxation, and more. While this has been a boon to scholars of autocracies, we argue that the politics of data production and dissemination in these countries create new challenges. Systematically missing or biased data may jeopardize research integrity and lead to false inferences. We provide evidence of such risks from Tanzania. The example also shows how data manipulation fits into the broader set of strategies that authoritarian leaders use to legitimate and prolong their rule. Comparing data released to the public on local tax revenues with verified internal figures, we find that the public data appear to significantly underestimate opposition performance. This can bias studies on local government capacity and risk parroting the party line in data form. We conclude by providing a framework that researchers can use to anticipate and detect manipulation in newly available data.


Semantic Web ◽  
2021 ◽  
pp. 1-32
Author(s):  
Houcemeddine Turki ◽  
Mohamed Ali Hadj Taieb ◽  
Thomas Shafee ◽  
Tiago Lubiana ◽  
Dariusz Jemielniak ◽  
...  

Information related to the COVID-19 pandemic ranges from biological to bibliographic, from geographical to genetic and beyond. The structure of the raw data is highly complex, so converting it to meaningful insight requires data curation, integration, extraction and visualization, the global crowdsourcing of which provides both additional challenges and opportunities. Wikidata is an interdisciplinary, multilingual, open collaborative knowledge base of more than 90 million entities connected by well over a billion relationships. It acts as a web-scale platform for broader computer-supported cooperative work and linked open data, since it can be written to and queried in multiple ways in near real time by specialists, automated tools and the public. The main query language, SPARQL, is a semantic language used to retrieve and process information from databases saved in Resource Description Framework (RDF) format. Here, we introduce four aspects of Wikidata that enable it to serve as a knowledge base for general information on the COVID-19 pandemic: its flexible data model, its multilingual features, its alignment to multiple external databases, and its multidisciplinary organization. The rich knowledge graph created for COVID-19 in Wikidata can be visualized, explored, and analyzed for purposes like decision support as well as educational and scholarly research.


2019 ◽  
Vol 5 (2) ◽  
pp. 12-18
Author(s):  
Noor Zalina Zainal ◽  
Husnayati Hussin ◽  
Mior Nasir Mior Nazri

– To implement Big Data extensively in the public sector, many governments around the world are taking their initiative to ensure that Open Government Data (OGD) is a success. Even though the governments had provided thousands of datasets in the open data website, the level of use of open government data is still a question that has not been resolved. Therefore, the objective of this paper is to propose a new model of measuring the level of use of open government data. By integrating the Unified Theory of Acceptance and Use of Technology (UTAUT), IS Success Model (ISSM) and Trust factors, this new model perhaps can be a major contribution to the governments in ensuring that citizens are getting benefits from the datasets provided in the open data website.


2016 ◽  
Vol 4 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Jeffrey Roy

In a rapidly evolving online environment where the inter-relationship between information and innovation is evolving from primarily closed and inward structures to much more open and networked governance arrangements, the public sector faces growing pressures and new opportunities to reform and adapt. Open data and big data are now widely embraced initiatives to spur innovation both inside of and outside of the public sector. Their capacity to foster innovation is nonetheless shaped by critical tensions between traditional government structures and culture on the one hand and more open and participative notions of governance on the other hand. Within such a context, this article examines the current Government of Canada Open Government Action Plan and its three main dimensions: information, data, and dialogue. The analysis reveals that despite some progress in the realm of open data, information and dialogue are constrained by the aforementioned tensions and the need for wider reforms to various architectural facets of the public sector – administratively, technologically, politically, and socially. Across each of these layers, we consider the sorts of wider reforms required in order to facilitate systemic innovation within the government and across sectors.


2016 ◽  
Vol 12 (2) ◽  
Author(s):  
Aurelie Larquemin ◽  
Jyoti Prasad Mukhopadhyay ◽  
Sharon Buteau

Public entities are one of the main producers of socio-economic data around the world. The Open Government Data (OGD) movement encourages these entities to make their data publicly available in order to improve transparency and accountability, which may lead to good governance. Thus, OGD can promote evidence-based public policy by supporting empirical research through making quality data available. Hence, in this paper we discuss the current status of OGD initiative in India, how its principles are considered and applied by the public authorities, and the feedback of the research community about OGD in India.   Les institutions publiques sont parmi les principaux producteurs de données socio-économiques. Le mouvement « Données Gouvernementales ouvertes » les encourage et assiste parfois dans la mise à disposition de leurs données au public, pour améliorer la transparence, ce qui peut conduire à une meilleure gouvernance. Ainsi, les données ouvertes gouvernementales peuvent conduire à de meilleures politiques publiques basées sur leurs résultats en soutenant la recherche par la publication de données de qualité. Ce document traite de la situation des données ouvertes en Inde, leur publication et usage par les institutions publiques et par la communauté de recherche.   Las instituciones públicas son los principales productores de datos socio-económicos. El movimiento de " datos gubernamentales abiertos" alienta estas entidades de poner sus datos a disposición del público para mejorar la transparencia, y la gobernanza. Por lo tanto los datos gubernamentales abiertos pueden promover políticas públicas basadas en evidencia, mediante el apoyo a la investigación empírica a través de hacer datos de calidad disponibles.  En este trabajo se discute lo que es la realidad de los datos gubernamentales abiertos en la India, cómo sus principios están consideradas y aplicadas por las autoridades públicas y la comunidad de investigación.  


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