scholarly journals Is the Public Motivated to Engage in Open Data Innovation?

2014 ◽  
pp. 277-288 ◽  
Author(s):  
Gustaf Juell-Skielse ◽  
Anders Hjalmarsson ◽  
Paul Johannesson ◽  
Daniel Rudmark
Keyword(s):  
Open Data ◽  
The Public

scholarly journals Mapping CRISPR-Cas9 public and commercial innovation using The Lens institutional toolkit

2021 ◽  
Author(s):  
Osmat Azzam Jefferson ◽  
Simon Lang ◽  
Kenny Williams ◽  
Deniz Koellhofer ◽  
Aaron Ballagh ◽  
...  
Keyword(s):  
Public Investment ◽  
Open Data ◽  
Regulatory Elements ◽  
Policy Makers ◽  
Base Editing ◽  
The Public ◽  
Homology Directed Repair ◽  
A Genome ◽  
Institutional Capability ◽  
Cellular Dna

AbstractCRISPR-Cas9 is a revolutionary technology because it is precise, fast and easy to implement, cheap and components are readily accessible. This versatility means that the technology can deliver a timely end product and can be used by many stakeholders. In plant cells, the technology can be applied to knockout genes by using CRISPR–Cas nucleases that can alter coding gene regions or regulatory elements, alter precisely a genome by base editing to delete or regulate gene expression, edit precisely a genome by homology-directed repair mechanism (cellular DNA), or regulate transcriptional machinery by using dead Cas proteins to recruit regulators to the promoter region of a gene. All these applications can be for: 1) Research use (Non commercial), 2) Uses related product components for the technology itself (reagents, equipment, toolkits, vectors etc), and 3) Uses related to the development and sale of derived end products based on this technology. In this contribution, we present a prototype report that can engage the community in open, inclusive and collaborative innovation mapping. Using the open data at the Lens.org platform and other relevant sources, we tracked, analyzed, organized, and assembled contextual and bridged patent and scholarly knowledge about CRISPR-Cas9 and with the assistance of a new Lens institutional capability, The Lens Report Builder, currently in beta release, mapped the public and commercial innovation pathways of the technology. When scaled, this capability will also enable coordinated editing and curation by credentialed experts to inform policy makers, businesses and private or public investment.

scholarly journals Data ideologies of an interested public: A study of grassroots open government data intermediaries

2017 ◽  
Vol 4 (1) ◽  
pp. 205395171769075 ◽  
Author(s):  
Andrew Schrock ◽  
Gwen Shaffer
Keyword(s):  
Open Data ◽  
Government Officials ◽  
Software Developers ◽  
The Public ◽  
Political Landscape ◽  
Socially Constructed ◽  
Open Government Data ◽  
Government Data ◽  
A Site ◽  
Institutional Actors

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.

scholarly journals Decentralised open data publishing for the public transport route planning ecosystem

2020 ◽  
Author(s):  
Julián Rojas ◽  
Bert Marcelis ◽  
Eveline Vlassenroot ◽  
Mathias Van Compernolle ◽  
Pieter Colpaert ◽  
...  
Keyword(s):  
Public Transport ◽  
Open Data ◽  
Route Planning ◽  
Data Publishing ◽  
The Public

Chapter 8 in the edited volume Situating Open Data.

scholarly journals TheyBuyForYou platform and knowledge graph: Expanding horizons in public procurement with open linked data

Semantic Web ◽  
2021 ◽  
pp. 1-27
Author(s):  
Ahmet Soylu ◽  
Oscar Corcho ◽  
Brian Elvesæter ◽  
Carlos Badenes-Olmedo ◽  
Tom Blount ◽  
...  
Keyword(s):  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Knowledge Graph ◽  
Multiple Sources ◽  
The Public ◽  
Cross Border ◽  
Data Platform ◽  
Document Search ◽  
Cross Lingual

Public procurement is a large market affecting almost every organisation and individual; therefore, governments need to ensure its efficiency, transparency, and accountability, while creating healthy, competitive, and vibrant economies. In this context, open data initiatives and integration of data from multiple sources across national borders could transform the procurement market by such as lowering the barriers of entry for smaller suppliers and encouraging healthier competition, in particular by enabling cross-border bids. Increasingly more open data is published in the public sector; however, these are created and maintained in siloes and are not straightforward to reuse or maintain because of technical heterogeneity, lack of quality, insufficient metadata, or missing links to related domains. To this end, we developed an open linked data platform, called TheyBuyForYou, consisting of a set of modular APIs and ontologies to publish, curate, integrate, analyse, and visualise an EU-wide, cross-border, and cross-lingual procurement knowledge graph. We developed advanced tools and services on top of the knowledge graph for anomaly detection, cross-lingual document search, and data storytelling. This article describes the TheyBuyForYou platform and knowledge graph, reports their adoption by different stakeholders and challenges and experiences we went through while creating them, and demonstrates the usefulness of Semantic Web and Linked Data technologies for enhancing public procurement.

scholarly journals Methods of Administrative and Legal Protection of Tax Relations: Theoretical and Legal Study

2019 ◽  
Vol 75 (4) ◽  
pp. 53-58
Author(s):  
K. S. Rohozinnikova
Keyword(s):  
Public Administration ◽  
Open Data ◽  
Legal Protection ◽  
Data Sets ◽  
Administrative Services ◽  
The Public ◽  
The Subject ◽  
State Coercion ◽  
The Relationship ◽  
Functional Purpose

The author of the article has provided the results of the analysis of the methods of administrative and legal protection taking into account the changes within the relations between public administration and taxpayers and the course chosen by the state for liberalization of tax relations. The place of the concept of the methods of administrative and legal protection in the term system of the science of administrative law and their dialectical relations with the methods of public administration and administrative activity has been established. The author has indicated generic and specific features of the methods of administrative and legal protection of tax relations, where the latter will depend on the peculiarities of the means and methods of influence used by the public administration for the purpose of exercising security functions. The system of methods of administrative and legal protection of tax relations has been offered to form from three elements: general methods of administrative activity (persuasion and coercion), service tools of influence (provision of administrative services, creation of electronic services and publication of open data sets) and organizational methods. The expediency of distinguishing service means of influence into a separate group of methods of administrative and legal protection has been proved. It is conditioned by their special functional purpose – creation of conditions for independent prevention of possible breach of protected relations by the taxpayer. The role and correlation of persuasion and coercion in the system of methods of administrative and legal protection of tax relations have been clarified. Despite the presented importance of the persuasion within the relationship between the controlling agencies and the taxpayers, it has been stated that state coercion remains the main mean of administrative and legal protection of tax relations. Particular attention has been paid on the need to reconsider the correlation of tax and administrative coercion within tax relations. It has been proved that the basis of their delimitation should be not the branch of legislation, where the authority to apply the appropriate measure is assigned, but the essential criterion and the subject matter of regulation (influence) – relations arising from incomplete calculation and late and incomplete payment of taxes and fees, or relationships related to the organization and enforcement of tax responsibilities and the proper exercise by the supervisory authorities of their powers. It has been emphasized that tax coercion, unlike administrative, performs both punitive and compensatory functions.

Privacy in the 21st Century

2015 ◽  
pp. 1638-1652
Author(s):  
Panagiotis Kitsos ◽  
Aikaterini Yannoukakou
Keyword(s):  
Public Interest ◽  
Focal Point ◽  
Personal Information ◽  
Open Data ◽  
Personal Data ◽  
Common Denominator ◽  
Patriot Act ◽  
The Public ◽  
Personal Data Protection ◽  
The Common

The events of 9/11 along with the bombarding in Madrid and London forced governments to resort to new structures of privacy safeguarding and electronic surveillance under the common denominator of terrorism and transnational crime fighting. Legislation as US PATRIOT Act and EU Data Retention Directive altered fundamentally the collection, processing and sharing methods of personal data, while it granted increased powers to police and law enforcement authorities concerning their jurisdiction in obtaining and processing personal information to an excessive degree. As an aftermath of the resulted opacity and the public outcry, a shift is recorded during the last years towards a more open governance by the implementation of open data and cloud computing practices in order to enhance transparency and accountability from the side of governments, restore the trust between the State and the citizens, and amplify the citizens' participation to the decision-making procedures. However, privacy and personal data protection are major issues in all occasions and, thus, must be safeguarded without sacrificing national security and public interest on one hand, but without crossing the thin line between protection and infringement on the other. Where this delicate balance stands, is the focal point of this paper trying to demonstrate that it is better to be cautious with open practices than hostage of clandestine practices.

Investigating the Landscape in National Interoperability Frameworks

2010 ◽  
Vol 2 (4) ◽  
pp. 28-41 ◽  
Author(s):  
Yannis Charalabidis ◽  
Fenareti Lampathaki ◽  
Dimitris Askounis
Keyword(s):  
Public Sector ◽  
Service Provision ◽  
Policy Making ◽  
Open Data ◽  
Wisdom Of Crowds ◽  
The Public ◽  
Country Level ◽  
Cross Country ◽  
Degree Of Maturity ◽  
Implementation Level

Openness, accountability, and transparency have attracted researchers’ and practitioners’ interest as open data and citizen engagement initiatives try to capitalize the wisdom of crowds for better governance, policy making, or even service provision. In this context, interoperability between public organizations, citizens, and enterprises seems to remain the center of interest in the public sector and national interoperability frameworks are continually revised and expanded across the globe in an effort to support the increasing need for seamless exchange of information. This paper outlines the current landscape in eGovernment interoperability, analyzing and comparing frameworks that have reached a certain degree of maturity. Their strengths and weaknesses at conceptual and implementation level are discussed together with directions for reaching consensus and aligning interoperability guidelines at a country and cross-country level.

scholarly journals The Managerial Dimension of Open Data Success: Focusing on the Open Data Initiatives in Korean Local Governments

2019 ◽  
Vol 11 (23) ◽  
pp. 6758 ◽  
Author(s):  
Kim ◽  
Eom
Keyword(s):  
Organizational Performance ◽  
Local Governments ◽  
Driving Forces ◽  
Open Data ◽  
Technological Determinism ◽  
The Public ◽  
Open Government Data ◽  
Government Data ◽  
Public And Private Sector ◽  
Resource Based Theory

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.

Automating statistical diagrammatic representations with data characterization

2017 ◽  
Vol 17 (4) ◽  
pp. 316-334
Author(s):  
Pere Millán-Martínez ◽  
Pedro Valero-Mora
Keyword(s):  
Graphical Representation ◽  
Open Data ◽  
Graphical Representations ◽  
One Dimensional ◽  
The Public ◽  
Cognitive Studies ◽  
Multidimensional Databases ◽  
Diagrammatic Representations ◽  
Input Variables

The search for an efficient method to enhance data cognition is especially important when managing data from multidimensional databases. Open data policies have dramatically increased not only the volume of data available to the public, but also the need to automate the translation of data into efficient graphical representations. Graphic automation involves producing an algorithm that necessarily contains inputs derived from the type of data. A set of rules are then applied to combine the input variables and produce a graphical representation. Automated systems, however, fail to provide an efficient graphical representation because they only consider either a one-dimensional characterization of variables, which leads to an overwhelmingly large number of available solutions, a compositional algebra that leads to a single solution, or requires the user to predetermine the graphical representation. Therefore, we propose a multidimensional characterization of statistical variables that when complemented with a catalog of graphical representations that match any single combination, presents the user with a more specific set of suitable graphical representations to choose from. Cognitive studies can then determine the most efficient perceptual procedures to further shorten the path to the most efficient graphical representations. The examples used herein are limited to graphical representations with three variables given that the number of combinations increases drastically as the number of selected variables increases.

Sign in / Sign up

Export Citation Format

Share Document