scholarly journals A Guide to Implement Open Data in Public Agencies

2013 ◽  
pp. 75-86 ◽  
Author(s):  
Mauricio Solar ◽  
Luis Meijueiro ◽  
Fernando Daniels
Keyword(s):  
Open Data ◽  
Public Agencies

scholarly journals Actionable Open Data

2020 ◽  
Vol 16 ◽  
pp. 3-25
Author(s):  
Lucia Lupi ◽  
Alessio Antonini ◽  
Anna De Liddo ◽  
Enrico Motta
Keyword(s):  
Exploratory Study ◽  
Local Governments ◽  
Information Needs ◽  
Open Data ◽  
Public Agencies ◽  
Non Profit ◽  
Alternative Approach ◽  
Local Actors ◽  
The City ◽  
Urban Activities

Open Data are recognised as invaluable resources at the city level for improving local services, community engagement and businesses initiatives, but their use still struggle to have the desired impact. This work addresses the underuse of Open Data by exploring the connection between data and actions in everyday urban activities implemented by local governments, public agencies, businesses, non-profit organisations and research institutions operating in the city. The empirical results of this exploratory study outline a structural misalignment between a) roles of local actors in city activities and their data-related activities, b) provision of Open Data and information needs of local actors, c) expected uses of data in local actions and forms of support to the users provided by current city Open Data portals. The envisioned alternative approach to foster the use of Open Data at the city level rely on identifying the appropriate data to be produced for supporting local actions, instead than focusing on publishing data disconnected from real information needs of organisations working for local communities.

Supporting Users to Find Appropriate Visualizations of Spatio-Temporal Open Data Sets

2020 ◽  
Author(s):  
Jan Schulte ◽  
Laura Helene Zepner ◽  
Stephan Mäs ◽  
Simon Jirka ◽  
Petra Sauer
Keyword(s):  
Open Data ◽  
Data Sets ◽  
Temporal Data ◽  
Public Agencies ◽  
Use Of Data ◽  
Research Activities ◽  
Static Data ◽  
Spatio Temporal ◽  
Set Up ◽  
User Friendly

<p><span>Over the last few years, a broad range of open data portals has been set-up. The aim of these portals is to improve the discoverability of open data resources and to strengthen the re-use of data generated by public agencies as well as research activities.</span></p><p><span>Often, such open data portals offer an immense amount of different types of data that may be relevant for a user. Thus, in order to facilitate the efficient and user-friendly exploration of available data sets, it is essential to visualize the data as quickly and easily as possible. While the visuali</span><span>z</span><span>ation of static data sets is already well covered, selecting appropriate visuali</span><span>z</span><span>ation approaches for potentially highly-dynamic spatio-temporal data sets is often still a challenge.</span></p><p><span>Within our contribution, we will introduce a preliminary study conducted by the mVIZ project which is funded by the German Federal Ministry of Transport and Digital Infrastructure as part of the mFUND programm. This project </span><span>introduces</span> <span>a </span><span>methodology to support the selection and creation of user-friendly visualizations for data discoverable via the open data portals such as the mCLOUD. During this process, specific consideration </span><span>are </span><span>given to properties and metadata of the datasets as input for a decision workflow to suggest appropriate visuali</span><span>z</span><span>ation types. A resulting guideline will describe the methodology and serve as a basis for the conception, extension or improvement of visualization tools or for their further development and integration into open data portals.</span></p><p><span>The project focuses particularly on the creation of an inventory of open spatiotemporal data in open data portals as well as an overview of available visualization and analysis tools, the development of a methodology for selecting appropriate visualizations for the spatio-temporal data, and the development of a demonstrator for supporting the visualization of selected data sets.</span></p>

Attitudes Toward Public Agencies Scale

1991 ◽  
Author(s):  
Tom R. Tyler ◽  
Regina A. Schuller
Keyword(s):  
Public Agencies

Promote Good Governance in Public Financial: The Practice of Local Budget (APBD) Transparency Through Open Data Jakarta in Jakarta Provincial Government

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Dodi Faedlulloh ◽  
Fetty Wiyani
Keyword(s):  
Public Finance ◽  
Good Governance ◽  
Open Data ◽  
Public Trust ◽  
Provincial Government ◽  
Financial Governance ◽  
One Stop ◽  
Data Portal ◽  
Data Transparency ◽  
Local Budget

This paper aimed to explain public financial governance based on good governance implementation in Jakarta Provincial Government. This paper specifically discussed towards transparancy implementation of local budget (APBD) through open data portal that publishes budget data to public. In general, financial transparency through open data has met Transparency 2.0 standards, namely the existence of encompassing, one-stop, one-click budget accountability and accessibility. But there are indeed some shortcomings that are still a concern in order to continue to maintain commitment to the principle of transparency, namely by updating data through consistent data visualization.Transparency of public finance needs to continue to be developed and improved through various innovations to maintain public trust in the government.Keywords: Public Finance, Open Data, Transparency

Towards guaranteed data-integrity: A method of preventing Questionable Research Practices

2018 ◽  
Author(s):  
Dick Bierman ◽  
Jacob Jolij
Keyword(s):  
Real Time ◽  
Open Data ◽  
Data Integrity ◽  
Drop Out ◽  
Research Practices ◽  
Major Aspect ◽  
Questionable Research Practices ◽  
Blockchain Technology ◽  
Integrity System ◽  
Secure Server

We have tested the feasibility of a method to prevent the occurrence of so-called Questionable Research Practices (QRP). A part from embedded pre-registration the major aspect of the system is real-time uploading of data on a secure server. We outline the method, discuss the drop-out treatment and compare it to the Born-open data method, and report on our preliminary experiences. We also discuss the extension of the data-integrity system from secure server to use of blockchain technology.

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