Embracing Open Policies to Enable Access to Information: The Edo State Open Data Portal

2018 ◽  
pp. 27-44
Author(s):  
Kunle Ola
Keyword(s):  
Open Data ◽  
Access To Information ◽  
Edo State ◽  
Data Portal

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

scholarly journals Quo Vadis Open data?

2018 ◽  
Vol 12 (2) ◽  
pp. 179-220
Author(s):  
Jozef Andraško ◽  
Matúš Mesarčík
Keyword(s):  
Public Sector ◽  
Data Protection ◽  
New Technologies ◽  
Open Data ◽  
Legal Order ◽  
Free Access ◽  
Access To Information ◽  
European Union Law ◽  
Public Sector Information ◽  
Quo Vadis

New technologies have irreversibly changed the nature of the traditional way of exercising the right to free access to information. In the current information society, the information available to public authorities is not just a tool for controlling the public administration and increasing its transparency. Information has become an asset that individuals and legal entities also seek to use for business purposes. PSI particularly in form of open data create new opportunities for developing and improving the performance of public administration.In that regard, authors analyze the term open data and its legal framework from the perspective of European Union law, Slovak legal order and Czech legal order. Furthermore, authors focus is on the relation between open data regime, public sector information re-use regime and free access to information regime.New data protection regime represented by General Data Protection Regulation poses several challenges when it comes to processing of public sector information in form of open data. The article highlights the most important challenges of new regime being compliance with purpose specification, selection of legal ground and other important issues.

scholarly journals RESOURCES PROVIDING DATA FOR MACHINE LEARNING AND TESTING ARTIFICIAL INTELLIGENCE TECHNOLOGIES

2021 ◽  
pp. 39-52
Author(s):  
Денис Валерьевич Сикулер
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
World Bank ◽  
Open Data ◽  
Data Access ◽  
Free Access ◽  
Internet Resources ◽  
Data Registry ◽  
Data Portal ◽  
Access To Data

В статье выполнен обзор 10 ресурсов сети Интернет, позволяющих подобрать данные для разнообразных задач, связанных с машинным обучением и искусственным интеллектом. Рассмотрены как широко известные сайты (например, Kaggle, Registry of Open Data on AWS), так и менее популярные или узкоспециализированные ресурсы (к примеру, The Big Bad NLP Database, Common Crawl). Все ресурсы предоставляют бесплатный доступ к данным, в большинстве случаев для этого даже не требуется регистрация. Для каждого ресурса указаны характеристики и особенности, касающиеся поиска и получения наборов данных. В работе представлены следующие сайты: Kaggle, Google Research, Microsoft Research Open Data, Registry of Open Data on AWS, Harvard Dataverse Repository, Zenodo, Портал открытых данных Российской Федерации, World Bank, The Big Bad NLP Database, Common Crawl. The work presents review of 10 Internet resources that can be used to find data for different tasks related to machine learning and artificial intelligence. There were examined some popular sites (like Kaggle, Registry of Open Data on AWS) and some less known and specific ones (like The Big Bad NLP Database, Common Crawl). All included resources provide free access to data. Moreover in most cases registration is not needed for data access. Main features are specified for every examined resource, including regarding data search and access. The following sites are included in the review: Kaggle, Google Research, Microsoft Research Open Data, Registry of Open Data on AWS, Harvard Dataverse Repository, Zenodo, Open Data portal of the Russian Federation, World Bank, The Big Bad NLP Database, Common Crawl.

The User Engagement of Open Data Portal

2021 ◽  
Author(s):  
Dewi Krismawati ◽  
Achmad Nizar Hidayanto
Keyword(s):  
Open Data ◽  
User Engagement ◽  
Data Portal

LigADOS: Interlinking Datasets in Open Data Portal Platforms on the Semantic Web

2021 ◽  
pp. 73-84
Author(s):  
Glaucia Botelho de Figueiredo ◽  
Kelli de Faria Cordeiro ◽  
Maria Luiza Machado Campos
Keyword(s):  
Semantic Web ◽  
Open Data ◽  
Data Portal

scholarly journals New developments on the Encyclopedia of DNA Elements (ENCODE) data portal

2019 ◽  
Vol 48 (D1) ◽  
pp. D882-D889 ◽  
Author(s):  
Yunhai Luo ◽  
Benjamin C Hitz ◽  
Idan Gabdank ◽  
Jason A Hilton ◽  
Meenakshi S Kagda ◽  
...  
Keyword(s):  
Open Data ◽  
Public Access ◽  
New Developments ◽  
Encode Project ◽  
Data Registry ◽  
Amazon Web Services ◽  
Dna Elements ◽  
Data Portal ◽  
Visualization Tools ◽  
Human And Mouse

Abstract The Encyclopedia of DNA Elements (ENCODE) is an ongoing collaborative research project aimed at identifying all the functional elements in the human and mouse genomes. Data generated by the ENCODE consortium are freely accessible at the ENCODE portal (https://www.encodeproject.org/), which is developed and maintained by the ENCODE Data Coordinating Center (DCC). Since the initial portal release in 2013, the ENCODE DCC has updated the portal to make ENCODE data more findable, accessible, interoperable and reusable. Here, we report on recent updates, including new ENCODE data and assays, ENCODE uniform data processing pipelines, new visualization tools, a dataset cart feature, unrestricted public access to ENCODE data on the cloud (Amazon Web Services open data registry, https://registry.opendata.aws/encode-project/) and more comprehensive tutorials and documentation.

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