The User Engagement of Open Data Portal

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

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.

scholarly journals Generating RDF resources from web open data portals

2019 ◽  
Vol 16 (3) ◽  
pp. 1521
Author(s):  
Khalid Saleh Aloufi
Keyword(s):  
Semantic Web ◽  
Web Application ◽  
Open Data ◽  
Public Institutions ◽  
Data Transformations ◽  
Web Standards ◽  
Private And Public ◽  
Data Portal ◽  
Future Work ◽  
The Web

<span>Open data are available from various private and public institutions in different resource formats. There are already great number of open data that are published using open data portals, where datasets and resources are mainly presented in tabular or sheet formats. However, such formats have some barriers with application developments and web standards. One of the web recommenced standards for semantic web application is RDF. There are various research efforts have been focused on presenting open data in RDF formats. However, no framework has transformed tabular open data into RDFs considering the HTML tags and properties of the resources and datasets. Therefore, a methodology is required to generate RDF resources from this type of open data resources. This methodology applies data transformations of open data from a tabular format to RDF files for the Saudi Open Data Portal. The methodology successfully transforms open data resources in sheet format into RDF resources. Recommendations and future work are given to enhance the development of building open data.</span>

scholarly journals The Challenges of Open Data Movement for Education: What is the Say of Young Employees and Students in Croatia?

2021 ◽  
pp. 374-383
Author(s):  
Branka Mraović
Keyword(s):  
Young People ◽  
Open Data ◽  
Technical Knowledge ◽  
Data Movement ◽  
Data Policy ◽  
Data Portal ◽  
Open Data Movement ◽  
The Impact ◽  
The City ◽  
Shed Light

This paper aims to shed light on how students and young employees in Croatia assess their education for open data and what is their opinion on the compliance of the central Open Data Portal with the needs of young people as well as how they evaluate open data policy related to the young people in Croatia. This research highlights the lack of technical knowledge as a serious obstacle to the productive use of open data. As many as 56% of respondents from companies that have undergone digital transformation believe that they do not have enough knowledge to participate in open data projects, and the same scepticism is expressed by 59.6% of non-technical respondents and 45.7% of students. The data presented in this paper is part of a broader empirical research on the impact of digitalization on the transformation of the Croatian economy, carried out by the author in late 2018 on a sample of 51 young employees from 10 companies in the city of Zagreb and 70 students from 16 technical and non-technical Faculties of Zagreb University.

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