Methods for Utilising Local Government’s Public Data Released to The Public Data Portal

2021 ◽  
Vol 22 (3) ◽  
pp. 445-452
Author(s):  
Dongjun Kim ◽  
Hyeonji Kim ◽  
Chaeeun Song ◽  
Jiwoo Yang ◽  
Haklae Kim
Keyword(s):  
Author(s):  
J. Kang ◽  
S. Yeon ◽  
J. Lee

<p><strong>Abstract.</strong> Typical types of natural disasters that occur in Korea are damages from heavy rain, storm, and heavy snow. In order to prepare for this, the storm and flood damage insurance program is operated. For this purpose, the risk of these damages is calculated for each region, and the storm and flood damage insurance map is created based on the risk. This map can provide insight into the degree of risk to wind and flood, snow damage, as well as policies to prevent and prepare for each type of natural disaster. In order to support decision-making by utilizing this insurance map, it is necessary to use with disaster Information contents. In order to efficiently construct such disaster information contents, it is possible to utilize public data produced by various organizations. Korea has a public data portal to open various administrative information. The public data portal currently publishes and updates about 25,000 data from 700 organizations. In this study, the linkage system is designed that can construct disaster information contents by collecting public data and processing it so that it can be overlapped with the insurance map. The system automatically links public data to keep up-to-date disaster information content. It is expected that it will be able to prevent and prepare for natural disaster by supporting the decision making of decision makers related to flood damage.</p>


Author(s):  
S. Yeon ◽  
J. Kang ◽  
I. Lee

<p><strong>Abstract.</strong> Typical types of natural disasters that occur in Korea are damages from heavy rain, storm, and heavy snow. In order to prepare for this, the storm and flood damage insurance program is operated. For this purpose, the risk of these damages is calculated for each region, and the storm and flood damage insurance map is created based on the risk. This map can provide insight into the degree of risk to wind and flood, snow damage, as well as policies to prevent and prepare for each type of natural disaster. In order to support decision-making by utilizing this insurance map, it is necessary to use with Storm and Flood Damage Information contents. In order to efficiently construct such disaster information contents, it is possible to utilize public data produced by various organizations. Korea has a public data portal to open various administrative information. The public data portal currently publishes and updates about 25,000 data from 700 organizations. In this study, the linkage system is designed that can construct disaster information contents by collecting public data and processing it so that it can be overlapped with the insurance map. The system automatically links public data to keep up-to-date disaster information content. It is expected that it will be able to prevent and prepare for natural disaster by supporting the decision making of decision makers related to flood damage.</p>


2019 ◽  
Vol 16 (1 (4)) ◽  
pp. 87-96
Author(s):  
Dominik Sybilski

The Central Public Information Repository (CRIP) was introduced into the legal system by the act of 16 September 2011 amending the act on access to public information. The main goal behind the introduction of CRIP was to support the economic exploitation of information. CRIP’s functions are implemented by the Ministry of Administration and Digitization launching an open public data portal (danepubliczne.gov.pl) in May 2014. So far, CRIP has appeared in the literature in the context of access to public information. However, there is a lack of works on CRIP as a national open data portal to distribute information for re-use. This issue in particular has become increasingly important in view of the adoption by the Council of Ministers of the Public Data Access Program, a government strategy dedicated to public policy in the area of open data. Furthermore, due to the entry into force of the Act of 25 February 2016 on the re-use of public sector information, there is an interesting issue about the scope of the CRIP. The article analyzes CRIP regulations in terms of their effectiveness for the implementation of the right to reuse and the policy of open data. The article concludes the findings of the analysis and attempts to propose de lege ferenda conclusion.  


2018 ◽  
Vol 10 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Muhammad Iqbal Perkasa ◽  
Eko Budi Setiawan

Data is one of the most important things in this information and information technology era that evolving now. Currently, the government still has not used the public data maximally for administrative purposes. Utilization of this big population data is the creation of a web service application system with REST API where this data will be open and accessible to those who have access. One of the institutions that use this service is the Manpower and Transmigration Service where this system can make the Dinas staff more efficient to create and register job search cards using available community data. This application is able to provide and facilitate many parties, such as data administrators to monitor data usage, registration employee in input data, and people able to register independently. Index Terms—Web service, API, Rest api, People data


Author(s):  
Andrea Kropp ◽  
Gaurang Mitu Gulati ◽  
Mark C. Weidemaier

2021 ◽  
Vol 66 (Special edition 2021/1) ◽  
pp. 52-67
Author(s):  
Gergely Pálmai ◽  
Szabolcs Csernyák ◽  
Zoltán Erdélyi

The analysis focused on how efficient management of the national data asset is supported by the Hungarian regulatory framework concerning the use of public information, and whether public data constituting part of the national data asset can be deemed authentic and reliable to support the efforts for the digitalisation and artificial intelligence-based developments of the public sector. The analysis shows why the availability of authentic and reliable data in terms of the national data asset has outstanding significance. In support of this assertion, it presents the different levels of data asset use, the role of using artificial intelligence in the public sector, and the significance, risks and challenges of the authenticity and reliability of public data, from both a data protection and a public finance aspect. Inaccuracy, unreliability of input data predestines the generation of incorrect result products (conclusion, decision), even if the appropriate algorithm is used, which could lead to direct financial loss, for both the citizens and the state. The authors of the analysis therefore suggest that a paradigm shift is necessary in the strategies targeting the efficient use of the public sector’s data, with the necessity to record the fundamental precondition that the national data asset must be based on reliable and authentic data.


2020 ◽  
Vol 15 (1) ◽  
pp. 25-36
Author(s):  
Rosyidatuzzahro Anisykurlillah

Illiteracy is a global issue that must be addressed immediately. In Malang Regency, there were 18,535 people who were illiterate. The effort of the Malang Regency Education Office to improve AMH is through Non-Formal Education Program (PNF). The assessment of the literacy development program through the PNF Program can use Context, Input, Process, and Product (CIPP) evaluation assessments. This research uses descriptive research with a qualitative approach. The purpose of this research is to describe and analyze the evaluation of literacy education through the PNF Program in Malang Regency using the CIPP methods. Data analysis techniques used in this study are interactive model analysis of Miles, Huberman, and Saldana. Based on the evaluation results using the CIPP (Context, Input, Process, and Product) method, there are still obstacles that must be resolved for the success of the PNF program. These obstacles include learning time that is not on schedule, lack of awareness of citizens in following the program, incapability of citizens, the difficulty of convincing the public, data collection of prospective citizens who fail to meet expectations. Abstrak Isu permasalahan buta huruf merupakan isu global yang harus segera ditangani. Pendidikan keaksaraan (belajar membaca dan menulis) diukur dengan Angka Melek Huruf (AMH) dapat menggambarkan jumlah orang yang memperoleh akses pendidikan sebagai hasil pembangunan. Di Kabupaten Malang terdapat 18.535 orang yang buta huruf. Upaya Dinas Pendidikan Kabupaten Malang untuk meningkatkan AMH adalah dengan Program Pendidikan Non Formal (PNF). Untuk menilai pembangunan pendidikan keaksaraan melalui Program PNF dapat menggunakan penilaian evaluasi Context, Input, Process, and Product (CIPP). Penelitian ini menggunakan jenis penelitian deskriptif dengan pendekatan kualitatif. Teknik analisis data yang digunakan dalam penelitian ini adalah interactive model analysis Miles, Hubermana, dan Saldana. Jika dilihat dari hasil Evaluasi menggunakan metode CIPP (Context, Input, Process, dan Product), masih ada hambatan-hambatan yang harus diselesaikan demi keberhasilan program PNF. Hambatan tersebut diantaranya waktu pembelajaran yang tidak sesuai jadwal, kurang kesadaran warga Belajar (WB) dalam mengikuti program, ketidakmampuan Warga Belajar (WB), sulitnya meyakinkan masyarakat, pendataan calon warga belajar yang tidak sesuai harapan.


Author(s):  
Joel Stafford

Background with rationaleIt is commonplace in policy discussions concerning administrative data linkage to presuppose that the data referred to is government services data. But this is not always the case. Much of the data public services hold is now collected via intermediaries, such as Non-Government Organisations, operating under service contracts with one or multiple government departments. Nor are these the only administrative data holdings applicable to clients of government services. There are also vast private administrative data holdings – including utility data, and consumer behaviour data. Creating and amending legislation that governs public service practices in this domain is increasingly made complex when private companies partner with governments agencies on policy development and evaluation work. Understanding the concept of public data for public good in light of this expanded sense of administrative data opens the door to deeper questions about the role linked data can play in government decision making. Main aimThe paper problematizes how legislation governing the linking of government administrative data is scoped and discusses how public service work can be affected by the opaque communication networks that increasingly span the public-private sector divide. Methods/ApproachAfter contextualising the challenge of legislating for administrative data linkage in the current work of the Office of the National Data Commissioner (ONDC) in Australia, this paper tests aspects of the proposed legislation against the extent to which it permits the possibility of ‘data laundering’. ResultsThe presentation demonstrates the need for greater sophistication in the specification of data linkage and sharing legislation in service of the public good. Conclusions This paper indicates that contemporary practices governing the linkage of government administrative data holdings is porous to the aims of extra-governmental organisations and may benefit by better incorporating legislative structures that govern private analytical services entities.


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