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Data Analysis and Visualization of the Brno City Council
Zaklová, Kristýna ; Burget, Radek (referee) ; Hynek, Jiří (advisor)
The aim of this thesis was to analyze the data from the Brno City Council voting and propose their visualization, i.e. an understandable presentation of the obtained information and statistics about the representatives' decisions. The system was designed to be applicable to other councils, and thus, it includes an input model for voting data. The developed solution is a web application with a client-server architecture, and it was implemented using the Flask framework and the React library. The correctness of the created dataset was verified against the minutes of council meetings. The application itself was tested with a selected sample of users and in real operation. The main benefits of this work include providing more transparent information about the activities of Brno city councillors, creating an analytical tool for Brno citizens, and offering the potential to extend the solution to other municipalities.
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Otevřená data v oblasti vědeckého výzkumu
DOKTOR, Ondřej
This thesis focuses on the topic of open data in academic and research sectors and the openness, sustainability, and reusability of data which are being processed in diverse scientific communities. Since this topic is very broad, the thesis narrows its focus down to the author's home institution, the Faculty of Science, University of South Bohemia, Czech Republic, and its data sources in respect to the FAIR data principles. The main questions being discussed are: Is it possible to convert the current data foundation of research groups of the Faculty of Science of the University of South Bohemia into a FAIR form and how demanding would this transformation be? What data foundations now exist at the institution and in what form? What needs to be done to consider these data foundations as FAIR? What prevents the transformation of these data foundations into FAIR form? How is it possible to carry out this transformation in practice?
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Citizen Mapping as a City-Making Practice
Koncar-Gamulin, Lovro
This paper hypothesises that gaps in knowledge and understanding of our urban spatial processes have been facilitated by a stark emphasis on measurable and simulated data, as well as by the absence of non-measurable subjective experiences in contemporary data collection methods. Therefore, the paper discusses an inclusive way of contributing to city-making in which citizens create as well as add value to, and extract value through their collective efforts. The research aims to deepen engagement between citizens and urban design by discussing an app-based participatory tool through which citizens can identify, record and reflect upon different space-making parameters in their immediate surroundings. This tool provides a novel vocabulary to challenge the exclusionary practices of contemporary data collection, and brings out the strengths of citizen participation within urban design.
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Computer Applications in Archaeology 21 / 2022, Kostelec nad Černými lesy, 1.-3. 6. 2022. Abstract book
Demján, Peter
The proceedings present a summary of the abstracts of talks presented at the 21st annual Computer Applications in Archaeology conference. The theme of the conference was Archaeology of Open Data. Talks focused mainly on research and other use of data that are made openly available (e.g. they come from open databases or other similar sources). The goal of the conference was to discuss the possibilities of data reuse in archaeology in accordance with the FAIR principles. The program was further supplemented with thematic workshops on data reuse.
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Open Data of justice.cz and ARES
Mikyska, Daniel ; Loutocký, Pavel (referee) ; Míšek, Jakub (advisor)
This bachelor thesis deals with public sector information, especially open data. It describes their definition, conditions, legislation and mandatory entities that are obliged to create this data. The next section deals with possible obstacles that may arise when opening, or reusing, open data. The protection of privacy and personal data is described the most. It states here what personal data is, how their processing is defined and who is the controller of personal data. In the last part, this work deals with the practical part, which aims to show how the basic way to use open data in a simple web application.
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Open data gathering and how to use it in cybersecurity
Gašparová, Marta ; Malina, Lukáš (referee) ; Paučo, Daniel (advisor)
This thesis deals with Data Gathering from Open Sources which can be used in Cyber Security; an analysis of the OSINT tools; a creation of a Data Gathering Tool itself. The theoretical part of the thesis explores Data Gathering within the framework of Ethical Hacking and in which phase of Penetration Testing the Data Extraction is crucial. Following the analysis of the OSINT tools the Practical part of the thesis examines the Created Tool itself which was written in Python programming language. Via API interface the Tool allows interaction with other OSINT tools such as Censys, crt.sh or DNSDumpster. After entering the IP address or domain of the target company the Tool is able to search for basic information such as location, DNS names and running services. Based on the target URL the Tool is able to show both present and absent HTTP security headers on the given website and also based on the entered domain it can search for SSL/TLS certificates, subdomains and emails of the target company.
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Software architecture of open government
Kroupa, Tomáš ; Nečaský, Martin (advisor) ; Chlapek, Dušan (referee)
Public administration owns a large amount of information, whose value is not utilized yet. An application of Open Data and Linked Data principles could enable not only to effectively publish this information, but also to exploit the value. The aim of this thesis is to analyse contemporary situation, assess and debate the barriers and also suggest the solutions for application of the principles in the Public Administration of The Czech Republic.
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Open Data and their use in Czech Data Journalism
Krawiecová, Nela ; Moravec, Václav (advisor) ; Macková, Veronika (referee)
The fundamental source of data journalism, which has established itself in the Czech media landscape in recent years, is the availability of usable data sets. However, academicians have so far neglected the topic of data openness and its importance in journalistic discourse. Simultaneously, data journalists are often the first to make data available to the public. An integral part of the thesis is mapping the historical development of data journalism, including the phenomenon of open government with a focus on Czech and European legislation and obtaining information with the help of the Freedom of Information Act. The aim of the thesis is, based on in-depth interviews with Czech data journalists, to identify the data sources which they frequently often use in their editorial routines, to evaluate the quality of these sources and to present the main limits that journalists encounter. In the conclusive part of the thesis the author transfers the focus to analysis of the availability of data sources provided by the Ministry of Health and the Institute of Health Information and Statistics during the COVID-19 pandemic in 2020 and 2021 and outlines the process of acquisition, cleaning, analysis, and visualization of information by journalists.
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Estimating mobile coverage by means of regression
Walach, Dominik ; Raida, Václav (referee) ; Blumenstein, Jiří (advisor)
This diploma thesis deals with the use of freely available data sets to estimate the signal strength in localities where measurements are missing. This work aimed to use interpolation and regression methods to estimate as accurately as possible the possible signal coverage in a given locality. First, data sets were analyzed, based on results, a test model for various methods has been created. The methods with the best results have been implemented on real data sets containing thousands of measurements. At the end of the work, accurate estimates are commented and circumstances to reduce the deviation of the measured and calculated values are specified.
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Big Data Analytics In The Context Of Mobile Network Performance Optimization
Klus, Roman
Crowdsourcing is a modern and growing technique of acquiring large amount of information. This project utilizes the data on mobile connectivity gathered by RTR NetzTest application to evaluate the performance indicators of the network. The software tool capable of assessing the network based on location, operator and other parameters will be created and utilized for benchmarking of the Austrian network operators. The software tool will be able to monitor the individual telecommunication nodes to estimate their performance in time.
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