Thesis is divided into two parts. First part is theoretic the second one is practically focused. In the theoretic focused part thesis examines area of open data sources and trends, which appears in this area. In practically oriented part are data processed with Business Intelligence methods. Goal of this part was show that it is possible to process this open data with help of BI and report them similarly, like data from companies and show obstacles, which can appear. Thesis is divided in six chapters. First chapter is introduction, second is searches, third one focuses on trends and use of open data, fourth shows, where open data can be found, fifth describes processing of chosen data with BI, sixth chapter is final and sums up work and describes fulfilling of goals.

Open data are currently a “hot” topic and are linked to greater openness and transparency in a country. Nowadays governments around the world are posting their datasets on online portals so they can become accessible from anyone. These online portals provide information from areas such as: health, transport, education, environment, politics etc. The rapid development of open data portals makes it necessary to evaluate their accessibility and ease of use. One of the biggest challenges that Open Data Portals face when being evaluated, is delivering a better user experience. Based on what other authors have said in relation to this, these portals still do not provide a good support for non-technical users resulting in an unpleasant experience for them.        Aims: This paper aims to discover problems that users come across when they navigate in a specific open data portal in terms of the feelings and emotions they receive from it. A number of evaluations found within related literature are discussed and then an assessment framework is developed to evaluate the user experience of Open Data Portals. Methodology: Based on the research question, an interpretive paradigm and a qualitative approach have been used to conduct the study. Interviews, observations and questionnaires represent the methods for data collection. An inductive content analysis is applied for the analysis of the qualitative data.  Empirical findings: After interviewing 2 technical users and observing or sending questionnaires to 11 students, 5 dimensions are recognized as having an influence on the experience that a user get when navigating an Open Data Portal. They include: Quality of Data, Accessibility, Interactivity, Complexity and Trust.  Conclusions: The study showed that people encounter difficulties on performing specific tasks because of the lack of support. The data has to be updated and modified to provide quality and accuracy. Improvements are requisite in user engagement and privacy issues. Further research is needed to be done for the application of the proposed framework in a specific Open Data Portal.

As part of its quest to become the first digital African city, in 2014 the City of Cape Town adopted an open data policy, which was later coupled with an open data portal to make government data available for public access. This was touted as a novelty initiative as the City of Cape Town was the first African city to implement a policy of this nature. This open data initiative aimed at enhancing transparency and accountability as well as promoting inclusive economic participation for its citizens. Open data project managers from the city and external industry experts working on open data initiatives were interviewed to understand the current the state of open data within the city and how it worked with other stakeholders. The study draws on these interviews to present the current challenges experienced by the city from the city’s official point of view as well as from open data experts working closely with the city. To understand the practical experiences of how the city publishes data in its platforms, the study also extensively explored the city’s open data portal, as well as examining and commenting on the documented open data policy guidelines contrasted and compared to current practical experiences. To guide the objectives and analysis of the study, four key themes were adopted from literature; context, use, data and impact. Context focused on the overall context or environment at which open data in the city is provided as a public service, while use focused challenges on the uses of open data as well as it is users, data focused on the types of datasets published on the portal as well as the technical challenges in publishing them. Lastly impact looked at the expected benefits and goals of the city’s open data policy. The study through the themes highlighted the ongoing challenges at various levels that the city experience as they implement and develop the open data policy. Overall it was noted that open data was not a goal but continuous challenges were arising daily while implementing and developing the policy- while it was noted that various stakeholders within and outside government had to collaborate to effectively meet the required open data standards.

Open government data, concerned with the opening and publishing of government data in a free, accessible, and machine-readable format, aims to encourage public participation in government affairs, increasing government transparency and accountability. It is also posited that open government data will inspire businesses, the public and government agencies to use it and contribute to economic growth and value creation. The Canadian federal, provincial, and local governments have been actively opening and releasing open datasets about multiple subjects of interest to the public. However, evidence of the benefits of using open government datasets by Canadian businesses is scant, with no empirical research undertaken in Canada to understand how the data are used and what value is being created. Based on a qualitative approach, this thesis focuses on the works and experiences of 17 professed open data intermediary firms in Canada. It aims to discover patterns and themes that provide insights into how open government data were used, the challenges facing open data intermediaries, the state of open government data, and the economic value created. The data collection is based on semi-structured interviews conducted virtually with the founder or company's executives. In addition, the findings highlight the key similarities and differences in the activities open data intermediaries performed and the importance of resources and capabilities in developing products/services that contribute to economic value creation. Finally, five critical challenges impacting the use of open government data are identified: awareness, quality of open government data, competencies of users, data standards, and value creation.

Inför sommaren 2015 var 40 % av alla bygglovsansökningar som skickades in till Karlstads kommun antingen felaktiga eller ofullständiga och det leder till stora förseningar på tiden det tar från inskickad ansökan till att beslut fattas från kommunens handläggare. Denna kandidatuppsats syftar till att undersöka om det med hjälp av gamification och öppna data går att förenkla e-tjänster och på vilket sätt, med ansökan av byggnadslov som exempel på en kommunal e-tjänst på hos Karlstads kommun. Gamification innebär att applicera spelmekanismer eller spelupplevelser i icke spelrelaterade sammanhang för att öka motivationen och engagemanget hos användarna. Öppna data är när data som tidigare inte varit tillgänglig blir disponibel för allmänheten att använda, återanvända och distribuera utan andra förbehåll än källangivelse. Kandidatuppsatsen har genomförts i form av litteraturgenomgång som bas och kvalitativa intervjuer med personer som arbetar med gamification, öppna data eller kommunala e-tjänster. Slutsatserna av undersökningen visar att e-tjänster kan behöva bli mer självförklarande och enklare så att fler medborgare klarar av att använda e-tjänsten. Genom att applicera enklare spelmekanismer som passar till kontexten hos en e-tjänst och informationen som går att få ut genom öppna data är det möjligt att förenkla e-tjänster och göra de mer motiverande för slutanvändaren. Gamification kan göra e-tjänster enklare och mer motiverande med till exempel:  Ge användaren mer feedback  Sparfunktion så att användaren får möjlighet att spara sina framsteg  Förloppsindikator så att användaren kan följa hur långt i processen den kommit Öppna data kan göra e-tjänster enklare och mer motiverande med till exempel:  Geografisk data  Korslänkning av olika öppna data

This presentation was given at the 2012 Open Access Week program, “The Open Data Revolution: Challenges and Innovations” on October 23, 2012. Open Access Week is a world-wide event where academic institutions explore Open Access – the ideal of free, full-text, immediate, online access to peer-reviewed scholarship and research results so new ideas and information can be obtained rapidly and freely by everyone. Many funding agencies, such as the National Science Foundation, and journal publishers, such as Nature, require researchers to share data produced during the course of their research. When researchers share their data, other researchers can reuse it to answer new questions, opening up new interpretations and discoveries. Sharing data may also lead to sharing research processes, workflows and tools and may make research articles and papers more useful and citable by others.

This presentation was given at the 2012 Open Access Week program, “The Open Data Revolution: Challenges and Innovations” on October 23, 2012. Open Access Week is a world-wide event where academic institutions explore Open Access – the ideal of free, full-text, immediate, online access to peer-reviewed scholarship and research results so new ideas and information can be obtained rapidly and freely by everyone. Many funding agencies, such as the National Science Foundation, and journal publishers, such as Nature, require researchers to share data produced during the course of their research. When researchers share their data, other researchers can reuse it to answer new questions, opening up new interpretations and discoveries. Sharing data may also lead to sharing research processes, workflows and tools and may make research articles and papers more useful and citable by others.

This presentation was given at the 2012 Open Access Week program, “The Open Data Revolution: Challenges and Innovations” on October 23, 2012. Open Access Week is a world-wide event where academic institutions explore Open Access – the ideal of free, full-text, immediate, online access to peer-reviewed scholarship and research results so new ideas and information can be obtained rapidly and freely by everyone. Many funding agencies, such as the National Science Foundation, and journal publishers, such as Nature, require researchers to share data produced during the course of their research. When researchers share their data, other researchers can reuse it to answer new questions, opening up new interpretations and discoveries. Sharing data may also lead to sharing research processes, workflows and tools and may make research articles and papers more useful and citable by others.

This presentation was given at the 2011 Open Access Week program, “The Future of Data: Open Access and Reproducibility” on October 25, 2011. Open Access Week is a world-wide event where academic institutions explore Open Access – the ideal of free, full-text, immediate, online access to peer-reviewed scholarship and research results so new ideas and information can be obtained rapidly and freely by everyone. Open Data is the idea that data should be freely available to anyone to use and reuse without access restrictions, licenses, copyright, patents and charges for use.

This presentation was given at the 2011 Open Access Week program, “The Future of Data: Open Access and Reproducibility” on October 25, 2011. Open Access Week is a world-wide event where academic institutions explore Open Access – the ideal of free, full-text, immediate, online access to peer-reviewed scholarship and research results so new ideas and information can be obtained rapidly and freely by everyone. Open Data is the idea that data should be freely available to anyone to use and reuse without access restrictions, licenses, copyright, patents and charges for use. For many scientists, integrating data is becoming a necessity.