Availability, Data Privacy and Copyrights – Opening Knowledge via Contracts and Pilots

Availability, Data Privacy and Copyrights – Opening Knowledge via Contracts and Pilots, discusses how in Aviisi-project of National Library of Finland, the digital contents, and their availability topics dealt together with pilot organizations

Henkilötietojen siirrot Euroopan unionista kolmansiin maihin erityisesti Euroopan unionin tuomioistuimen tuomion C-362/14 Maximillian Schrems v Data Protection Commissioner valossa

Tutkielman tarkoituksena on selvittää lukijalle, mistä syistä ja miten Euroopan unionin tietosuojainstrumentit – nykyinen tietosuojadirektiivi ja tuleva tietosuoja-asetus – asettavat rajoituksia EU:n kansalaisten henkilötietojen siirroille kolmansiin maihin kaupallisia tarkoituksia varten. Erityisen tarkastelun kohteena on henkilötietojen siirrot EU:n alueelta Yhdysvaltoihin mahdollistanut Safe Harbor-järjestelmä, jonka Euroopan unionin tuomioistuin katsoi pätemättömäksi asiassa C-362/14 Maximillian Schrems v Data Protection Commissioner. Tutkimusaiheen eli henkilötietojen rajat ylittävien siirtojen ollessa kansainvälisen oikeuden ja tietosuojaoikeuden leikkauspisteessä on tutkimuksessa käytetty molempien oikeudenalojen asiantuntijoiden tutkimuksia lähteenä. Kansainvälisen oikeuden peruslähteenä on käytetty Brownlien teosta Principles of Public International Law (6. painos), jota vasten on peilattu tutkimusaihetta tarkemmin käsittelevää kirjallisuutta. Erityisesti on syytä nostaa esille Bygraven tietosuojaoikeutta kansainvälisessä kontekstissa käsittelevä Data Privacy Law: An International Perspective sekä Kunerin nimenomaisesti henkilötietojen kansainvälisiä siirtoja käsittelevä Transborder Data Flows and Data Privacy Law. Uusien teknologioiden myötä nopeasti kehittyvästä tutkimusilmiöstä ja oikeudenalasta johtuen tutkimuksessa on käytetty lähdemateriaaleina runsaasti aihepiiriä käsitteleviä artikkeleita arvostetuista julkaisuista, sekä EU:n tietosuojaviranomaisten ja YK:n raportteja virallislähteinä. Keskeiset tutkimustulokset osoittavat EU:n ja sen jäsenvaltioiden intressit henkilötietojen siirroissa sekä EU:n asettamien henkilötietojen siirtosääntelyiden vaikutukset kolmansiin maihin. Globaalin konsensuksen saavuttamisen koskien henkilötietojen kansainvälisiä siirtosääntelyitä arvioitiin olevan ainakin lähitulevaisuudessa epätodennäköistä. Nykyisten alueellisten sääntelyratkaisujen osalta todettiin Euroopan neuvoston yleissopimuksen No. 108 eniten osoittavan potentiaalia maailmanlaajuiselle implementoinnille. Lopuksi arvioitiin oikeudellisen pluralismin mallin puitteissa tarkoituksenmukaisia keinoja EU:n kansalaisten perusoikeuksina turvattujen yksityisyyden ja henkilötietojen suojan parantamiseksi. Tarkastelu osoittaa EU:n kansalaisten sekä näiden henkilötietoja käsittelevien ja siirtävien yritysten välillä olleen tiedollinen ja voimallinen epätasapaino, joka ilmenee yksilön tiedollisen itseautonomian ja suostumuksen merkityksen heikentymisenä, joskin EU:n vuonna 2018 voimaan astuva tietosuoja-asetus organisaatioiden vastuuta korostamalla pyrkii poistamaan tätä ongelmaa.

Improving reporting management with relational database management system

Data management consists of collecting, storing, and processing the data into the format which provides value-adding information for decision-making process. The development of data management has enabled of designing increasingly effective database management systems to support business needs. Therefore as well as advanced systems are designed for reporting purposes, also operational systems allow reporting and data analyzing. The used research method in the theory part is qualitative research and the research type in the empirical part is case study. Objective of this paper is to examine database management system requirements from reporting managements and data managements perspectives. In the theory part these requirements are identified and the appropriateness of the relational data model is evaluated. In addition key performance indicators applied to the operational monitoring of production are studied. The study has revealed that the appropriate operational key performance indicators of production takes into account time, quality, flexibility and cost aspects. Especially manufacturing efficiency has been highlighted. In this paper, reporting management is defined as a continuous monitoring of given performance measures. According to the literature review, the data management tool should cover performance, usability, reliability, scalability, and data privacy aspects in order to fulfill reporting managements demands. A framework is created for the system development phase based on requirements, and is used in the empirical part of the thesis where such a system is designed and created for reporting management purposes for a company which operates in the manufacturing industry. Relational data modeling and database architectures are utilized when the system is built for relational database platform.

Analysis of Automotive Cybersecurity - Attack surfaces and users’ privacy concerns

Modern automobiles are no longer just mechanical tools. The electronics and computing services they are shipping with are making them not less than a computer. They are massive kinetic devices with sophisticated computing power. Most of the modern vehicles are made with the added connectivity in mind which may be vulnerable to outside attack. Researchers have shown that it is possible to infiltrate into a vehicle’s internal system remotely and control the physical entities such as steering and brakes. It is quite possible to experience such attacks on a moving vehicle and unable to use the controls. These massive connected computers can be life threatening as they are related to everyday lifestyle. First part of this research studied the attack surfaces in the automotive cybersecurity domain. It also illustrated the attack methods and capabilities of the damages. Online survey has been deployed as data collection tool to learn about the consumers’ usage of such vulnerable automotive services. The second part of the research portrayed the consumers’ privacy in automotive world. It has been found that almost hundred percent of modern vehicles has the capabilities to send vehicle diagnostic data as well as user generated data to their manufacturers, and almost thirty five percent automotive companies are collecting them already. Internet privacy has been studies before in many related domain but no privacy scale were matched for automotive consumers. It created the research gap and motivation for this thesis. A study has been performed to use well established consumers privacy scale – IUIPC to match with the automotive consumers’ privacy situation. Hypotheses were developed based on the IUIPC model for internet consumers’ privacy and they were studied by the finding from the data collection methods. Based on the key findings of the research, all the hypotheses were accepted and hence it is found that automotive consumers’ privacy did follow the IUIPC model under certain conditions. It is also found that a majority of automotive consumers use the services and devices that are vulnerable and prone to cyber-attacks. It is also established that there is a market for automotive cybersecurity services and consumers are willing to pay certain fees to avail that.

Collecting valuable consumer data: Motivating consumers to disclose personal information

Collecting and analyzing consumer data is essential in today’s data-driven business environment. However, consumers are becoming more aware of the value of the information they can provide to companies, thereby being more reluctant to share it for free. Therefore, companies need to find ways to motivate consumers to disclose personal information. The main research question of the study was formed as “How can companies motivate consumers to disclose personal information?” and it was further divided into two subquestions: 1) What types of benefits motivate consumers to disclose personal information? 2) How does the disclosure context affect the consumers’ information disclosure behavior? The conceptual framework consisted of a classification of extrinsic and intrinsic benefits, and moderating factors, which were recognized on the basis of prior research in the field. The study was conducted by using qualitative research methods. The primary data was collected by interviewing ten representatives from eight companies. The data was analyzed and reported according to predetermined themes. The findings of the study confirm that consumers can be motivated to disclose personal information by offering different types of extrinsic (monetary saving, time saving, self-enhancement, and social adjustment) and intrinsic (novelty, pleasure, and altruism) benefits. However, not all the benefits are equally useful ways to convince the customer to disclose information. Moreover, different factors in the disclosure context can either alleviate or increase the effectiveness of the benefits and the consumers’ motivation to disclose personal information. Such factors include the consumer’s privacy concerns, perceived trust towards the company, the relevancy of the requested information, personalization, website elements (especially security, usability, and aesthetics of a website), and the consumer’s shopping motivation. This study has several contributions. It is essential that companies recognize the most attractive benefits regarding their business and their customers, and that they understand how the disclosure context affects the consumer’s information disclosure behavior. The likelihood of information disclosure can be increased, for example, by offering benefits that meet the consumers’ needs and preferences, improving the relevancy of the asked information, stating the reasons for data collection, creating and maintaining a trustworthy image of the company, and enhancing the quality of the company’s website.