In earth observation and climatological sciences, data and their data services grow on a daily basis in a large spatial extent due to the high coverage rate of satellite sensors, model calculations, but also by continuous meteorological in situ observations. In order to reuse such data, especially data fragments as well as their data services in a collaborative and reproducible manner by citing the origin source, data analysts, e.g., researchers or impact modelers, need a possibility to identify the exact version, precise time information, parameter, and names of the dataset used. A manual process would make the citation of data fragments as a subset of an entire dataset rather complex and imprecise to obtain. Data in climate research are in most cases multidimensional, structured grid data that can change partially over time. The citation of such evolving content requires the approach of "dynamic data citation". The applied approach is based on associating queries with persistent identifiers. These queries contain the subsetting parameters, e.g., the spatial coordinates of the desired study area or the time frame with a start and end date, which are automatically included in the metadata of the newly generated subset and thus represent the information about the data history, the data provenance, which has to be established in data repository ecosystems. The Research Data Alliance Data Citation Working Group (RDA Data Citation WG) summarized the scientific status quo as well as the state of the art from existing citation and data management concepts and developed the scalable dynamic data citation methodology of evolving data. The Data Centre at the Climate Change Centre Austria (CCCA) has implemented the given recommendations and offers since 2017 an operational service on dynamic data citation on climate scenario data. With the consciousness that the objective of this topic brings a lot of dependencies on bibliographic citation research which is still under discussion, the CCCA service on Dynamic Data Citation focused on the climate domain specific issues, like characteristics of data, formats, software environment, and usage behavior. The current effort beyond spreading made experiences will be the scalability of the implementation, e.g., towards the potential of an Open Data Cube solution.

Databases and database technology have become an essential component of everyday life in modern society. As databases are widely used in every organization with a computer system, control of data resources and management of data are very important. Database Management System (DBMS) is the most significant tool developed to serve multiple users in a database environment consisting of programs that enable users to create and maintain a database. Windows Distributed Internet Applications (DNA) architecture describes a framework of building software technologies together in an integrated web and client-server model of computing. This thesis focuses on development of a general database management system, for small and medium sized manufacturing enterprises, by using Windows DNA technology. Defining, constructing and manipulating institutional, commercial and operational data of the company is the main frame of the work. And also by integrating &ldquo / Optimization&rdquo / and &ldquo / Agent&rdquo / system components which were previously developed in Middle East Technical University, Mechanical Engineering Department, Computer Integrated Manufacturing Laboratory (METUCIM) into the SME DBMS, a unified information system is developed. &ldquo / Optimization&rdquo / system was developed in order to calculate optimum cutting conditions for turning and milling operations. &ldquo / Agent&rdquo / system was implemented to control and send work orders to the available manufacturing cell in METUCIM. The components of these systems are redesigned to share a unique database together with the newly developed &ldquo / SME Information System&rdquo / application program in order to control data redundancy and to provide data sharing and data integrity.

This diploma thesis deals with the use of the cloud in a particular company. The main objective is to select a system that enables sharing and synchronizing data between employees and to prepare a proposal to deploy the system with regard to specific needs of the analyzed company. As part of the work is also the situation analysis, opportunity study and risk analysis.

Address data within geographic information systems (GIS) is used as reference data to link personal and administrative information, thus making it possible to locate and deliver goods and services to eligible persons. Preferably, every country must develop and maintain a single national address database (NAD) to eliminate data redundancy and provide a common point of reference across the board. In South Africa, the challenge is that there are separate address databases, which are developed and maintained by various public and private organizations – with little or no cooperation on data sharing. Currently, the establishment of a Committee for Spatial Information (CSI) which is tasked with the implementation of the South African Spatial Data Infrastructure (SASDI) and the publication of the South African Address Standard (SANS 1883) offer organizations an opportunity to collaborate towards the creation of a single address dataset. This research posits that the implementation of a successful data sharing initiative depends on the understanding of motivators and barriers of organizations participating in it. The research applied the case study method – with a semi-structured questionnaire – to assess the issues that motivate or obstruct GIS data sharing among three address organizations in South Africa. The results identified significant motivators that underlie the data sharing activities, e.g. reduced cost of data collection, improved data quality; and equally identified significant barriers that make organizations reluctant to enter into a data sharing initiative, e.g. data copyright and ownership, high staff-turnover, and lack of financial and technical resources. Although the case studies focused on address data in South Africa, the research findings can equally apply to other spatial datasets and are relevant for the successful implementation of the South African Spatial Data Infrastructure (SASDI). / Dissertation (MIT)--University of Pretoria, 2012. / Computer Science / Unrestricted

No description available.

Parking is an old concept, which fundamentally involves leaving a vehicle at a place. Parking has been considered as a subsidiary activity to owning a car. However, these days owning a car has become the norm, which leads to a greater demand for parking. Unregulated parking demand often leads to increased traffic congestion, when there are not enough parking spaces to keep up with the demand. Congestion itself has a negative impact on the environment and causes safety issues. A common solution to reduce congestion have been by influencing the demand for parking spaces through parking prices. During recent years, the existing pricing strategies have not been able to keep up with the daily changes in demand. Therefore, stakeholders in the parking industry have started to shift towards working for dynamic pricing. Dynamic pricing utilizes a pricing strategy that sets the price according to the current demand and occupancy. However, the parking industry is missing a key feature to fully enable dynamic pricing. There is no communication standard in the parking industry. Thus, there is no efficient communication mean for the stakeholders to share their parking-related information (such as location, occupancy, and tariff data). This thesis has developed and proposes a protocol for sharing such parking-related information. The aim is that the protocol will be used as a communication standard in the parking industry. Due to limited time, the most focus was put on completing the protocol for tariff data. However, the developed protocol can be considered as a partial solution towards dynamic pricing. Because the protocol can still be used to properly share tariff data. Based on the evaluation, the protocol could express a variety of tariffs. The tariffs that are expressible have use cases such as early bird, residential, or on-street parking. To make integration easier, for the parking industry, the protocol includes tools to aid integrations of the protocol. A future work will be to complete the support of location and occupancy related data. Additionally, it has been discussed that the protocol will onwards be developed as open-source. / Parkering har sedan länge varit ett stort område, vilket enkelt innebär att ett fordon lämnas på en plats. Parkering har för det mesta haft ett sekundärt syfte från att äga en bil. Men eftersom antalet bilägare ökar, ökar även parkeringsbehovet. Om det inte finns tillräckligt med parkeringar för att kunna tillfredsställa behovet, leder det till en ökad trafikträngsel. Trafikträngsel skapar både miljöproblem och säkerhetsproblem. Den huvudsakliga metoden för att påverka parkeringsbehovet har varit genom att skapa lägre en efterfrågan. Efterfrågan har sänkts genom att justeringar av parkeringsavgifter. Då efterfrågan på senaste tiden har ökat markant, räcker de traditionella parkeringsavgifterna inte längre till. För att lösa problemen, har många bolag och organisationer börjat jobba mot en dynamisk prissättning. Dynamisk prissättning använder sig av en prisstrategi som sätter parkeringsavgifterna i realtid baserat på den nuvarande efterfrågan och tillgång. Däremot har parkeringsindustrin i nuläget inte de nödvändiga kommunikationskanalerna som krävs för att anta en dynamisk prissättning. Examensarbetets huvudsyfte har varit att utveckla ett protokoll som gör det möjligt att dela parkeringsrelaterade data så som: plats-, ockuperings- och tariffdata. Huvudmålet med protokollet är att det senare ska kunna bli en standard i parkeringsindustrin. På grund av tidsbegränsningar, har den största fokusen av utvecklingen lagt på stöd för tariffdata. Därmed kan inte protokollet antas som den fullständiga lösningen för dynamisk prissättning. Dock, kan protokollet ses som en delvis lösning, då det med protokollet är möjligt att korrekt dela med sig av tariffdata. Evalueringen visade att det gick, med hjälp av det utvecklade protokollet, att beskriva flera sorters tariffer utan att förlora någon viktig information. Tariffer som gick att beskriva används för bland annat: gatu-, infarts- och boendeparkeringar. Ett framtida projekt blir att utveckla och färdigställa protokollet för fullt stöd av plats- och ockuperingsdata. Ytterligare har det diskuterats om att den fortsatta utvecklingen av protokollet, ske som öppen källkod (open-source).

The productivity and competitiveness of companies fundamentally depend on their ability to handle information. With the available technology, the opportunities to collect and utilise information are better than ever. One of the industries that has proven to benefit significantly from analysing large quantities of information is the retail industry. However, before information can be analysed it has to be obtained. This often means that information has to flow between members in a supply chain. The purpose of this study was to investigate which methods that are suitable for sharing information in different contexts between suppliers and retailers. The research was conducted as a case study within the Swedish sporting goods industry, where the information sharing relationship between one supplier and seven of its customers was investigated. The studied methods for information sharing were manual document handling, web portals and through a third-party EDI service provider. The third-party EDI solution benefits both parties. However, this method is not always applicable. If resources are scarce for both communicating parties and no technological solution for information sharing is in place, the manual document handling method is a suitable short-term solution. If one party with lots of resources frequently share information with parties that cannot afford to invest in technological information sharing solutions, a portal can be a suitable compromise to let the company that invests in the portal gain efficiency benefits while the other parties continue to manually provide information. / Ett företags produktivitet och konkurrenskraft beror på dess förmåga att hantera information. Med den teknik som finns tillgänglig är möjligheterna att samla in och behandla information bättre än någonsin. En av de branscher som har visat sig ha stor nytta av att analysera stora mängder av information är detaljhandeln. Hur som helst måste informationen tas emot innan den kan analyseras. Detta innebär ofta att informationen måste flöda mellan medlemmar i en distributionskedja. Syftet med denna studie var att undersöka vilka metoder som är lämpliga för att dela information mellan leverantörer och återförsäljare. Undersökningen genomfördes som en fallstudie inom den svenska sportvaruindustrin, där informationsdelningsförhållandet mellan en leverantör och sju av dess kunder undersöktes. De studerade metoderna för informationsdelning var manuell dokumenthantering, webbportaler och genom en tredjeparts EDI-tjänst. EDI-lösningen gynnar båda parter, men är inte alltid tillämplig. Om resurserna är knappa för båda kommunicerande parter och ingen teknisk lösning för att dela information finns på plats är den manuella metoden en lämplig lösning på kort sikt. Om en part med stora resurser ofta delar information med parter som inte har möjlighet att investera i informationsdelningslösningar kan en portal vara en lämplig kompromiss. Den lösningen ger ffektivitetsvinster till företaget som investerar i portalen medan de andra parterna kan fortsätta att manuellt tillhandahålla information.

No description available.

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal.

Reconciliação é o processo de prover uma visão consistente de dados provenientes de várias fontes de dados. Embora existam na literatura trabalhos voltados à proposta de soluções de reconciliação baseadas em colaboração assíncrona, o desafio de reconciliar dados quando vários usuários colaborativos trabalham de forma assíncrona sobre as mesmas cópias locais de dados, compartilhando somente eventualmente as suas decisões de integração particulares, tem recebido menos atenção. Nesta tese de doutorado investiga-se esse desafio, por meio da proposta do modelo AcCORD (Asynchronous COllaborative data ReconcIliation moDel). AcCORD é um modelo colaborativo assíncrono para reconciliação de dados no qual as atualizações dos usuários são mantidas em um repositório de operações na forma de dados de procedência. Cada usuário tem o seu próprio repositório para armazenar a procedência e a sua própria cópia das fontes. Ou seja, quando inconsistências entre fontes importadas são detectadas, o usuário pode tomar decisões de integração para resolvê-las de maneira autônoma, e as atualizações que são executadas localmente são registradas em seu próprio repositório. As atualizações são compartilhadas entre colaboradores quando um usuário importa as operações dos repositórios dos demais usuários. Desde que diferentes usuários podem ter diferentes pontos de vista para resolver o mesmo conflito, seus repositórios podem estar inconsistentes. Assim, o modelo AcCORD também inclui a proposta de diferentes políticas de reconciliação multiusuário para resolver conflitos entre repositórios. Políticas distintas podem ser aplicadas por diferentes usuários para reconciliar as suas atualizações. Dependendo da política aplicada, a visão final das fontes importadas pode ser a mesma para todos os usuários, ou seja, um única visão global integrada, ou resultar em distintas visões locais para cada um deles. Adicionalmente, o modelo AcCORD também incorpora um método de propagação de decisões de integração, o qual tem como objetivo evitar que um usuário tome decisões inconsistentes a respeito de um mesmo conflito de dado presente em diferentes fontes, garantindo um processo de reconciliação multiusuário mais efetivo. O modelo AcCORD foi validado por meio de testes de desempenho que avaliaram as políticas propostas, e por entrevistas a usuários que avaliaram não somente as políticas propostas mas também a qualidade da reconciliação multiusuário. Os resultados obtidos demonstraram a eficiência e a eficácia do modelo proposto, além de sua flexibilidade para gerar uma visão integrada ou distintas visões locais. As entrevistas realizadas demonstraram diferentes percepções dos usuários quanto à qualidade do resultado provido pelo modelo AcCORD, incluindo aspectos relacionados à consistência, aceitabilidade, corretude, economia de tempo e satisfação. / Reconciliation is the process of providing a consistent view of the data imported from different sources. Despite some efforts reported in the literature for providing data reconciliation solutions with asynchronous collaboration, the challenge of reconciling data when multiple users work asynchronously over local copies of the same imported data has received less attention. In this thesis we investigate this challenge. We propose AcCORD, an asynchronous collaborative data reconciliation model. It stores users integration decision in logs, called repositories. Repositories keep data provenance, that is, the operations applied to the data sources that led to the current state of the data. Each user has her own repository for storing the provenance. That is, whenever inconsistencies among imported sources are detected, the user may autonomously take decisions to solve them, and integration decisions that are locally executed are registered in her repository. Integration decisions are shared among collaborators by importing each others repositories. Since users may have different points of view, repositories may also be inconsistent. Therefore, AcCORD also introduces several policies that can be applied by different users in order to solve conflicts among repositories and reconcile their integration decisions. Depending on the applied policy, the final view of the imported sources may either be the same for all users, that is, a single integrated view, or result in distinct local views for each of them. Furthermore, AcCORD encompasses a decision integration propagation method, which is aimed to avoid that a user take inconsistent decisions over the same data conflict present in different sources, thus guaranteeing a more effective reconciliation process. AcCORD was validated through performance tests that investigated the proposed policies and through users interviews that investigated not only the proposed policies but also the quality of the multiuser reconciliation. The results demonstrated the efficiency and efficacy of AcCORD, and highlighted its flexibility to generate a single integrated view or different local views. The interviews demonstrated different perceptions of the users with regard to the quality of the result provided by AcCORD, including aspects related to consistency, acceptability, correctness, time-saving and satisfaction.