We propose a scaleable multi-user benchmark called XMach-1 (XML Data Management benchmark) for evaluating the performance of XML data management systems. It is based on a web application and considers different types of XML data, in particular text documents, schema-less data and structured data. We specify the structure of the benchmark database and the generation of its contents. Furthermore, we define a mix of XML queries and update operations for which system performance is determined. The primary performance metric, Xqps, measures the query throughput of a system under response time constraints. We will use XMach-1 to evaluate both native XML data management systems and XML-enabled relational DBMS.

We present a new approach for accelerating the execution of XPath expressions using parameterized materialized XPath views (PXV). While the approach is generic we show how it can be utilized in an XML extension for relational database systems. Furthermore we discuss an algorithm for automatically determining the best PXV candidates to materialize based on a given workload. We evaluate our approach and show the superiority of our cost based algorithm for determining PXV candidates over frequent pattern based algorithms.

Background: Medical school curricula are constantly evolving and change has potential positive and negative effects. At East Tennessee State University Quillen College of Medicine, a broader understanding of the effects of a curriculum change (reduction in clerkship length for one transitional year) was explored. Methods: A broad, system-wide evaluation was used to evaluate impacts on all stakeholders. Curriculum management data, including qualitative and quantitative data and short-term and follow-up perspectives of stakeholders, were used for evaluation. Results: Students evaluated the change positively. Academic performance in the transitional year was similar to the prior year. Differences in students’ clerkship evaluations were not statistically significant. Clerkship directors were concerned that students’ clinical experience suffered and noted that implementing changes was time consuming but recognized the benefits for students. Administrators dedicated a significant amount of time to planning the transitional year; however, the additional weeks at the beginning of fourth year made the scheduling process easier. Conclusion: This article demonstrates an overall positive result with this tool for curriculum change but also indicates the impacts differed across stakeholders. Knowledge gained from this experience can help other schools successfully anticipate challenges and prepare for a variety of outcomes in implementing necessary curriculum change.

Background. The right to privacy is every persons right, data regulation laws suchas the GDPR and privacy preserving concepts like Privacy by Design (PbD) aid inthis matter. IoT devices are highly vulnerable to attacks because of their limitedstorage and processing capabilities, even more so for internet connected cameras.With the use of security auditing techniques and privacy analysis methods it ispossible to identify security and privacy issues for Internet of Things (IoT) devices. Objectives. The research aims to evaluate three selected IoT cameras’ ability toprotect privacy of their consumers. As well as investigating the role GDPR and PbDhas in the design and operation of each device. Methods. A literature review was performed in order to gain valuable knowledgeof how to design a case study that would evaluate privacy issues of IoT devices incorrelation with GDPR and PbD. The case study consists of 14 cases designed toexplore security and privacy related issues. They were executed in a monitored andcontrolled network environment to detect data flow between devices. Results. There was a noticeable difference in the security and privacy enhancingtechnologies used between some manufactures. Furthermore, there was a distinctdisparity of how transparent each system was with the processed data, which is acrucial part of both GDPR and PbD. Conclusions. All three companies had taken GDPR and PbD into considerationin the design on the IoT systems, however to different extents. One of the IoTmanufactures could benefit from incorporating PbD more thoroughly into the designand operation of their product. Also the GDPR could benefit from having referencesto security standards and frameworks in order simplify the process for companies tosecure their systems.

Submitted to the faculty of the School of Informatics in partial fulfillment of the requirements for the degree Master of Science in Chemical Informatics (Laboratory Informatics Specialization), Indiana University, June 2006 / Industry and academic laboratories have long resisted conversion to electronic laboratory notebooks (ELN) while at the same time integrating many other kinds of information systems, most notably laboratory information management systems (LIMS), chromatography data systems (CDS), and scientific data management systems (SDMS), within laboratory operations. Scientists in both academia and industry stand to gain important functionality unavailable with paper notebooks with the adoption of ELNs such as comprehensive searching of notebooks (keyword, result, and molecular structure/substructure searching, for example); distributed availability; and long term access to data. Currently, most laboratory information systems operate independently, requiring manual data entry by users into each individual system. This process creates data and information disparities as well as creating poor referential integrity within experimental metadata. Electronic laboratory notebooks would provide a logical point around which experiment details and observations could be centered electronically. Through an ELN, experimental documentation or metadata could be communicated automatically with a LIMS, SDMS, or CDS without analyst involvement. This “electronically connected” system would allow analysts to perform their responsibilities without the interruption of independent information systems thus increasing analyst productivity and reducing user entry errors into data management systems. The thesis project consisted of two phases: the first phase was the implementation of an ELN and the second phase was the development of a software developer kit (SDK) for LABTrack based on Web Services. In the first phase of the project the adoption of an ELN, was studied within a classroom laboratory (G823 Introduction to Cell Biology) over the course of one academic semester. In the second phase of the project an SDK for LABTrack was developed to allow the importation of information from custom developed applications into LABTrack. Finally, a web portal integrating LABTrack and NuGenesis was developed to demonstrate the capabilities of the LABTrack SDK and existing capabilities of the NuGenesis SDK.

Big data är ett relativt nytt begrepp men fenomenet har funnits länge. Det går att beskriva utifrån fem V:n; volume, veracity, variety, velocity och value. Analysen av Big Data har kommit att visa sig värdefull för organisationer i arbetet med beslutsfattande, generering av mätbara ekonomiska fördelar och förbättra verksamheten. Inom idrottsbranschen började detta på allvar användas i början av 2000-talet i baseballorganisationen Oakland Athletics. Man började värva spelare baserat på deras statistik istället för hur bra scouterna bedömde deras förmåga vilket gav stora framgångar. Detta ledde till att fler organisationer tog efter och det har inte dröjt länge innan Big Data-analys används i alla stora sporter för att vinna fördelar gentemot konkurrenter. I svensk kontext så är användningen av dessa verktyg fortfarande relativt ny och mångaorganisationer har möjligtvis gått för fort fram i implementeringen av dessa verktyg. Dennastudie syftar till att undersöka fotbollsorganisationers arbete när det gäller deras Big Dataanalys kopplat till organisationens spelare utifrån en fallanalys. Resultatet visar att båda organisationerna skapar värde ur sina investeringar som de har nytta av i arbetet med att nå sina strategiska mål. Detta gör organisationerna på olika sätt. Vilket sätt som är mest effektivt utifrån värdeskapande går inte att svara på utifrån denna studie.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / Microfinance has undergone a great growth in the last years, bringing consequently the significant increase of the data of the transactions and daily operations, manual processes of cleaning, complexity in IT projects and, in comparison with the traditional bank, a less amount of resources. For this reason, the model must allow the master data to have maintenance processes that reduce manual cleaning activities and contribute to the implementation of technology projects in an agile manner. On the other hand, the research seeks to combine a basic pillar such as Master Data Management (MDM) for the analysis of information with the lean approach, already used in the industry for the operational cost and additionally an evaluation measure prior to this process obtaining the state of the capabilities in the organization. In this way, the result will be that the organization can be previously evaluated and quickly identify which points should be improved to achieve the implementation of MDM initiatives. Likewise, within the research it is concluded that the Peruvian microfinance sector is prepared for the implementation of master data management with a 'proactive' maturity level of 3.46 points.

This study aimed to develop a proof of concept Knowledge Management System (KMS) for Agua y Saneamientos Argentinos (AySA), an Argentinean water and sanitation firm. Key areas of investigation encompassed data management, knowledge sharing, talent retention, and operational efficacy challenges faced by AySA. Following Tiwana's KMS development roadmap, the study analyzed infrastructure, understood AySA's predicaments, identified key stakeholders, aligned KMS with business strategy, designed the infrastructure, and conducted rigorous testing. Qualitative methods, including interviews and observations, were employed to gather insights from AySA employees across multiple departments. These insights shed light on goals, water treatment and climate change challenges, as well as the importance of effective data management and talent retention. The collected data informed the system requirements for the KMS, emphasizing integration, customization, and HR integration. Web-based prototypes were developed based on interviews and AySA's website, incorporating a data lake concept. User-centered testing involving 13 participants evaluated functionality and potential benefits for management and daily workload. The study concludes that a well-designed KMS addressing AySA's objectives is vital, promoting innovation and talent retention. Recommendations for implementation are provided, highlighting its potential to enhance decision-making, streamline processes, and improve organizational performance. / Syftet med denna studie var att utveckla ett Knowledge Management System (KMS) för Agua y Saneamientos Argentinos (AySA), ett argentinskt vatten- och sanitetsföretag. Viktiga områden som undersöktes var datahantering, kunskapsdelning, att talangbevarande och de utmaningar som AySA står inför när det gäller operativ effektivitet. Studien följde Tiwanas färdplan för KMS-utveckling och analyserade infrastrukturen, AySAs problem, identifierade viktiga intressenter, anpassade KMS till affärsstrategin, utformade infrastrukturen och genomförde omfattande tester. Kvalitativa metoder, inklusive intervjuer och observationer, användes för att samla in insikter från AySA-anställda på flera avdelningar. Dessa insikter belyste mål, vattenrening och utmaningar med klimatförändringar, samt vikten av effektiv datahantering och att behålla talanger. De insamlade uppgifterna låg till grund för systemkraven för ett KMS, med betoning på integration, anpassning och HR-integration. Webbaserade prototyper utvecklades baserat på intervjuer och AySAs webbplats, med ett koncept för en datasjö. Användarcentrerad testning med 13 deltagare utvärderade funktionalitet och potentiella fördelar för ledningen och den dagliga arbetsbelastningen. Studien drar slutsatsen att ett väl utformat KMS som uppfyller AySAs mål är avgörande för att främja innovation och behålla talanger. Rekommendationer för implementering ges, vilket belyser potentialen att förbättra beslutsfattandet, effektivisera processer och förbättra organisationens prestation.

Product development companies are continually seeking methods to increase efficiency while maintaining quality. Distributed development is also more important than ever before as industries globalize. These forces have driven firms to adopt formal data management practices that allow groups and individuals to work from singular, centralized data source that are secure, reliable, and support collaboration. This thesis proposes a methodology to leverage globalized infrastructures for the efficient storage of product variations. The methodology is proved through a working prototype using the market leader in Product Lifecycle Management (PLM) systems, Teamcenter Engineering. First, paradigms are set forth for the storage of various types of engineering documents in PLM systems in parametric formats. Then the use of these paradigms is exemplified by various programs retrieving and storing document variations in the form of PLM metadata. Finally, the results show that this methodology produces drastic increases in system performance as well as the enabling of PLM-compatible automation and optimization. The impacts of these findings have significant implications for industry and has generated interest from several global engineering firms and academic journals.