The global perspective on digital revolution is one that has received a rapturous approval from information professionals, scholars and practitioners. However, such an approval has come at a great cost to memory institutions as the preservation of digital information has proved to be a complex phenomenon to memory institutions. Guided by the multi method design and underpinned by the triangulation of questionnaires, interviews, observation and document analysis, the study examined digital preservation of e-government in Ghana. Findings revealed that the creation of databases, digital publication, emails, website information and tweets were often ocassioned by the use of ICT, e-government, and application of legislations and public policies. It observed that these types of digital records were in urgent need for preservation as most of the ministries and agencies were unable to access their digital records. While the application of a digital preservation tool (Lots of Copies Keeps Stuff Safe) was a familiar terrain to the ministries and agencies, there was expressed lack of awareness about digital preservation support organisations and digital preservation standards. The study identified funding, level of security and privacy, skills training and technological obsolescence as factors that pose key threats to digital preservation. It noted backup strategy, migration, metadata and trusted repositories as the most widely implemented preservation strategy across the ministries and agencies. On the other hand, cloud computing, refreshing and emulation were the least implemented preservation strategies used to address the digital preservation challenges . The study recommends that the ministries and agencies can address many of the digital preservation challenges if they leverage on collaborative and participatory opportunities. Such collaborative and participatory opportunities involve the use of experts from other institutions to share resources and use a common protocol through cloud computing and Open Data. It further recommends that the process of developing a digital preservation policy can be guided by a template document from other jurisdictions / Information Science / D. Litt et Phil. (Information Science)

This thesis deals with an issue of indirect taxes evasion and analyzes how to fight them. The aim of this piece of work is to provide basic insight into the issue of indirect tax evasion and also to describe and evaluate some of the latest tools used in the fight against them. I have no intention to analyze the topic in detail as the possibility to do so is limited by the extent of the diploma thesis. The thesis itself is divided into three parts. In the introductory part, a term tax is defined and a system of indirect taxes is briefly described. Moreover, specific indirect taxes in the Czech Republic are defined with the respect to their legal construction and regulation. To demonstrate the importance of indirect taxes, the first chapter of the thesis covers also information about the revenue of each indirect tax for the state budget. The second chapter deals with theoretical background of the taxes evasion issue and ways of their realisation. Firstly, the term tax evasion is defined as a technical term and then it is compared to tax optimisation as described. To make the theoretical picture complete, psychological and economical aspects of the issue are mentioned as models describing factors influencing origin of tax evasions. Another part of the thesis is focused on ways of realisation of tax...

The aim of this term project is to study web technologies for developing information systems, requirements analysis, a system design for selling goods which supports sales recording to electronic records of sales and stock recording. It also offers the customer portal for bills handover and customer support by a ticket system. The system design is based on already developed cash register and in comparison with it will be a more advanced and far more universal solution. The application is built on commonly available and free technologies, such as PHP 7.1 with Nette framework, CSS framework Bootstrap and jQuery. Very useful function of cash is the product suggester which is based on the Apriori algorithm. The suggester suggests products based on items from the actual opened bill and analysed receipts with previously purchased items. The complete solution will then be released to the public as an opensource, which does not exist yet.

Der Tagungsband beschäftigt sich mit den aus den neuen Technologien erwachsenden Anforderungen an die Archive. Er fasst mehrere Aufsätze zusammen, die sich aus unterschiedlichen Perspektiven mit diesen Herausforderungen beschäftigen. Das Eingangsreferat von Norbert Becker wertet eine Umfrage zu Erwartungen der Benutzer im Hinblick auf die modernen Medien und Informationstechnologien aus. Kerstin Arnold stellt das Projekt zur Schaffung eines Archivportals für die Bundesrepublik Deutschland vor. In zwei weiteren Beiträgen werden konkrete Digitalisierungsprojekte bzw. –strategien vorgestellt. Susanne Knoblich, Berlin, stellt einen Werkstattbericht zur Übernahme von elektronischen Unterlagen in das Landesarchiv Berlin vor. Abgerundet wird der Band durch einen Beitrag von Kerstin Orantek zu den Problemen des Datenschutzes in einer digitalisierten Welt.:Stephan Luther: Einleitung 7 Norbert Becker: Perspektiven, Benutzererwartungen und neue Aufgaben der Archive zu Beginn des 21. Jahrhunderts. Ergebnisse einer Benutzerumfrage 11 Kerstin Arnold: Auf dem Weg zum Archivportal Deutschland. Die Referenzanwendung aus dem DFG-Projekt zum „Ausbau des Netzwerks SED-/FDGB-Archivgut“ 37 Marek Ďurčanský: Die tschechischen Spezialarchive und die Digitalisierung 53 Matthias Röschner: Auf dem Weg ins Internet – Digitalisierungsprojekte im Archiv 65 Susanne Knoblich: Übernahme und Archivierung elektronischer Unterlagen durch das Landesarchiv Berlin – Ein Werkstattbericht 83 Kerstin Orantek: Probleme des Datenschutzes in einer digitalisierten Welt – Neue Anforderungen für Archive? 91 / The proceedings of the conference are concerned with the requirements for archives arising due to new technologies. It comprises several papers addressing these challenges from different perspectives. The opening address by Norbert Becker evaluates a survey on user expectations concerning modern media and information technologies. Kerstin Arnold describes a project to create the archive portal of the Federal Republic of Germany. In two other contributions, specific digitisation projects or strategies are discussed. Susanne Knoblich from Berlin presents a working report on the transfer of electronic documents for the National Archives of Berlin. Kerstin Orantek completes the volume with a contribution on the problem of data protection in a digital world.:Stephan Luther: Einleitung 7 Norbert Becker: Perspektiven, Benutzererwartungen und neue Aufgaben der Archive zu Beginn des 21. Jahrhunderts. Ergebnisse einer Benutzerumfrage 11 Kerstin Arnold: Auf dem Weg zum Archivportal Deutschland. Die Referenzanwendung aus dem DFG-Projekt zum „Ausbau des Netzwerks SED-/FDGB-Archivgut“ 37 Marek Ďurčanský: Die tschechischen Spezialarchive und die Digitalisierung 53 Matthias Röschner: Auf dem Weg ins Internet – Digitalisierungsprojekte im Archiv 65 Susanne Knoblich: Übernahme und Archivierung elektronischer Unterlagen durch das Landesarchiv Berlin – Ein Werkstattbericht 83 Kerstin Orantek: Probleme des Datenschutzes in einer digitalisierten Welt – Neue Anforderungen für Archive? 91

Les employés d’un organisme utilisent souvent un schéma de classification personnel pour organiser les documents électroniques qui sont sous leur contrôle direct, ce qui suggère la difficulté pour d’autres employés de repérer ces documents et la perte possible de documentation pour l’organisme. Aucune étude empirique n’a été menée à ce jour afin de vérifier dans quelle mesure les schémas de classification personnels permettent, ou même facilitent, le repérage des documents électroniques par des tiers, dans le cadre d’un travail collaboratif par exemple, ou lorsqu’il s’agit de reconstituer un dossier. Le premier objectif de notre recherche était de décrire les caractéristiques de schémas de classification personnels utilisés pour organiser et classer des documents administratifs électroniques. Le deuxième objectif consistait à vérifier, dans un environnement contrôlé, les différences sur le plan de l’efficacité du repérage de documents électroniques qui sont fonction du schéma de classification utilisé. Nous voulions vérifier s’il était possible de repérer un document avec la même efficacité, quel que soit le schéma de classification utilisé pour ce faire. Une collecte de données en deux étapes fut réalisée pour atteindre ces objectifs. Nous avons d’abord identifié les caractéristiques structurelles, logiques et sémantiques de 21 schémas de classification utilisés par des employés de l’Université de Montréal pour organiser et classer les documents électroniques qui sont sous leur contrôle direct. Par la suite, nous avons comparé, à partir d'une expérimentation contrôlée, la capacité d’un groupe de 70 répondants à repérer des documents électroniques à l’aide de cinq schémas de classification ayant des caractéristiques structurelles, logiques et sémantiques variées. Trois variables ont été utilisées pour mesurer l’efficacité du repérage : la proportion de documents repérés, le temps moyen requis (en secondes) pour repérer les documents et la proportion de documents repérés dès le premier essai. Les résultats révèlent plusieurs caractéristiques structurelles, logiques et sémantiques communes à une majorité de schémas de classification personnels : macro-structure étendue, structure peu profonde, complexe et déséquilibrée, regroupement par thème, ordre alphabétique des classes, etc. Les résultats des tests d’analyse de la variance révèlent des différences significatives sur le plan de l’efficacité du repérage de documents électroniques qui sont fonction des caractéristiques structurelles, logiques et sémantiques du schéma de classification utilisé. Un schéma de classification caractérisé par une macro-structure peu étendue et une logique basée partiellement sur une division par classes d’activités augmente la probabilité de repérer plus rapidement les documents. Au plan sémantique, une dénomination explicite des classes (par exemple, par utilisation de définitions ou en évitant acronymes et abréviations) augmente la probabilité de succès au repérage. Enfin, un schéma de classification caractérisé par une macro-structure peu étendue, une logique basée partiellement sur une division par classes d’activités et une sémantique qui utilise peu d’abréviations augmente la probabilité de repérer les documents dès le premier essai. / The employees of an organization often use a personal classification scheme to organize electronic documents residing on their own workstations. As this may make it hard for other employees to retrieve these documents, there is a risk for the organization of losing track of needed documentation. To this day, no empirical study has been conducted to verify whether personal classification schemes allow, or even facilitate the retrieval of documents created and classed by someone else, in collaborative work, for example, or when it becomes necessary to reconstruct a “dossier”. The first objective of our research was to describe the characteristics of personal classification schemes used to organize and classify administrative electronic documents. Our second objective was to verify, in a controlled environment, differences as to retrieval effectiveness which would be linked to the characteristics of classification schemes. More precisely, we wanted to verify if it was possible to find a document with the same effectiveness, whatever the classification scheme used. Two types of data collection were necessary to reach those objectives. We first identified the structural, logical and semantic characteristics of 21 classification schemes used by Université de Montréal employees to organize and classify electronic documents residing on their own workstations. We then compared, in a controlled experimentation, the capacity of 70 participants to find electronic documents with the help of five classification schemes exhibiting variations in their structural, logical and semantic characteristics. Three variables were used to measure retrieval effectiveness : the number of documents found, the average time needed (in seconds) to locate the documents and the number of documents found on the first try. Results revealed many structural, logical and semantic characteristics common to a majority of personal classification schemes : extended macro-structures, shallow, complex and unbalanced structures, thematic grouping, alphabetical order of classes, etc. An analysis of variance revealed significant differences as to retrieval effectiveness that are related to the structural, logical and semantic characteristics of the classification scheme. A classification scheme characterized by a narrow macro-structure and a logic based on classes of activities increases the probability of finding documents more rapidly. On the semantic level, more explicit denominations of classes (for example, by using definitions or avoiding acronyms and abbreviations) increases the probability of success in finding documents. Finally, a classification scheme characterized by a narrow macro-structure, a logic based on classes of activities, and a semantic that uses few abbreviations minimizes the risk of error and failure in retrieval.

Indiana University-Purdue University Indianapolis (IUPUI) / There has been vast and growing amount of healthcare data especially with the rapid adoption of electronic health records (EHRs) as a result of the HITECH act of 2009. It is estimated that around 80% of the clinical information resides in the unstructured narrative of an EHR. Recently, natural language processing (NLP) techniques have offered opportunities to extract information from unstructured clinical texts needed for various clinical applications. A popular method for enabling secondary uses of EHRs is information or concept extraction, a subtask of NLP that seeks to locate and classify elements within text based on the context. Extraction of clinical concepts without considering the context has many complications, including inaccurate diagnosis of patients and contamination of study cohorts. Identifying the negation status and whether a clinical concept belongs to patients or his family members are two of the challenges faced in context detection. A negation algorithm called Dependency Parser Negation (DEEPEN) has been developed in this research study by taking into account the dependency relationship between negation words and concepts within a sentence using the Stanford Dependency Parser. The study results demonstrate that DEEPEN, can reduce the number of incorrect negation assignment for patients with positive findings, and therefore improve the identification of patients with the target clinical findings in EHRs. Additionally, an NLP system consisting of section segmentation and relation discovery was developed to identify patients' family history. To assess the generalizability of the negation and family history algorithm, data from a different clinical institution was used in both algorithm evaluations.

Indiana University-Purdue University Indianapolis (IUPUI) / As medical data continues to transition to electronic formats, opportunities arise for researchers to use this microdata to discover patterns and increase knowledge that can improve patient care. Now more than ever, it is critical to protect the identities of the patients contained in these databases. Even after removing obvious “identifier” attributes, such as social security numbers or first and last names, that clearly identify a specific person, it is possible to join “quasi-identifier” attributes from two or more publicly available databases to identify individuals. K-anonymity is an approach that has been used to ensure that no one individual can be distinguished within a group of at least k individuals. However, the majority of the proposed approaches implementing k-anonymity have focused on improving the efficiency of algorithms implementing k-anonymity; less emphasis has been put towards ensuring the “utility” of anonymized data from a researchers’ perspective. We propose a new data utility measurement, called the research value (RV), which extends existing utility measurements by employing data constraints rules that are designed to improve the effectiveness of queries against the anonymized data. To anonymize a given raw dataset, two algorithms are proposed that use predefined generalizations provided by the data content expert and their corresponding research values to assess an attribute’s data utility as it is generalizing the data to ensure k-anonymity. In addition, an automated algorithm is presented that uses clustering and the RV to anonymize the dataset. All of the proposed algorithms scale efficiently when the number of attributes in a dataset is large.

The purpose of this study was to investigate the implementation of Enterprise Content Management (ECM) system at Western Cape Government (WCG), South Africa. The study evaluated the state of the implementation in order to establish whether the system met information and records management requirements and objectives. A probability sampling was used on a total population of 51 respondents and participants. The data were triangulated using multi-methods, whereby both qualitative and quantitative approaches were adopted in a sequential manner. A structured online survey questionnaire, online interviews, and document analysis were used to collect data, which were descriptively analysed. The study revealed that although the WCG has embarked on digitisation projects, which culminated in the department-wide implementation of ECM, the system was not evaluated regularly and consistently. This resulted in an inability to capture the lessons learnt – as well as a failure to realise the full benefits of implementing the system. The findings also showed that ECM implementation at WCG encountered some challenges – for example, inadequate training provided to staff, lack of adequate technology infrastructure, and poor technical support with regard to systems for managing digital records – that impacted on the system’s efficiency. Some of the recommendations of the study are that WCG should consider conducting regular ECM reviews to determine whether the system performs as required in terms of bringing about expected benefits, such as easy retrieval of digitally stored content. Departments should also ensure that there is an alignment among various digital applications for the purpose of creating a single enterprise platform that promotes collaboration and knowledge sharing. A study of ECM implementation in other provinces would enable a comparison of how the system performs elsewhere, including how it could be used as a viable option for organisations to promote digitisation. / Information Science / M. Inf. (Information Science)

Bibliography: pages 184-207 / Digital records are either stored in an enterprise resource planning (ERP) system or electronic content management (ECM), or managed without the benefit of either system. In many countries, public and private organisations have implemented ECM systems, some have implemented ERP systems and others generate digital records without the benefit of any controlled system. In most organisations such systems are not integrated resulting in duplication and fragmentation of records. The South African Water Utility company, Rand Water, has implemented both ERP and ECM systems. Investing in these systems as an organisation comes at a cost but it can add value when used optimally to improve the organisation’s productivity and efficiency. To achieve high productivity and efficiency, integration of an ERP system into an ECM system is a requirement but remains lacking. This qualitative study utilised the Actor Network Theory to explore the integration of ERP into ECM at the South African Water Utility company, Rand Water, with a view to developing a framework for integration of the systems. The study utilised a system analysis case design with fourteen interviews conducted at different levels in the organisation and diverse business units using ERP and ECM to perform their operational deliverables in line with the organisation’s business objectives. The interviews were augmented with data from document analysis of policies, specifications and functionalities of the systems to determine the feasibility of integration. The study established that the water utility company has implemented ERP systems (SAP) since 1994 and ECM system since 1991 (Papertrail and later IBM FileNet) with only information flow module integrated. The study suggested that to integrate ERP into ECM, human and non-human actors need to collaborate to ensure that the actor network being integrated is achieved. The study also presents a strategy discussion for integrating ERP into ECM. A further study on the transfer of digital records in ECM into archival custody is recommended. / Information Science / D. Phil. (Information Science)

Indiana University-Purdue University Indianapolis (IUPUI) / Reducing medical error remains in the forefront of healthcare reform. The use of health information technology, specifically the electronic health record (EHR) is one attempt to improve patient safety. The implementation of the EHR in the Emergency Department changes physician workflow, which can have negative, unintended consequences for patient safety. Inaccuracies in clinical documentation can contribute, for example, to medical error during transitions of care. In this quasi-experimental comparison study, we sought to determine whether there is a difference in document quality, error rate, error type, cognitive load and time when Emergency Medicine (EM) residents use paper charts versus the EHR to complete physician documentation of clinical encounters. Simulated patient encounters provided a unique and innovative environment to evaluate EM physician documentation. Analysis focused on examining documentation quality and real-time observation of the simulated encounter. Results demonstrate no change in document quality, no change in cognitive load, and no change in error rate between electronic and paper charts. There was a 46% increase in the time required to complete the charting task when using the EHR. Physician workflow changes from partial documentation during the patient encounter with paper charts to complete documentation after the encounter with electronic charts. Documentation quality overall was poor with an average of 36% of required elements missing which did not improve during residency training. The extra time required for the charting task using the EHR potentially increases patient waiting times as well as clinician dissatisfaction and burnout, yet it has little impact on the quality of physician documentation. Better strategies and support for documentation are needed as providers adopt and use EHR systems to change the practice of medicine.