Getting Started with Islandora

Workshop at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Advanced Islandora Workshop

Workshop at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Islandora Archipelago: Update on the Project & Community

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Linked Open Data and Islandora

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Markkinointikampanjoiden ja -aineistojen työnkulun automatisointi

Markkinointi on liikevoittoa tavoitteleville yrityksille yksi tärkeimmistä asioista. Sen avulla yritykset voivat houkutella asiakkaita ostamaan tuotetta tai/ja palvelua. Jotta yritykset onnistuisivat markkinoinnissa nyt ja jatkossakin, on niiden kehitettävä jatkuvasti markkinointiprosessiaan. Markkinointiprosessit ovat digitalisoituneet tietoyhteiskuntien kehittyessä yhä enenevässä määrin. Markkinointikampanjoihin liittyvien digitaalisten aineistojen määrän kasvaessa niiden hallinta on tullut hankalammaksi. Hallintaongelmien ratkaisuksi on kehitetty tietojärjestelmiä, joiden avulla pystyy hallitsemaan suurempia määriä aineistoja. Tässä diplomityössä tutustutaan markkinointikampanjoiden ja -aineistojen työnkulkuprosessiin. Tapauskohtaisessa työssä tavoitteena oli toteuttaa jo olemassa olevan digitaalisten aineistojenhallintajärjestelmän rinnalle uusi järjestelmä, jonka avulla pyrittiin tehostamaan prosessia. Markkinointikampanjoita varten uuteen järjestelmään tehtiin projektinhallintatoiminnallisuuksia. Markkinointiaineistojen kommentointia ja hyväksyntää varten työssä tutustuttiin kahteen aineistojen kommentointi- ja hyväksyntäjärjestelmään. Ne integroitiin alustavasti osaksi järjestelmää, minkä jälkeen niitä testattiin ja arvioitiin. Paremmin käyttötarkoituksiin sopiva järjestelmä otettiin lopullisesti käyttöön. Tässä diplomityössä raportoiduista tuloksista on hyötyä vastaavien järjestelmien suunnittelussa.

Limitaciones y obstáculos de MINUSTAH en materia de cooperación humanitaria y desarrollo en Haití (2000-2014)

Este estudio de caso pretende analizar las limitaciones y obstáculos a los que la misión de estabilización, MINUSTAH, se ha enfrentado en el proceso de reconstrucción de Haití antes, durante y después del terremoto de 2010. Además, busca identificar los elementos que han hecho de MINUSTAH una misión cuyo objetivo inicial de carácter político y estabilización se orientó hacia la asistencia humanitaria a causa de una catástrofe natural tal como el terremoto de 2010. En esta medida y bajo el marco de cooperación internacional para el desarrollo, este estudio de caso avanza por un proceso evaluativo del papel de MINUSTAH en la consolidación del Estado haitiano.

Evaluating digital marketing content management strategies in an international company.

The purpose of this thesis is to explore a different kind of digital content management model and to propose a process in order to manage properly the content on an organization’s website. This process also defines briefly the roles and responsibilities of the different actors implicated. In order to create this process, the thesis has been divided into two parts. First, the theoretical analysis helps to find the two main different content management models, content management adaptation and content management localization model. Each of these models, have been analyzed through a SWOT model in order to identify their particularities and which of them is the best option according to particular organizational objectives. In the empirical part, this thesis has measured the organizational website performance comparing two main data. On one hand, the international website is analyzed in order to identify the results of the content management standardization. On the other hand, content management adaptation, also called content management localization model, is analyzed by looking through the key measure of the Dutch page from the same organization. The resulted output is a process model for localization as well as recommendations on how to proceed when creating a digital content management strategy. However, more research is recommended to provide more comprehensive managerial solutions.

Digital Conversion and Media Reformatting: Management and Production of Digital Collections

The Digital Conversion and Media Reformatting plan was written in 2012 and revised 2013-2014, as a five-year plan for the newly established department at the University of Maryland Libraries under the Digital Systems and Stewardship Division. The plan focuses on increasing digitization production, both in-house and through vendors, and creates a model for the management of this production.

A study on reducing digital piracy: an analytical network process approach with benefits, opportunities, costs and risks analysis

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

Luto digital: plataformas para a gestão da herança digital

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Artificial-Intelligence-Based Optimization of the Management of Snow Removal Assets and Resources Final Report, October 2002

Geographic information systems (GIS) and artificial intelligence (AI) techniques were used to develop an intelligent snow removal asset management system (SRAMS). The system has been evaluated through a case study examining snow removal from the roads in Black Hawk County, Iowa, for which the Iowa Department of Transportation (Iowa DOT) is responsible. The SRAMS is comprised of an expert system that contains the logical rules and expertise of the Iowa DOT’s snow removal experts in Black Hawk County, and a geographic information system to access and manage road data. The system is implemented on a mid-range PC by integrating MapObjects 2.1 (a GIS package), Visual Rule Studio 2.2 (an AI shell), and Visual Basic 6.0 (a programming tool). The system could efficiently be used to generate prioritized snowplowing routes in visual format, to optimize the allocation of assets for plowing, and to track materials (e.g., salt and sand). A test of the system reveals an improvement in snowplowing time by 1.9 percent for moderate snowfall and 9.7 percent for snowstorm conditions over the current manual system.

Interoperability of learning objects copyright in the LUISA semantic learning management system

Semantic Web technology is able to provide the required computational semantics for interoperability of learning resources across different Learning Management Systems (LMS) and Learning Object Repositories (LOR). The EU research project LUISA (Learning Content Management System Using Innovative Semantic Web Services Architecture) addresses the development of a reference semantic architecture for the major challenges in the search, interchange and delivery of learning objects in a service-oriented context. One of the key issues, highlighted in this paper, is Digital Rights Management (DRM) interoperability. A Semantic Web approach to copyright management has been followed, which places a Copyright Ontology as the key component for interoperability among existing DRM systems and other licensing schemes like Creative Commons. Moreover, Semantic Web tools like reasoners, rule engines and semantic queries facilitate the implementation of an interoperable copyright management component in the LUISA architecture.

The Design of a Software Lifecycle Management Framework to a Configuration Management System

Keeping track of software assets and managing software installations in IT environments can be a hard endeavor, especially when the size and diversity of the environment grows. How to install and uninstall software efficiently and cost effectively? Are there too few or too many software licenses purchased? If installed, is the software actually in use? Software Asset Management (SAM) is a process that involves managing and optimizing the purchase, deployment, maintenance, utilization, and disposal of software applications within an organization. This master’s thesis describes a special Software Lifecycle Management Framework to provide solutions to the multitude of challenges within SAM. The main objectives when designing the framework was to provide a set of tools to control the software assets during their entire lifecycle while trying to minimize the costs related to owning and managing them.

Centralized IT management using SCCM in a large multinational company

Microsoft System Center Configuration Manager is a systems management product for managing large groups of computers and/or mobile devices. It provides operating system deployment, software distribution, patch management, hardware & software inventory, remote control and many other features for the managed clients. This thesis focuses on researching whether this product is suitable for large, international organization with no previous, centralized solution for managing all such networked devices and detecting areas, where the system can be altered to achieve a more optimal management product from the company’s perspective. The results showed that the system is suitable for such organization if properly configured and clear and transparent line of communication between key IT personnel exists.

PERFORMANCE ANALYSIS OF A TACTICAL ASSET ALLOCATION – Evidence from the Black–Litterman model based fixed income portfolio

Over time the demand for quantitative portfolio management has increased among financial institutions but there is still a lack of practical tools. In 2008 EDHEC Risk and Asset Management Research Centre conducted a survey of European investment practices. It revealed that the majority of asset or fund management companies, pension funds and institutional investors do not use more sophisticated models to compensate the flaws of the Markowitz mean-variance portfolio optimization. Furthermore, tactical asset allocation managers employ a variety of methods to estimate return and risk of assets, but also need sophisticated portfolio management models to outperform their benchmarks. Recent development in portfolio management suggests that new innovations are slowly gaining ground, but still need to be studied carefully. This thesis tries to provide a practical tactical asset allocation (TAA) application to the Black–Litterman (B–L) approach and unbiased evaluation of B–L models’ qualities. Mean-variance framework, issues related to asset allocation decisions and return forecasting are examined carefully to uncover issues effecting active portfolio management. European fixed income data is employed in an empirical study that tries to reveal whether a B–L model based TAA portfolio is able outperform its strategic benchmark. The tactical asset allocation utilizes Vector Autoregressive (VAR) model to create return forecasts from lagged values of asset classes as well as economic variables. Sample data (31.12.1999–31.12.2012) is divided into two. In-sample data is used for calibrating a strategic portfolio and the out-of-sample period is for testing the tactical portfolio against the strategic benchmark. Results show that B–L model based tactical asset allocation outperforms the benchmark portfolio in terms of risk-adjusted return and mean excess return. The VAR-model is able to pick up the change in investor sentiment and the B–L model adjusts portfolio weights in a controlled manner. TAA portfolio shows promise especially in moderately shifting allocation to more risky assets while market is turning bullish, but without overweighting investments with high beta. Based on findings in thesis, Black–Litterman model offers a good platform for active asset managers to quantify their views on investments and implement their strategies. B–L model shows potential and offers interesting research avenues. However, success of tactical asset allocation is still highly dependent on the quality of input estimates.