Infrastructure in the form of payment systems is a necessity to allow for payments to reach from payer to payee, but it is also subject to product differentiation between banks. In the euro countries, a domestic-integration zone termed SEPA that consolidates payment systems into a singular system has been regulated, providing market efficiencies for customers and companies. However, in Sweden, banks use unstandardized file communication that is costly for stakeholders to interface against, and is becoming increasingly difficult to oversee. With the introduction of novel payment solutions (e.g. mobile payments), there is also an increase in competitors that access the infrastructure. A rising customer demand for faster, global and integrated payments has been identified. This increased fragmentation of the market requires large investments for banks and reduces customer mobility, which motivates the need for consolidation of payment flows. The purpose of this thesis is to identify the roles of stakeholders in the clearing and settlement mechanism, and to identify the drivers and inhibitors that affect business decisions to change the systems in place. These results are categorized according to co-opetition theory. Furthermore, the thesis brings forward the global industry standard for financial messaging ISO 20022 to the business context, and discusses its implications in the Swedish market from an interoperability point of view. The study has been conducted using mixed methods with a qualitative approach. It includes: Analysis of documents and materials, non-participative observation, interviews with 9 industry experts and an in-depth case study of real-time payments in Sweden (Betalningar i Realtid). Results show that actors’ perceptions of one another are ambiguous, but cooperation is well-established and reaps many positive effects for firms. Co-opetition activities in banks are inclined to drive change, while competitive moves are likely to leave the system unchanged. Co-opetition is only possible under certain pre-agreed rules such as differentiation by implementing flexible payment solutions. The main implication for migration to an improved, standardized payment flow is connected to the governance of infrastructure. It is suggested that if agreements between stakeholders are not reached in due time then SEPA-like regulation put forward by higher instances is a likely outcome.

Digital supply chain twins (DSCT) are often considered as one of the most promising technologies to efficiently and proactively manage increasingly complex international logistics networks in the future. Despite the recognition of the potential, the concrete development of digital twins of logistics networks is still in earlier stages in practice. Most twins focus on mapping digital twins of logistics assets or sites rather than elevating the technology to a network level. Building on the Nominal Group Technique among 18 logistics managers this study seeks to investigate the requirements of successful DSCT implementation at a network level. The study shows that while there are various technological requirements that need to be created for the development, it is also DSCT-specific intra- and inter-organizational requirements that influence the successful implementation and use of DSCTs.

Elektronisch verfügbare Daten aus der Gesundheitsversorgung, sogenannte Real-World Data (RWD), gewinnen zunehmend an Bedeutung für die Forschung, insbesondere in der Pharmakovigilanz und der Arzneimittelsicherheit. Die Schaffung von kollaborativen Forschungsnetzwerken, wie beispielsweise Observational Health Data Sciences and Informatics (OHDSI) oder European Health Data and Evidence Network (EHDEN) stoßen auf positive Resonanz, um die Potenziale von RWD zu nutzen und die Reproduzierbarkeit und Verlässlichkeit von Forschungsergebnissen retrospektiver Beobachtungsstudien zu verbessern. Eine Beteiligung deutscher Universitätskliniken mit RWD der stationären Versorgung fehlt bisher, vor allem weil die qualitativen Eigenschaften der Medikationsdaten aktuell eine Hürde darstellen. In dieser Arbeit wird daher untersucht, wie die Sekundärnutzung von Medikationsdaten der klinischen Versorgung in retrospektiven Beobachtungsstudien in internationalen Forschungsgemeinschaften am Beispiel von OHDSI unter Wahrung der semantischen Bedeutung ermöglicht werden kann. Initial wird ein Scoping Review durchgeführt, um zu ermitteln, wo die Schwerpunkte der Nutzung des Datenmodells Observational Medical Outcomes Partnership (OMOP) derzeit liegen. Es werden die Anforderungen an die Daten in OMOP seitens der Forschungsgemeinschaft OHDSI ermittelt und mit dem IST-Zustand der Medikationsverordnungen am Beispiel des Universitätsklinikum Carl Gustav Carus Dresden (UKD) abgeglichen. So werden die Inhibitoren identifiziert, welche im Widerspruch zu den Anforderungen stehen. Korrektive Maßnahmen zur Reduktion der Inhibitoren werden konzipiert, umgesetzt und anschließend quantitativ und qualitativ bewertet. Zudem untersucht die Arbeit, wie eine notwendige Transparenz möglicher, verbleibender Limitierungen gewährleistet werden kann. Das durchgeführte Scoping Review zeigt eine über die vergangenen Jahre stetig zunehmende Bedeutung des Datenmodells OMOP für die Durchführung von Studien unter Verwendung von Daten aus mehreren Ländern. In Deutschland fokussiert sich die Forschung im Kontext OMOP bislang auf die Betrachtung von Trends, des Datentransfers, Mappings und der Entwicklung von Konzepten. Eine aktive Beteiligung an der Durchführung von Studien mit medizinischen Fragestellungen unter Nutzung von OMOP findet aktuell nicht statt. Zur Verwendung von Medikationsverordnungen in OMOP müssen die Daten strukturiert und unter Verwendung von internationalen Terminologien wie ATC und RxNorm vorliegen. Allerdings zeigt eine Analyse über mehrere Standorte in Deutschland, dass Medikationsverordnungen überwiegend unstrukturiert und ohne belastbare Zuordnung standardisierter, internationaler Klassifikationen dokumentiert werden. Dieses Ergebnis bestätigt sich auch bei der Untersuchung der Medikationsverordnungen des UKD der Jahre 2016 bis 2020. Die in dieser Arbeit entwickelten und durchgeführten Maßnahmen wurden abgeleitet aus der Teilnahme an einem Pilotprojekt der European Medicines Agency (EMA) und fokussieren auf der Verbesserung der Datenstruktur sowie der Überführung der Medikationsverordnungen nach RxNorm. So konnte der Grad der Klassifizierung der Medikationsverordnungen des UKD unter Verwendung der Standard-Terminologie RxNorm von initial 0% auf 66,39% erhöht werden. Des Weiteren wird durch eine interaktive Visualisierung der Datenstruktur und des Grades der Überführbarkeit von ATC Codes nach RxNorm eine Transparenz der Ergebnisse geschaffen. Die Beantwortung aller in dieser Arbeit gestellten Forschungsfragen schafft die Voraussetzung, um zukünftig an retrospektiven Beobachtungsstudien der OHDSI Forschungsgemeinschaft teilzunehmen zu können. Die semantische Bedeutung der Medikationsverordnungen, auch unter Verwendung internationaler Terminologien wie RxNorm, bleibt dabei gewahrt. Zusätzliche Transparenz kann Forschenden und Versorgenden helfen, die Datenqualität im Sinne der Strukturiertheit der Medikationsverordnungen am UKD in Zukunft bereits zum Zeitpunkt der Entstehung zu verbessern.:Zusammenfassung V Abstract VII Symbole und Abkürzungen XV 1 Einleitung 1 1.1 Motivation 1 1.2 Offene Herausforderungen 5 1.3 Ziele und Fragestellungen der Arbeit 7 1.4 Struktur der Arbeit 8 2 Hintergrund 9 2.1 Datenintegrationszentrum 9 2.2 Medizininformatik Initiative Kerndatensatz 10 2.3 OMOP Common Data Model 12 2.4 ATHENA und Standardisierte Vokabulare 14 2.5 OHDSI ETL Werkzeuge 14 2.6 OHDSI Data Quality Dashboard 15 2.7 Relevante Terminologien 17 2.7.1 Die Anatomisch-Therapeutisch-Chemische (ATC) Klassifikation 17 2.7.2 RxNorm 19 3 Materialien und Methoden 21 3.1 Material 21 3.1.1 Verwendete Daten 21 3.1.2 Datentransfer 25 3.1.3 Infrastruktur 27 3.2 Literaturrecherche 28 3.2.1 Identifikation von Publikationen 29 3.2.2 Einschluss und Ausschluss von Publikationen 29 3.2.3 Kategorisierung von Publikationen 30 3.3 Anforderungsanalyse 31 3.3.1 Anforderungen seitens des Datenmodell OMOP 32 3.3.2 Analyse Studienprotokolle von OHDSI Studien 32 3.4 Identifikation von Inhibitoren 35 3.4.1 Stichprobenanalyse von Routinedaten an MIRACUM Standorten 35 3.4.2 Systematische Analyse der Medikationsdaten am UKD 36 3.5 Maßnahmen zur Reduktion der Inhibitoren 37 3.5.1 Maßnahmen am Beispiel einer EMA Studie 38 3.5.2 Maßnahmen - Datenstruktur 40 3.5.3 Maßnahmen - Terminologie 44 3.6 Bewertung der Maßnahmen 49 3.7 Schaffung von Transparenz 52 4 Ergebnisse 55 4.1 Ergebnisse Literaturrecherche 55 4.1.1 Allgemeine Übersicht 56 4.1.2 Fachliche Themen 57 4.1.3 Zeitliche Entwicklung 60 4.1.4 Geografische Verteilung 61 4.1.5 Überblick der Publikationen deutscher Universitäten 63 4.1.6 Zusammenfassung der Ergebnisse der Literaturrecherche 68 4.2 Soll Zustand gemäß Anforderungsanalyse 68 4.2.1 Anforderungen seitens OMOP Datenmodell 69 4.2.2 Anforderungen OHDSI Netzwerkstudien 71 4.2.3 Zusammenfassung der Ergebnisse der Anforderungsanalyse 73 4.3 Identifizierte Inhibitoren 73 4.3.1 Ergebnisse der Stichprobenanalyse 73 4.3.2 Ergebnisse der systematischen Analyse 75 4.3.3 Zusammenfassung der identifizierten Inhibitoren 76 4.4 Ergebnisse der Reduktionsmaßnahmen 76 4.4.1 Ergebnisse der Maßnahmen am Beispiel einer EMA Studie 77 4.4.2 Ergebnisse der Maßnahmen - Datenstruktur 79 4.4.3 Ergebnisse der Maßnahmen - Terminologie 88 4.4.4 Zusammenfassung der Ergebnisse der Maßnahmen 95 4.5 Ergebnisse der Bewertung 95 4.5.1 Ergebnisse der qualitativen Bewertung 95 4.5.2 Ergebnisse der quantitativen Bewertung 97 4.5.3 Zusammenfassung der Ergebnisse der Bewertung 99 4.6 Ergebnisse zur Transparenz 100 4.6.1 Transparenz Datenstruktur 101 4.6.2 Transparenz Terminologie 102 4.6.3 Zusammenfassung der Ergebnisse zur Transparenz 104 5 Diskussion 105 5.1 Allgemein 105 5.2 Stärken 110 5.3 Limitierungen 114 5.4 Ausblick 116 Literaturverzeichnis 138 Abbildungsverzeichnis 140 Tabellenverzeichnis 142 A Anhang: Quellcode Readme 143 B Anhang: drug-exposure Tabelle - Wiki Dokumentation 149 C Anhang: Studienprotokoll EMA Studie 151 D Anhang: Medikationsverordnungen ATC Codes Strukturiertheit 163 E Anhang: ATC-GM Vokabular 181 F Screenshots DQD Dashboard 183 Erklärung zur Eröffnung des Promotionsverfahrens 185 Bestätigung über Einhaltung der aktuellen gesetzlichen Vorgaben 189

Electronic Health Record (EHR) creates a huge number of databases which are being updated dynamically. Major goal of interoperability in healthcare is to facilitate the seamless exchange of healthcare related data and an environment to supports interoperability and secure transfer of data. The health care organisations face difficulties in exchanging patient’s health care information and laboratory reports etc. due to a lack of semantic interoperability. Hence, there is a need of semantic web technologies for addressing healthcare interoperability problems by enabling various healthcare standards from various healthcare entities (doctors, clinics, hospitals etc.) to exchange data and its semantics which can be understood by both machines and humans. Thus, a framework with a similarity analyser has been proposed in the thesis that dealt with semantic interoperability. While dealing with semantic interoperability, another consideration was the use of word embedding and ontology for knowledge discovery. In medical domain, the main challenge for medical information extraction system is to find the required information by considering explicit and implicit clinical context with high degree of precision and accuracy. For semantic similarity of medical text at different levels (conceptual, sentence and document level), different methods and techniques have been widely presented, but I made sure that the semantic content of a text that is presented includes the correct meaning of words and sentences. A comparative analysis of approaches included ontology followed by word embedding or vice-versa have been applied to explore the methodology to define which approach gives better results for gaining higher semantic similarity. Selecting the Kidney Cancer dataset as a use case, I concluded that both approaches work better in different circumstances. However, the approach in which ontology is followed by word embedding to enrich data first has shown better results. Apart from enriching the EHR, extracting relevant information is also challenging. To solve this challenge, the concept of analogy has been applied to explain similarities between two different contents as analogies play a significant role in understanding new concepts. The concept of analogy helps healthcare professionals to communicate with patients effectively and help them understand their disease and treatment. So, I utilised analogies in this thesis to support the extraction of relevant information from the medical text. Since accessing EHR has been challenging, tweets text is used as an alternative for EHR as social media has appeared as a relevant data source in recent years. An algorithm has been proposed to analyse medical tweets based on analogous words. The results have been used to validate the proposed methods. Two experts from medical domain have given their views on the proposed methods in comparison with the similar method named as SemDeep. The quantitative and qualitative results have shown that the proposed analogy-based method bring diversity and are helpful in analysing the specific disease or in text classification.

Smart home is a topic that emerged in the 90s to improve the quality of human life. The evolutions of ambient intelligence, recent technology advancements, internet, and smart devices have had a large impact in smart home environment. In the traditional smart home environment, devices are connected physically in the environment and there are interoperability issues between the devices, because the environment is heterogeneous and the devices do not allow to communicate with the outside world such as the internet.In this master thesis we propose a conceptual design of a platform for better home entertainment experience. Smart phone, smart TV and a personal computer are the most important devices in this platform design. The platform provides a high degree of interaction and integration among devices within the environment. The proposed platform model helps software architects and engineers to have an early involvement in the design process. We proposed the platform to be implemented with the help of hybrid cloud computing model. Our suggested platform design is able to overcome the deficiencies of the previous models and approaches in this domain. We conducted direct interviews with seven computer science teachers at Malmö University for the evaluation of our platform design. The results show that the platform design can be physically implemented with the specified devices, the clouds are better than the traditional approaches and hybrid cloud model is more acceptable in terms of security and economy. We encourage software architects, developers and project supervisors to adopt this proposed platform model in physical smart home environment.

As of the 7th of March 2024, Sweden has become a member of the North Atlantic Treaty Organisation, NATO. Interoperability between the two organizations will be essential to ensure a high level of cooperation in future multinational land operations. The study will be conducted on NATO doctrine: Allied Joint Doctrine for the Conduct of Operations, and the Swedish Armed Forces army doctrine: Reglemente Armé - Taktik 2023. The aim of this study is to show the level of organizational and technical interoperability between the two doctrines through the theory of Levels of Coalition Interoperability (LCI). By comparing the two doctrines to each other we find that the Swedish army and NATO are similar in many descriptions of methods and principles, mostly since the Swedish army has chosen to adept many parts of their doctrine towards NATO. However, NATO do show a lot of flexibility and adaptability towards partner nations, giving the two doctrines a high level of interoperability. The doctrines differ in description of methods for data exchange at a physical level and gives room for commanders to interpret certain aspects of the doctrines, which shows that there can be developments made to increase the interoperability, mainly in the area of adaptation of standardized methods.

The need for interoperability in emergency communication systems has hastened the development of cognitive radio technology. However, even though a cognitive radio system technically interconnects participating agencies, interoperability depends not only on technical matters but also organizational issues related to the different individuals, working contexts and types of cooperative work involved. In order to support public safety workers such as police, firefighters, and Emergency Medical Service (EMS) providers appropriately, it is vital to consider the dynamics of the way they interact in any collaborative situation. The purpose of this study is to develop an in-depth understanding of interoperability and construct a new model based on this understanding, along with a working model of an interoperable communication system to serve as a design framework that (1) supports effective public safety communication and (2) incorporates cognitive radio capabilities to ensure optimal semantic interoperability. An adequate model for interoperability must include multiple dimensions to explain both the concept of interoperability in the public safety domain and its relationships with task characteristics and information needs. This model focuses primarily on the requirements for communication systems. The value perspective reflects the evaluation criteria for effective team communication such as semantic interoperability, task routineness, and information processing aspects. The design framework incorporates the proposed model into Work Domain Analysis (WDA). To achieve these research objectives, a series of studies was conducted. The first was a qualitative exploratory study that identified how the concept of interoperability is manifested in the public safety work domain. Through the use of semi-structured interviews, communication patterns in terms of interoperability were placed in a real world context. The responses from the participants were categorized in terms of the dimensions of interoperability and reinterpreted using sensemaking as a theoretical framework. The dimensions of interoperability identified consisted of information sharedness, communication readiness, operational awareness, adaptiveness, and coupledness. Based on these findings, a new instrument was proposed to measure interoperability for communication systems. This instrument was then statistically validated. The second study identified the effects of different types of operation and types of organization on interoperability, as well as investigating the relationships among interoperability, task routineness and information processing using Structural Equation Modeling (SEM). Based on this understanding and theoretical perspective, a new interoperable communication structure was delineated in the model. A prototype of a public safety cognitive radio communication system was then developed based on the proposed framework and examined using a focus group in order to validate the proposed model and design framework and highlight any usability issues that may affect the prototype's operational effectiveness. / Ph. D.

By analyzing the last years of software development evolution, it is possible to observe that the involved technologies are increasingly focused on the definition of models for the specification of the intended software products. This model-centric development schema is the main ingredient for the Model-Driven Development (MDD) paradigm. In general terms, the MDD approaches propose the automatic generation of software products by means of the transformation of the defined models into the final program code. This transformation process is also known as model compilation process. Thus, MDD is oriented to reduce (or even eliminate) the hand-made programming, which is an error-prone and time-consuming task. Hence, models become the main actors of the MDD processes: the models are the new programming code. In this context, the interoperability can be considered a natural trend for the future of model-driven technologies, where different modeling approaches, tools, and standards can be integrated and coordinated to reduce the implementation and learning time of MDD solutions as well as to improve the quality of the final software products. However, there is a lack of approaches that provide a suitable solution to support the interoperability in MDD processes. Moreover, the proposals that define an interoperability framework for MDD processes are still in a theoretical space and are not aligned with current standards, interoperability approaches, and technologies. Thus, the main objective of this doctoral thesis is to develop an approach to achieve the interoperability in MDD processes. This interoperability approach is based on current metamodeling standards, modeling language customization mechanisms, and model-to-model transformation technologies. To achieve this objective, novel approaches have been defined to improve the integration of modeling languages, to obtain a suitable interchange of modeling information, and to perform automatic interoperability verification. / Giachetti Herrera, GA. (2011). Supporting Automatic Interoperability in Model-Driven Development Processes [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/11108

While the discourse regarding European strategic autonomy has been ongoing for decades, progress in achieving it have been impeded by both opposition and an overhanging element of ambiguity from some participating countries. As transparency is vital in any international cooperation, this thesis will aim to provide this by analyzing the discourse of one ambiguous country, Sweden, and compare it to that of the concept’s main proponent, France. This with the purpose of allowing the discourse of a more militarized EU progress. The analysis indicates vast differences in domestic conditions, external relations and historical background which keeps Sweden from openly declaring its stance on strategic autonomy, as opposed to France. This study contributes with a framework adaptable to any country relevant within the discourse on European strategic autonomy, and thus allows for better mutual understanding between the opposing sides of opinion.

[ES] Esta tesis presenta un análisis profundo y soluciones innovadoras para los retos abordados en la Investigación Criminal (IC) y la Gestión de Emergencias (GE), con un enfoque particular en la colaboración interagencial y el manejo de datos en entornos complejos. La investigación comienza estableciendo la relevancia de una colaboración eficaz entre diversas agencias para el manejo efectivo de la información en la era digital, especialmente en el contexto de la IC y la GE. Se destaca cómo la proliferación del contenido digital y la generación masiva de datos han transformado estos campos, presentando tanto oportunidades como desafíos significativos. La tesis revisa exhaustivamente el estado del arte en estas áreas, identificando las principales limitaciones y posibilidades de desarrollo. Se analizan aspectos críticos como la gestión de la información, las tecnologías de Big Data (BD), la respuesta rápida en emergencias, la interoperabilidad y la colaboración entre agencias, y los desafíos tecnológicos en sistemas complejos. Asimismo, se exploran cuestiones como la gestión de datos heterogéneos, la escasez de recursos y formación y los desafíos asociados al volumen y complejidad de los datos. Respondiendo a estos desafíos, se propone una arquitectura innovadora que aborda la eficiencia e interoperabilidad de los sistemas actuales en la prevención y resolución de crímenes y en la GE. Esta arquitectura se adapta específicamente a las necesidades de los usuarios finales de los proyectos MAGNETO y ASSISTANCE, incorporando de manera eficiente diferentes componentes de software y empleando tecnologías como RMI, SOAP, REST, y JMS. Se enfatiza la transición hacia arquitecturas basadas en microservicios, utilizando un API Gateway para mejorar la modularidad y la escalabilidad. La aplicabilidad de esta arquitectura se demuestra en los proyectos MAGNETO y ASSISTANCE, donde se abordan retos específicos. MAGNETO, enfocado en la lucha contra el crimen, integra y analiza datos de diversas fuentes, mientras que ASSISTANCE se centra en la mejora de la Situational Awareness (SA) de los First Responders (FR) mediante la integración de tecnologías avanzadas como UAVs, robots, y sistemas de realidad virtual y aumentada. Ambos proyectos demuestran una mejora significativa en la colaboración interagencial y la efectividad en situaciones de emergencia y lucha contra el crimen. Finalmente, la tesis concluye con una reflexión sobre los logros obtenidos y plantea posibles áreas de investigación para el futuro. Se sugiere expandir la aplicación de la arquitectura a otros contextos, abordando barreras como la del idioma en la interoperabilidad y explorando la integración de tecnologías emergentes como la realidad aumentada y el IoT. Se pone el énfasis en la necesidad de continuar mejorando las capacidades de respuesta ante emergencias y la lucha contra el crimen en la era digital. La tesis representa un avance significativo en estos campos, proporcionando soluciones tecnológicas avanzadas y abriendo caminos para futuras investigaciones y desarrollos. / [CA] Aquesta tesi presenta una anàlisi profunda i solucions innovadores per als reptes abordats en la Investigació Criminal (IC) i la Gestió d'Emergències (GE), amb un enfocament particular en la col·laboració interagencial i la gestió de dades en entorns complexos. La investigació comença establint la rellevància d'una col·laboració eficaç entre diverses agències per al maneig efectiu de la informació en l'era digital, especialment en el context de la IC i la GE. Es destaca com la proliferació del contingut digital i la generació massiva de dades han transformat aquests camps, presentant tant oportunitats com desafiaments significatius. La tesi revisa exhaustivament l'estat de l'art en aquests camps, identificant les principals limitacions i oportunitats per a millores. S'analitzen aspectes crítics com la gestió de la informació, les tecnologies de Big Data (BD), la resposta ràpida en emergències, la interoperabilitat i la col·laboració entre agències, i els desafiaments tecnològics en sistemes complexos. També s'examinen problemes com la gestió de dades heterogènies, l'escassetat de recursos i capacitació, i els desafiaments associats amb el volum i complexitat de les dades. Responent a aquests desafiaments, es proposa una arquitectura innovadora que aborda l'eficiència i interoperabilitat dels sistemes actuals en la prevenció i resolució de crims i en la GE. Aquesta arquitectura s'adapta específicament a les necessitats dels usuaris finals dels projectes MAGNETO i ASSISTANCE, integrant eficaçment components de software diversos i utilitzant tecnologies com RMI, SOAP, REST, i JMS. S'emfatitza la transició cap a arquitectures basades en microserveis, utilitzant un API Gateway per a millorar la modularitat i l'escalabilitat. L'aplicabilitat d'aquesta arquitectura es demostra en els projectes MAGNETO i ASSISTANCE, on s'aborden reptes específics. MAGNETO, enfocat en la lluita contra el crim, integra i analitza dades de diverses fonts, mentre que ASSISTANCE es centra en la millora de la Situational Awareness (SA) dels First Responders (FR) mitjançant la integració de tecnologies avançades com UAVs, robots, i sistemes de realitat virtual i augmentada. Ambdós projectes demostren una millora significativa en la col·laboració interagencial i l'efectivitat en situacions d'emergència i lluita contra el crim. Finalment, la tesi conclou amb una reflexió sobre els assoliments obtinguts i proposa futures línies d'investigació. Es suggereix expandir l'aplicació de l'arquitectura a altres contextos, abordant barreres com la de l'idioma en la interoperabilitat i explorant la integració de tecnologies emergents com la realitat augmentada i l'IoT. S'emfatitza la necessitat de continuar millorant les capacitats de resposta davant emergències i la lluita contra el crim en l'era digital. La tesi representa un avanç significatiu en aquests camps, proporcionant solucions tecnològiques avançades i obrint camins per a futures investigacions i desenvolupaments. / [EN] This thesis presents an in-depth analysis and innovative solutions to the challenges faced in Criminal Investigation (CI) and Emergency Management (EM), with a particular focus on interagency collaboration and data management in complex environments. The research begins by establishing the importance of effective collaboration between various agencies for efficient information management in the digital age, especially in the context of CI and EM. It highlights how the proliferation of digital content and massive data generation have transformed these fields, presenting both opportunities and significant challenges. The thesis thoroughly reviews the state of the art in these fields, identifying major limitations and opportunities for improvements. Critical aspects such as information management, Big Data (BD) technologies, rapid response in emergencies, interoperability, and collaboration between agencies, and technological challenges in complex systems are analyzed. Issues such as the management of heterogeneous data, resource scarcity and training, and challenges associated with data volume and complexity are also examined. In response to these challenges, an innovative architecture is proposed that addresses the efficiency and interoperability of current systems in crime prevention and resolution and in EM. This architecture is specifically tailored to the end-user needs of the MAGNETO and ASSISTANCE projects, efficiently integrating various software components and utilizing technologies such as RMI, SOAP, REST, and JMS. The transition to architectures based on microservices is emphasized, using an API Gateway to improve modularity and scalability. The applicability of this architecture is demonstrated in the MAGNETO and ASSISTANCE projects, where specific challenges are addressed. MAGNETO, focused on combating crime, integrates and analyzes data from various sources, while ASSISTANCE focuses on improving the Situational Awareness (SA) of First Responders (FR) through the integration of advanced technologies such as UAVs, robots, and virtual and augmented reality systems. Both projects demonstrate significant improvements in interagency collaboration and effectiveness in emergencies and crime fighting. Finally, the thesis concludes with a reflection on the achievements obtained and proposes future lines of research. It suggests expanding the application of the architecture to other contexts, addressing barriers such as language in interoperability, and exploring the integration of emerging technologies like augmented reality and IoT. The need to continue improving response capabilities in emergencies and combating crime in the digital age is emphasized. The thesis represents a significant advancement in these fields, providing advanced technological solutions and paving the way for future research and developments. / Garrido Peñalver, VJ. (2024). Arquitectura de interoperabilidad para mejorar las capacidades de análisis de información y toma de decisiones [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/204259