Universiẗat, Diss., 2005--Bochum.

Beschrieben werden Unterstützungsmöglichkeiten bei der Entstehung von selbstverwalteten Jugendprojekten und –treffs. Es gibt konkrete Handlungsanleitungen für Bürgermeister*innen, Verwaltung, kommunalpolitische Akteur*innen und Interessierte. Anschaulich gemacht wird das durch gelungene Beispiele der Selbstverwaltung, Interviews mit Engagierten und Informationen zu gesetzlichen und versicherungsrelevanten Aspekten, sowie Handlungsanleitungen für Kommunalpolitiker*innen und Interessierte bei der Begleitung junger Menschen auf dem Wege in die Selbstverwaltung. Redaktionssschluss: September 2017

Zugl.: München, Univ., Diss., 2006

Die Einführung der Städteordnung 1808 wird den preußischen Reformern unter Stein und Hardenberg als wichtiger Schritt zur städtischen Selbstverwaltung zugerechnet. Die Bedeutung der Städteordnung ist in der Wissenschaft und Praxis unbestritten. Sie gilt als die erste Konstituierung des modernen Gemeindeverfassungsrechts. Mit der Schaffung der Stadtverordnetenversammlung und der damit verbundenen Einführung des freien Mandats der Mitglieder trug sie die Merkmale des ersten modernen „Parlaments“ in Deutschland. Die Stein’sche Städteordnung gewährte der Stadtverordnetenversammlung ein hohes Maß an Autonomie, insbesondere Budget- und Steuerbewilligungsrecht, ohne an staatliche Gesetzesnormen gebunden zu sein. Auch in Potsdam wurde im Zuge der preußischen Reformen im März 1809 erstmals eine Stadtverordnetenversammlung gewählt. Das 200jährige Jubiläum war für Wissenschaftler und Experten aus Politik und Verwaltung Anlass, verfassungsrechtliche Grundlagen, Entscheidungskompetenzen, Aufgaben und Strategien der Stadtverordnetenversammlung im Wandel der Zeit zu diskutieren.

Univ., Diss.--Heidelberg, 2004.

Univ., Diss.--Zürich, 2006.

Univ., Diss.--Trier, 2001. / Mit engl. Zsfassung.

Zugl.: Neubiberg, Universiẗat der Bundeswehr München, Diss., 2005.

With the ongoing expansion of information technology, new fields of application requiring data management emerge virtually every day. In our knowledge culture increasing amounts of data and work force organized in more creativity-oriented ways also radically change traditional fields of application and question established assumptions about data management. For instance, investigative analytics and agile software development move towards a very agile and flexible handling of data. As the primary facilitators of data management, database systems have to reflect and support these developments. However, traditional database management technology, in particular relational database systems, is built on assumptions of relatively stable application domains. The need to model all data up front in a prescriptive database schema earned relational database management systems the reputation among developers of being inflexible, dated, and cumbersome to work with. Nevertheless, relational systems still dominate the database market. They are a proven, standardized, and interoperable technology, well-known in IT departments with a work force of experienced and trained developers and administrators. This thesis aims at resolving the growing contradiction between the popularity and omnipresence of relational systems in companies and their increasingly bad reputation among developers. It adapts relational database technology towards more agility and flexibility. We envision a descriptive schema-comes-second relational database system, which is entity-oriented instead of schema-oriented; descriptive rather than prescriptive. The thesis provides four main contributions: (1)~a flexible relational data model, which frees relational data management from having a prescriptive schema; (2)~autonomous physical entity domains, which partition self-descriptive data according to their schema properties for better query performance; (3)~a freely adjustable storage engine, which allows adapting the physical data layout used to properties of the data and of the workload; and (4)~a self-managed indexing infrastructure, which autonomously collects and adapts index information under the presence of dynamic workloads and evolving schemas. The flexible relational data model is the thesis\' central contribution. It describes the functional appearance of the descriptive schema-comes-second relational database system. The other three contributions improve components in the architecture of database management systems to increase the query performance and the manageability of descriptive schema-comes-second relational database systems. We are confident that these four contributions can help paving the way to a more flexible future for relational database management technology.

With the ongoing expansion of information technology, new fields of application requiring data management emerge virtually every day. In our knowledge culture increasing amounts of data and work force organized in more creativity-oriented ways also radically change traditional fields of application and question established assumptions about data management. For instance, investigative analytics and agile software development move towards a very agile and flexible handling of data. As the primary facilitators of data management, database systems have to reflect and support these developments. However, traditional database management technology, in particular relational database systems, is built on assumptions of relatively stable application domains. The need to model all data up front in a prescriptive database schema earned relational database management systems the reputation among developers of being inflexible, dated, and cumbersome to work with. Nevertheless, relational systems still dominate the database market. They are a proven, standardized, and interoperable technology, well-known in IT departments with a work force of experienced and trained developers and administrators. This thesis aims at resolving the growing contradiction between the popularity and omnipresence of relational systems in companies and their increasingly bad reputation among developers. It adapts relational database technology towards more agility and flexibility. We envision a descriptive schema-comes-second relational database system, which is entity-oriented instead of schema-oriented; descriptive rather than prescriptive. The thesis provides four main contributions: (1)~a flexible relational data model, which frees relational data management from having a prescriptive schema; (2)~autonomous physical entity domains, which partition self-descriptive data according to their schema properties for better query performance; (3)~a freely adjustable storage engine, which allows adapting the physical data layout used to properties of the data and of the workload; and (4)~a self-managed indexing infrastructure, which autonomously collects and adapts index information under the presence of dynamic workloads and evolving schemas. The flexible relational data model is the thesis\' central contribution. It describes the functional appearance of the descriptive schema-comes-second relational database system. The other three contributions improve components in the architecture of database management systems to increase the query performance and the manageability of descriptive schema-comes-second relational database systems. We are confident that these four contributions can help paving the way to a more flexible future for relational database management technology.