Markus Schröder

Establishing ethical and privacy protection aspects in scientific research, especially in medical research, has a long history. Medical data are usually more sensible than other personal data and require therefore an even higher degree of protection than other personal data. In recent research projects genetic evaluations become more and more important and trigger thereby new and continuing activities in the context of data protection. Genetic data as a subset of medical data are the most sensible category of personal data and require therefore the highest degree of data protection. The book provides a systematic and itemized approach to data protection in clinical research including the handling of genetic material, genetic samples as well as derived genetic data and the subsequent secure storage of them. The set up of different kinds of clinical trials having in addition a genetic part, the concept of a genetic informed consent as well as collection schemes of samples are described in detail. Technical requirements and aspects of data protection including pseudonymization and anonymization procedures taking into account ethics committees requirements as well as the underlying legal framework are also presented. Without any exception, all principles and methods presented are best practices, repeatedly applied in different clinical environments and by no means theoretical considerations.

Das Lehrwerk wendet sich an Schüler/innen, die die allgemeine Hochschulreife mit einem technischen Schwerpunkt erwerben möchten. Es behandelt alle wesentlichen Inhalte der Analysis, Linearen Algebra und Stochastik. Die mathematischen Inhalte orientieren sich überwiegend an technischen Problemstellungen. Fachbezogene Begriffe und Vorgänge werden so erläutert, dass auch Lernende ohne größere Vorkenntnisse die anwendungsbezogenen Aufgaben lösen können. Dabei setzt das Lehrwerk konsequent die Forderung der modernen Didaktik um, fachübergreifende Inhalte verständlich und handlungsorientiert zu mathematisieren. Weitere Pluspunkte - Ausführliche Beispiele als Ausgangspunkt für selbstständiges Lernen - Zahlreiche Übungsaufgaben, um das Gelernte zu festigen, zu vertiefen und auf andere Problemstellungen zu übertragen - Abschlusstest mit Lösungen - zur Selbstkontrolle und Prüfungsvorbereitung - Ein Kapitel zum Thema "Einsatz eines Computer-Algebra-Systems (CAS)"

Establishing ethical and privacy protection aspects in scientific research, especially in medical research, has a long history. Medical data are usually more sensible than other personal data and require therefore an even higher degree of protection than other personal data. In recent research projects genetic evaluations become more and more important and trigger thereby new and continuing activities in the context of data protection. Genetic data as a subset of medical data are the most sensible category of personal data and require therefore the highest degree of data protection. The book provides a systematic and itemized approach to data protection in clinical research including the handling of genetic material, genetic samples as well as derived genetic data and the subsequent secure storage of them. The set up of different kinds of clinical trials having in addition a genetic part, the concept of a genetic informed consent as well as collection schemes of samples are described in detail. Technical requirements and aspects of data protection including pseudonymization and anonymization procedures taking into account ethics committees requirements as well as the underlying legal framework are also presented. Without any exception, all principles and methods presented are best practices, repeatedly applied in different clinical environments and by no means theoretical considerations.