Analysis of a heterogeneous network infrastructure to implement cross-system monitoring for all component classes with economic and legal aspects in mind

Diese Arbeit befasst sich mit der Implementierung einer systemübergreifenden Monitoring Lösung und beschreibt einige Grundlagen sowie alle wichtigen Schritte von der Analyse bis hin zur Kaufentscheidung. Dabei werden einige Lösungen vorgestellt und zu beachtende Gesetze aufgezeigt

Just pain, no gain?: Data management systems and biodiversity data

Scientists often see research data management as a burden. At first glance, it appears as yet another task with lots of effort and no apparent benefits. In fact, proper research data management provides many benefits and is important for biodiversity research projects. It is a key factor for their success and for the long-term impact of the research. Data management systems provide established informatics standards such as online access, versioning, and backup. Other features support scientists to organize, document, and verify their data according to accuracy and validity. Such system offers functionalities for data search, access control and traceability. This allows a collaborative, all-time available and trustable teamwork. Beside it, more and more funding agencies and publishers ask for accessible and reproducible data with a guarantee of long-term availability. In addition, stakeholders and the community request data access. Data management system curated data is ready to be published and cited. We believe that, in order to truly support researchers and ensure that they can reap the benefits of their efforts, data management platforms are needed that deal with the entire data lifecycle. We have developed the data management system “Biodiversity Exploratories Information System”. It acts as a platform to support researchers of the Priority Program “Biodiversity Exploratories” of the German Science Foundation (DFG). It guaranties data curation and enables data interchange and reuse since nearly 10 years. The system is also the foundation of the BEXIS2 data management platform. With our poster, we show the role of a data management system as a service to researchers and projects. We illustrate the benefits of such a system inside the whole life cycle of data seen from researcher and project perspective

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1.

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field