Data Intensive Computing and Data Life Cycle

Research data are accumulated in almost every scientific disciplin. Data are generated, need to be saved and processed, are changed, are used by other researchers or need to be archived. Thus, Data Life Cycle Management (DLCM) is looking for strategies, methods and tools to deal with the data over their entire life cycle. ZIH is not only offering services for DLCM but is also developing new concetps, strategies and tools for DLCM.
Current research topics at ZIH are:

• Analysis of data and compute workflows
• Stratesgies and methods for data handling over their entire life cycle
• Metadata to manage and to recover data
• Tools and services for DLCM

Today, research is based on the collaboration of scientists across institutional, political, geographical and disciplinary borders.  IT infrastructures supporting a collaborative and distributed management of the research data as well as the knowledge created from the data are required.
Current research topics at ZIH are:

• Mangement of data, metadata and knowledge
• Distributed infrastructures for (meta) data storage
• Data workflows
• Integration of data infrastrucutres into the users research environment
• Science gateways

The processing of large data sets requires efficient storage infrastructures. ZIH has started to build up expertise in this domain in 2004 with its application for a new High Performance Computer and Storage Complex (HRSK). The initial focus was on the development of analysis methods for parallel file systems. Currently, ZIH investigates methods and develops tools to analyse the behaviour of I/O intensive applications on high performance computers and to optimize storage infrastructures.
Current research topics at ZIH are:

• Analysis of storage infrastructures and applications
• Design of innovative storage architectures
• Operation of storage systems and user support

• ADA-FS -  Advanced Data Placement via Ad-hoc File Systems at Extreme Scales
• 100Gbit/s Testbed Dresden-Freiberg
• Dataheap - Embeding external performance data in program traces
• D-Grid Integrationsprojekt 1
• D-Grid Integrationsprojekt 2
• EMI: European Middleware Initiative
• EMuDIG 4.0 - Efficiency boost in forgin through the development and integration of digital technologies in the engineering process of the entire value-added chain
• EXPLOIDS - Detection and disclosure of IT security incidents with a novel attack detection system
• GeRDi - Generic Research Data Infrastructure
• LSDMA - Large-Scale Data Management and Analysis
• MASi - Metadata Management for Applied Sciences
• MoSGrid: Molecular Simulation Grid

• OpARA: Open Access Repository – Digital preservation and publication of research data

• Radieschen: Rahmenbedingungen einer disziplinübergreifenden Forschungsdateninfrastruktur
• SIOX: Scalable I/O for Extreme Performance
• Transatlantisches 10 Gbit/s Testbed Dresden-Indiana(USA)
• WisNetGrid: Wissensnetzwerke im Grid

• VAVID - Comparative Analysis of Engineering Measurements and Simulation Data