| Title | Device-Driven Metadata Management Solutions for Scientific Big Data Use Cases |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Grunzke, R, Hesser, J, Starek, J, Kepper, N, Gesing, S, Hardt, M, Hartmann, V, Kindermann, S, Potthoff, J, Hausmann, M, Muller-Pfefferkorn, R, Jakel, R |
| Conference Name | 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing |
| Publisher | IEEE |
| ISBN Number | 978-1-4799-2729-6 |
| Keywords | advanced processing capability, analysis capability, Apache Lucene, Apache Solr, Biology, biology computing, Communities, D, data analysis, data analysis requirements, data life cycles, data rates, data set organization, data volume, Detectors, device-driven metadata management solutions, DICOM, handling capability, innovative R&, Light Microscopy, LSDMA project, meta data, Metadata Management, Microscopy, NeXus-ICAT, OAI-PMH, OME, open archive initiative-protocol-for-metadata harv, open microscopy environment, optical microscopy, Photon Science, Photonics, research and development, Scientific Big Data, scientific big data use cases, Standards, XML |
| URL | http://ieeexplore.ieee.org/articleDetails.jsp?arnumber=6787293 |
| DOI | 10.1109/PDP.2014.119 |
| Citation Key | Grunzke2014 |
