Thursday 25th September 2014

Time Dynamic Data SESSION

Dynamic Data, a special case?

By Daan Broeder, TLA MPI-PL

Daan Broeder, for many years senior developer for archive and infrastructure solutions and now deputy director of TLA unit of the MPI for Psycholinguistics, is technologist (electronics and IT) and has a long record  in leading development tasks in international projects. Currently he is a member of the executive board of the  Dutch CLARIN project and participating several EU projects concerned with research infrastructure development as DASISH and EUDAT.

In addition he is convener of new ISO standards in the linguistic domain (TC37/SC4: Component Metadata Infrastructure "CMD" and persistent identification "PISA"). 


Handling Dynamic Data from Sensors

by  Peter Danecek, INGV

Dr. Peter Danecek studied geophysics in Munich (Germany), Prague (Czech Republic), Trieste and Bologna (Italy). In 2004, he obtained the title "Diplom Geophysiker" (equivalent master degree) at Ludwig-Maximilians-Universität (LMU), Munich and in 2008 his "Dottore di Ricerca" (PhD equivalent) at University of Bologna. He worked at the Istituto Nazionale di Oceanografia e Geofisica Sperimentale (OGS), Trieste, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Bologna, and Instituto Andaluz de Geofísica of University of Granada, Spain and currently holds a research position at INGV, Rome. He was actively involved into various European projects, e.g. SPICE, QUEST, TRANSFER, NERIES, national projects, e.g. SEGUIDEC, or regional projects. Peter started his research in the domain of computational seismology and with the development and evaluation of new three-dimensional numerical methods for elastic wave propagation problems. Later his interest extended -- stimulated by collaborations within the SPICE network -- to the application of these methods to realistic seismological problems in complex regional settings on various scales. This general interest in combining observational seismology data and classical methods with sophisticated numerical 3D methods to model wave propagation in laterally varying Earth structure, led to innovative approaches for the interpretation of regional broadband seismograms by exploiting more of valuable information encoded in seismograms. Currently, Peter focuses on the development of new approaches and the implementation of infrastructure to facilitate massive data analysis of seismological and geophysical data. 


Dynamic Data in the Humanities - the Nederlab example

by Marc Kemps-Snijders, Meertens Institute

Marc Kemps-Snijders is Head Technical Development at the Meertens Institute. The Meertens Institute is a research institute studying and documenting the diversity in language and culture in the Netherlands. It has been established in 1926, has been a research institute of the Royal Netherlands Academy of Arts and Sciences (KNAW) since 1952. The Technical Development group maintains a large number of publically accessible knowledge bases and is actively involved in areas such as crowd sourcing, data management and archiving systems, research infrastructures and virtual research environments. Projects include CLARIN-NL, Nederlab and the forthcoming CLARIAH project.

12.00 - 12.30 Discussion


Attachment Size
DaanBroeder_1.pdf (888.86 KB) 888.86 KB
PeterDanecek.pdf (9.67 MB) 9.67 MB
MarcKempsSnijders.pdf (1.22 MB) 1.22 MB