First PaNOSC publication released at ICALEPCS19
In the frame of the ICALEPCS19 conference hosted by the Brookhaven National Laboratory in the beginning of October 2019, a paper has been submitted and accepted for publication:
- Enabling Open Science for Photon and Neutron Sources, A. Götz, J. Bodera Sempere, A. Campbell, A. de Maria, M. del Rio, R. Dimper, J. Kieffer, A.Solé, T. Vincent, ESRF, Grenoble, France; S. Caunt, J. Hall, J. F. Perrin, ILL, Grenoble, France; N. Carboni, A.Hafner, R. Pugliese, CERIC-ERIC, Trieste, Italy; M. Bertelsen, T. H. Rod, T. S. Richter, J. Taylor, ESS, Copenhagen, Denmark; J. C. E, H. Fangohr, C. Fortmann-Grote, T. Kluyver, R. Rosca, EuXFEL, Schenefeld, Germany; F. Gliksohn, L. Schrettner, ELI-DC, Brussels, Belgium, Proceedings of ICALEPCS2019, New York, NY, USA, 2019, DOI: doi:10.18429/JACoW-ICALEPCS2019-TUBPL02
Abstract:
Photon and Neutron sources are producing more and more petabytes of scientific data each year. At the same time scientific publishing is evolving to make scientific data part of publications. The Photon and Neutron Open Science Cloud (PaNOSC) project is an EU financed project to provide scientific data management for enabling Open Science. Data will be managed according to the FAIR principles. This means data will be curated and made available under an Open Data policy, findable, interoperable and reusable. This paper will describe how the European photon and neutron sources on the ESFRI roadmap envision PaNOSC as part of the European Open Science Cloud. The paper will present the objectives of the project on the issues of data policy, metadata, data curation, long term archiving and data sharing in the context of the latest developments in these areas.
Other ICALEPCS19 contributions from PaNOSC partners include the following:
- Poster presentation: Enabling remote HDF5 browsing and visualization on facility portals (Elettra / CERIC-ERIC)
- Poster presentation: Control and analysis software development at the European XFEL
- Presentation by Hans Fangohr (WP4 leader) from the Jupyter Tutorial: Data Exploration and Analysis with Jupyter Notebooks
- Publication: Towards specification of Tango V10
- Publication: Towards improved accessibility of Tango controls
- Publication: Control system development and integration at ELI-Alps
- Publication: Status of the Karabo control and data processing framework
- Publication: Building a Data Analysis as a Service portal
- Publication: State of the Tango controls kernel development in 2019
- Publication: Donkiorchestra: a software trigger-driven framework for data collection and experiment management based on ZeroMQ distributed messaging
