Open access is one of the important leverages for long-term data preservation for a HEP experiment. To guarantee the usability of data analysis tools beyond the experiment lifetime it is crucial that third party users from the scientific community have access to the data and associated software. The ALICE Collaboration has developed a layer of lightweight components built on top of virtualization technology to hide the complexity and details of the experiment-specific software. Users can perform basic analysis tasks within CernVM, a lightweight generic virtual machine, paired with an ALICE specific contextualization. Once the virtual machine is launched, a graphical user interface is automatically started without any additional configuration. This interface allows downloading the base ALICE analysis software and running a set of ALICE analysis modules. Currently the available tools include fully documented tutorials for ALICE analysis, such as the measurement of strange particle production or the nuclear modification factor in Pb-Pb collisions. The interface can be easily extended to include an arbitrary number of additional analysis modules. We present the current status of the tools used by ALICE through the CERN open access portal, and the plans for future extensions of this system.
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The amount of open data available for hydrology research is continually growing. In the EU-funded project SWITCH-ON (Sharing Water-related Information to Tackle Changes in the Hydrosphere - for Operational Needs: www.water-switch-on.eu), we are addressing water concerns by exploring and exploiting the untapped potential of these new open data. This work is enabled by many ongoing efforts to facilitate the use of open data. For instance, a number of portals provide the means to search for open data sets and open spatial data services (such as the GEOSS Portal, INSPIRE community geoportal or various Climate Services and public portals). However, in general, many research groups in water sciences still hesitate in using this open data. We therefore examined some limiting factors. Factors that limit usability of a dataset include: (1) accessibility, (2) understandability and (3) licences. In the SWITCH-ON project we have developed a search tool for finding and accessing data with relevance to water science in Europe, as the existing ones are not addressing data needs in water sciences specifically. The tool is filled with some 9000 sets of metadata and each one is linked to water related key-words. The keywords are based on the ones developed within the CUAHSI community in USA, but extended with non-hydrosphere topics, additional subclasses and only showing keywords actually having data. Access to data sets: 78% of the data is directly accessible, while the rest is either available after registration and request, or through a web client for visualisation but without direct download. However, several data sets were found to be inaccessible due to server downtime, incorrect links or problems with the host database management system. One possible explanation for this could be that many datasets have been assembled by research project that no longer are funded. Hence, their server infrastructure would be less maintained compared to large-scale operational services
The amount of open data available for hydrology research is continually growing. In the EU-funded project SWITCH-ON (Sharing Water-related Information to Tackle Changes in the Hydrosphere - for Operational Needs), we are addressing water concerns by exploring and exploiting the untapped potential of these new open data. This work is enabled by many ongoing efforts to facilitate the use of open data. For instance, a number of portals (such as the GEOSS Portal and the INSPIRE community geoportal) provide the means to search for such open data sets and open spatial data services. However, in general, the systematic use of available open data is still fairly uncommon in hydrology research. Factors that limits (re)usability of a data set include: (1) accessibility, (2) understandability and (3) licences. If you cannot access the data set, you cannot use if for research. If you cannot understand the data set you cannot use it for research. Finally, if you are not permitted to use the data, you cannot use it for research. Early on in the project, we sent out a questionnaire to our research partners (SMHI, Universita di Bologna, University of Bristol, Technische Universiteit Delft and Technische Universitaet Wien) to find out what data sets they were planning to use in their experiments. The result was a comprehensive list of useful open data sets. Later, this list of data sets was extended with additional information on data sets for planned commercial water-information products and services. With the list of 50 common data sets as a starting point, we reviewed issues related to access, understandability and licence conditions. Regarding access to data sets, a majority of data sets were available through direct internet download via some well-known transfer protocol such as ftp or http. However, several data sets were found to be inaccessible due to server downtime, incorrect links or problems with the host database management system. One possible explanation for this
Atmospheric Infrared Sounder (AIRS) Near-Real Time (NRT) data from the Land Atmosphere Near real time Capability for EOS (LANCE) provide the information on the global and regional atmospheric state with very low latency. An open and interoperable platform is useful to facilitate access to and integration of LANCE AIRS NRT data. This paper discusses the use of open-source software components to build Web services for publishing and accessing AIRS NRT data in the context of Service Oriented Architecture (SOA). The AIRS NRT data have also been made available through an OPeNDAP server. OPeNDAP allows several open-source netCDF-based tools such as Integrated Data Viewer, Ferret and Panoply to directly display the Level 2 data over the network. To enable users to locate swath data files in the OPeNDAP server that lie within a certain geographical area, graphical "granule maps" are being added to show the outline of each file on a map of the Earth. The metadata of AIRS NRT data and services is then explored to implement information advertisement and discovery in catalogue systems. Datacasting, an RSS-based technology for accessing Earth Science data and information to facilitate the subscriptions to AIRS NRT data availability, filtering, downloading and viewing data, is also discussed. To provide an easy entry point to AIRS NRT data and services, a Web portal designed for customized data downloading and visualization is introduced.
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