ALBERT

Description: DASHBOARD.awi.de is a component of our data flow framework designed to enable a semi-automated flow of sensor observations to archives (acronym O2A). The dramatic increase in the number and type of platforms and respective sensors operated by Alfred Wegener Institute along with complex project-driven requirements in terms of satellite communication, sensor monitoring, quality control and validation, processing pipelines, visualization, and archival under FAIR principles, led us to build a generic and cost-effective data flow framework. Most important, all components and services which make up this framework are extensible and exchangeble, were built using open access technologies (e.g. elastic search) and vocabularies (SeaVox NERC 2.0 vocabulary) and are compliant with various interoperability standards recommended by the international community. In this poster we illustrate the DASHBOARD.awi.de component which is a web-based monitoring environment for supporting scientists in the graphing, mapping and simple analysis of time series. With a set of fit-for-purpose widgets including data download, scientists are able to identify gaps and outliers in the streamed data. Morover, we are in the process of building alerting solutions for individual parameters using the parameter properties available from SENSOR.awi.de (e.g. min/max parameter range). The streaming services attached to this component are using the near real-time data transfered from remote field sites to local databases and storage systems. For this sake, we are participating in the RDA "Array Database Assessment" Working Group and "Big Data" Interest Group. The graphing solutions built within DASHBOARD.awi.de can be easily re-used in other context (e.g. project web pages) . Our solutions support the OGC standard Observations and Measurements (O&M), JSON and CSV as exchange data format. To date, ~ 150 individual parameters are being transfered in near real-time from remote sites to our onshore storage systems and monitored by scientists. In the week of the 11th RDA Plenary Berlin, we will be able to interact with live data from Polarstern crossing the Drake Passage, on its way to Antarctica. Scientific Discipline/Research Area: Data flow, standardized vocabulary, Visualisation, Streaming. Relevance/Link to RDA: The streaming services attached to this component are using the near real-time data transfered from remote field sites to local databases and storage systems. For this sake, we are participating in the RDA "Array DB Assesment" Working Group and "Big Data" Interest Group.

Description: The second Data Science Symposium at AWI gathered several data science related talks from AWI, GEOMAR and HZG.

Description: Started during IPY 2007-2008, the Earth System Science Data journal (Copernicus) has now 'tested the waters' of earth system data publishing for approximately 2 years with some success. The journal has published more than 30 data sets, of remarkable breadth and variety, all under a Creative Commons Attribution license. Users can now find well-described, quality-controlled and freely accessible data on soils, permafrost, sediment transport, ice sheets, surface radiation, ocean-atmosphere fluxes, ocean chemistry, gravity fields, and combined radar and web cam observations of the Eyjafjallajökull eruption plume. Several of the data sets derive specifically from IPY or from polar regions, but a large portion, including a substantial special issue on ocean carbon, cover broad temporal and geographic domains; the contributors themselves come from leading science institutions around the world. ESSD has attracted the particular interest of international research teams, particularly those who, as in the case of ocean carbon data, have spent many years gathering, collating and calibrating global data sets under long-term named programs, but who lack within those programs the mechanisms to distribute those data sets widely outside their specialist teams and to ensure proper citation credit for those remarkable collaborative data processing efforts. An in-progress special issue on global ocean plankton function types, again representing years of international data collaboration, provides a further example of ESSD utility to large research programs. We anticipate an interesting test case of parallel special issues with companion science journals - data sets in ESSD to accompany science publications in a prominent research journal. We see the ESSD practices and products as useful steps to increase quality of and access to important data sets. abstract id. U21C-04

Description: DATA.awi.de is a component of our data flow framework designed to enable a semi-automated flow of sensor observations to archives (acronym O2A). The dramatic increase in the number and type of platforms and respective sensors operated by Alfred Wegener Institute along with complex project-driven requirements in terms of satellite communication, sensor monitoring, quality control and validation, processing pipelines, visualization, and archival under FAIR principles, led us to build a generic and cost-effective data flow framework. Most important, all components and services which make up this framework are extensible and exchangeble, were built using open access technologies (e.g. elastic search) and vocabularies (SeaVox NERC 2.0 vocabulary) and are compliant with various interoperability standards recommended by the international community. In this poster we illustrate the DATA.awi.de component which is a one-stop-shop framework for enabling discovery and dissemination of heterogeneous scientific information. Because the metadata and data generated and captured by the other O2A components are machine-readable and interoperable, we were able to build harvesting and indexing solutions which enable scientists and other stakeholders to discover content ranging from platforms/sensors, tracklines, field reports, near real-time data to quality-controlled data, map products and peer-reviewed publications. Scientific Disciplin/Research Area: Findability, Interoperability, Integration, Re-use. Relevance/Link to RDA: In the context of our harvesting approach, we are interacting with the RDA "Brokering Framework" Working Group and "Brokering" Interest Group.