38 research outputs found

    SensorThings API - overview and example of implementation in Theia/OZCAR

    No full text
    International audienceThis document presents :- SensorThings API- A mass movement to the SensorThings API - Theia/OZCAR feedbackIt was presented at the "Forum OGC France" event :https://github.com/opengeospatial/ForumOGCFrance/tree/main/J2I/J2I_2024/Presentation

    SensorThings API - overview and example of implementation in Theia/OZCAR

    No full text
    International audienceThis document presents :- SensorThings API- A mass movement to the SensorThings API - Theia/OZCAR feedbackIt was presented at the "Forum OGC France" event :https://github.com/opengeospatial/ForumOGCFrance/tree/main/J2I/J2I_2024/Presentation

    OLES Online Laboratory for Environmental Sciences

    No full text
    International audienceThe integrated cyber-infrastructure, OLES, provides an access to observation data and to tools and models built to enhance our understanding on the evolution of the Earth's water resources and climate. OLES aims at i) extracting the required data from database portals using OGC webservice (CSW, SOS), ii) building a specific process chain based on modules that use NetCDF format for exchanging data, iii) running the process in chosen computing facilities, OLES can connect outside on a private LAN and iv) visualizing the result of the process. Based on J2EE, the MMI of OLES is a web interface and interacts with EJB objects. OLES uses web services to communicate with a sequencer developed in C++

    Playing ” OGC SensorThings API Part 1 : Sensing ” with several French research organizations and one research infrastructure

    No full text
    International audienceOne of the major goals of the European Long-Term Ecological Research (eLTER) and the up-coming eLTER Research Infrastructure (eLTER RI) is to provide reliable and quality-controlled long-term data for scientiïŹc analysis as well as the assessment of environmental policy impacts. For this purpose, eLTER has designed, implemented and operates a federated data infrastruc-ture called the eLTER Information System. This e-infrastructure oïŹ€ers data stored in existing partner data systems, harmonised by a central discovery portal and federated data access com-ponents providing a common information management infrastructure for making environmental data available from distributed resources provided by the contributing LTER national networks. Designing, building and optimising such a pan-European environmental data infrastructure is a lengthy and complex process that is based on a set of criteria deïŹned by user needs, share-holder requirements and general service and technology best practises. To further improve and extend the eLTER Information System, user needs have recently been collected by (a) targeted interviews with selected stakeholders to identify the scope and background of the data and ICT requirements, (b) workshops mapping user requirements based on personas derived from the interviews, and (c) analysis work on extracting so-called user stories. The requirements collec-tions are used to derive functional (i.e. the behaviour of essential features of the system) and non-functional (i.e. the general characteristics of the system) requirements for the IT infrastruc-ture and services. These collected requirements revolve around the development of workïŹ‚ows for the ingestion, curation and publication of data objects including the creation, harvesting, discovery and visualisation of metadata as well as providing means to support the analysis of these datasets and communicating study results.This presentation will provide an overview of the current stage of the data infrastructure as well as its major components, provide an outlook for future developments and discuss the technical and scientiïŹc challenges of building the eLTER Information System

    Implementing FAIR principles for dissemination of data from the French OZCAR Critical Observatory network: the Theia/OZCAR information system

    No full text
    International audienceOZCAR-RI, the French Critical Zone Research Infrastructure gathers 20 observatories sampling various compartments of the Critical Zone, and having historically developed their own data management and distribution systems. However, these efforts have generally been conducted independently. This has led to a very heterogeneous situation, with different levels of development and maturity of the systems and a general lack of visibility of data from the entire OZCAR-RI community. To overcome this difficulty, a common Information System (Theia/OZCAR IS) was built to make these in situ observation FAIR (Findable, Accessible, Interoperable, Reusable) and that will allow the data to be visible in the European eLTER-RI (European Long Term Ecosystem Research) Research Infrastructure to which OZCAR-RI contributes. The IS architecture was designed after consultation of the users, data producers and IT teams involved in data management. A common data model including all the requested information and based on several metadata standards was defined to set up information fluxes between observatories IS and the Theia/OZCAR IS. Controlled vocabularies were defined to develop a data discovery web portal offering a faceted search with various criteria, including variables names and categories that were harmonized in a thesaurus published on the web. The communication will describe the IS architecture, the pivot data model and open source solutions used to implement the data portal that allows data discovery. The communication will also present future steps to implement data downloading and interoperability services that will allow a full implementation of these FAIR principles

    Relation entre les températures de l'air et les températures du sol : l'exemple des Hauts Plateaux du Vercors.

    No full text
    International audienceLa tempĂ©rature du sol est dĂ©pendante de la tempĂ©rature atmosphĂ©rique, avec un dĂ©calage temporel et d'amplitude variable en fonction de la profondeur et du type de couverture vĂ©gĂ©tale ou neigeuse. Ces variations thermiques, dans le sol et Ă  la surface, conditionnent Ă  leur tour les variations bioclimatiques, les ressources en eau et, par consĂ©quent, la phĂ©nologie vĂ©gĂ©tale. Cet article cherche donc Ă  approfondir l'Ă©tude de la relation qui existe entre les tempĂ©ratures de l'air et celles du sol Ă  diffĂ©rentes profondeurs dans la RĂ©serve Naturelle des Hauts-Plateaux du Vercors. Les donnĂ©es mĂ©tĂ©orologiques utilisĂ©es proviennent de la station du site de Gerland (44°52'2” N - 5°28'6” E) situĂ©e au cƓur de la RĂ©serve et opĂ©rationnelle depuis fin septembre 2004. L'Ă©tude porte plus particuliĂšrement sur les sĂ©ries thermiques obtenues Ă  une rĂ©solution temporelle de 15 minutes et mesurĂ©es Ă  2 m ainsi qu'Ă  5, 15 et 30 cm de profondeur

    Relation entre les températures de l'air et les températures du sol : l'exemple des Hauts Plateaux du Vercors.

    No full text
    International audienceLa tempĂ©rature du sol est dĂ©pendante de la tempĂ©rature atmosphĂ©rique, avec un dĂ©calage temporel et d'amplitude variable en fonction de la profondeur et du type de couverture vĂ©gĂ©tale ou neigeuse. Ces variations thermiques, dans le sol et Ă  la surface, conditionnent Ă  leur tour les variations bioclimatiques, les ressources en eau et, par consĂ©quent, la phĂ©nologie vĂ©gĂ©tale. Cet article cherche donc Ă  approfondir l'Ă©tude de la relation qui existe entre les tempĂ©ratures de l'air et celles du sol Ă  diffĂ©rentes profondeurs dans la RĂ©serve Naturelle des Hauts-Plateaux du Vercors. Les donnĂ©es mĂ©tĂ©orologiques utilisĂ©es proviennent de la station du site de Gerland (44°52'2” N - 5°28'6” E) situĂ©e au cƓur de la RĂ©serve et opĂ©rationnelle depuis fin septembre 2004. L'Ă©tude porte plus particuliĂšrement sur les sĂ©ries thermiques obtenues Ă  une rĂ©solution temporelle de 15 minutes et mesurĂ©es Ă  2 m ainsi qu'Ă  5, 15 et 30 cm de profondeur

    Theia/OZCAR Thesaurus: lessons learned on implementing the I-ADOPT framework, a new Research Data Alliance recommendation designed to facilitate interoperability between scientific variables from different controlled vocabularies

    No full text
    International audienceThe Theia/OZCAR Information System (IS) aims to facilitate the discovery, to make FAIR in-situ data of continental surfaces collected by French research organizations and their foreign partners. Variables names has emerged as a common criterion when interviewing "critical zone science users" on their needs for data discovery. We believe that this need is general to all disciplines involved in Earth System sciences and is all the more important when data is searched by scientists of other disciplines that are not familiar with the vocabularies of the other communities. In the Theia/OZCAR critical zone research community, long term observatories that produce the data have heterogeneous data description practices and variable names. They may be different for the same variable (i.e.: "soil moisture", "soil water content", "humidité des sols", etc.). Moreover, it is not possible to infer automatically or semi-automatically similarities between these variables names. In order to identify these similarities and implement data discovery functionalities on these dimensions in the IS, we built the Theia/OZCAR variable thesaurus. To enable technical interoperability of the thesaurus, it is published on the web using the SKOS ontology. Other thesauri used in environmental sciences in Europe and worldwide have been identified and the definition of associative relationships with these vocabularies ensures the semantic interoperability of the Theia/OZCAR thesaurus. However, it is quite common that the variable names used for the search dimensions remain general (e.g. "soil moisture") and are not specific enough for the end user to interpret exactly what has been measured (e.g. "soil moisture at 10 cm depth measured by TDR probe"). Therefore, to improve data reuse and interoperability, the thesaurus now follows a recommendation of the Research Data Alliance and implements the I-ADOPT framework to describe the variables more precisely. Each variable is composed and described by relationships with atomic concepts whose definition is specified. The use of these atomic concepts enhances interoperability with other catalogues or services and contributes to the reuse of the data by other communities that those who collected them.This abstract aims to share our experience in building this controlled vocabulary on variable names using the I-ADOPT framework
    corecore