Building the Foundations for Open Applied Earth System Science in ENVRI-FAIR

Author(s):  
Ari Asmi ◽  
Daniela Franz ◽  
Andreas Petzold

<p>The EU project ENVRI-FAIR builds on the Environmental Research Infrastructure (ENVRI) community that includes principal European producers and providers of environmental research data and research services. The ENVRI community integrates the four subdomains of the Earth system - Atmosphere, Ocean, Solid Earth, and Biodiversity/Terrestrial Ecosystems. The environmental research infrastructures (RI) contributing to ENVRI-FAIR have developed comprehensive expertise in their fields of research, but their integration across the boundaries of applied subdomain science is still not fully developed. However, this integration is critical for improving our current understanding of the major challenges to our planet such as climate change and its impacts on the whole Earth system, our ability to respond and predict natural hazards, and our understanding and preventing of ecosystem loss.</p><p> </p><p>ENVRI-FAIR targets the development and implementation of the technical framework and policy solutions to make subdomain boundaries irrelevant for environmental scientists, and prepare Earth system science for the new paradigm of Open Science. Harmonization and standardization activities across disciplines together with the implementation of joint data management and access structures at RI level facilitate the strategic coordination of observation systems required for truly interdisciplinary science. ENVRI-FAIR will finally create an open access hub for environmental data and services provided by the contributing environmental RIs, utilizing the European Open Science Cloud (EOSC) as Europe´s answer to the transition to Open Science.</p><p> </p>

2021 ◽  
Author(s):  
Andreas Petzold ◽  
Ari Asmi ◽  
Katrin Seemeyer ◽  
Angeliki Adamaki ◽  
Alex Vermeulen ◽  
...  

<p>Focused environmental research projects and continuously operating research infrastructures (RIs) designed for monitoring all subdomains of the Earth system contribute to global observing systems and serve as crucial information sources for environmental scientists in their quest for understanding and interpreting the complex Earth System and contribute to global observing systems. The EU funded ENVRI-FAIR project [1] builds on the Environmental Research Infrastructure (ENVRI) community that includes principal European producers and providers of environmental research data and services.</p><p>ENVRI-FAIR targets the development and implementation of both technical frameworks and policy solutions that make subdomain boundaries irrelevant for environmental scientists and prepare Earth system science for the new Open Science paradigm. Cross-discipline harmonization and standardization activities, together with the implementation of joint data management and access structures at the RI level, facilitate the strategic coordination of observation systems required for truly interdisciplinary science. ENVRI-FAIR will ultimately create the open access ENVRI-Hub delivering environmental data and services provided by the contributing environmental RIs.</p><p>The architecture and functionalities of the ENVRI-Hub are driven by the applications, use cases and user needs, and will be based on three main pillars: (1) the ENVRI Knowledge Base as the human interface to the ENVRI ecosystem; (2) the ENVRI Catalogue as the machine-actionable interface to the ENVRI ecosystem; and (3) subdomain and cross-domain use cases as demonstrators for the capabilities of service provision among ENVRIs and across Science Clusters. The architecture is designed in anticipation of interoperation with the European Open Science Cloud (EOSC) and is intended to act as a key platform for users and developers planning to include ENVRI services in their workflows.</p><p>The ENVRI community objectives of sharing FAIRness experience, technologies and training as well as research products and services will be realized by means of the ENVRI-Hub. The architecture, design features, technology developments and associated policies will highlight this example of how ENVRI-FAIR is promoting FAIRness, openness and multidisciplinarity of an entire scientific area by joint developments and implementation efforts.</p><p>Acknowledgment: ENVRI-FAIR has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824068.</p><p>[1] Petzold, A., Asmi, A., Vermeulen, A., Pappalardo, G., Bailo, D., Schaap, D., Glaves, H. M., Bundke, U., and Zhao, Z.: ENVRI-FAIR - Interoperable environmental FAIR data and services for society, innovation and research, 15th IEEE International Conference on eScience 2019, 1-4, doi: http://doi.org/10.1109/eScience.2019.00038, 2019.</p>


2020 ◽  
Vol 47 (3/4) ◽  
Author(s):  
Alin Olteanu ◽  
Florian Rabitz ◽  
Jurgita Jurkevičienė ◽  
Agnė Budžytė

This paper sets a framework for using semiotics as an analytical method for Earth system science. It illustrates the use of such a method by analysing a dataset consisting of 32,383 abstracts of research articles pertaining to Earth system science, modelled as semantic networks. The analysis allows us to explain the epistemological advantages of this method as originating in the systems thinking common in both Earth system science and semiotics. The purpose of this methodological proposal is that of bringing the recent and critical planetary boundaries framework to the attention of ecosemiotics and biosemiotic criticism, and vice versa. Ecosemiotics is a branch of the biosemiotic modelling theory and is thus grounded in Charles Peirce’s schematic semiotics, but also developed in inspiration of Juri Lotman’s systemic semiotics. Both of these foundations of ecosemiotics are compatible with the rationale of Earth system science, given the schematism of Peirce’s semiotics and Lotman’s notion of meaning as an affordance of the biosphere. Far from exhausting the hermeneutic possibilities evoked by the discussed dataset, we argue that such semiotic analysis, made possible by the digital capacity of modelling large amounts of data, reveals new horizons for semiotic analysis, particularly regarding humans’ modelling of the environment.


2014 ◽  
Author(s):  
Dean Williams ◽  
Giri Palanisamy ◽  
Galen Shipman ◽  
Thomas Boden ◽  
Jimmy Voyles

Nature Plants ◽  
2021 ◽  
Author(s):  
Albert Porcar-Castell ◽  
Zbyněk Malenovský ◽  
Troy Magney ◽  
Shari Van Wittenberghe ◽  
Beatriz Fernández-Marín ◽  
...  

1985 ◽  
Vol 73 (6) ◽  
pp. 1118-1127 ◽  
Author(s):  
F.P. Bretherton

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