scholarly journals Polish network of research infrastructure for plant phenotyping

2021 ◽  
Vol 7 ◽  
Author(s):  
Hanna Ćwiek-Kupczyńska ◽  
Paweł Krajewski

This document is an edited version of the original application for inclusion of a strategic research infrastructure project in the Polish Roadmap for Research Infrastructures. The application entitled "Polish network of research infrastructure for plant phenotyping" was submitted to the Polish Ministry of Science and Higher Education in June 2018; the project was not included in the Roadmap published in January 2020. The original document did not contain this abstract.

2017 ◽  
Vol 13 (S335) ◽  
pp. 219-225
Author(s):  
Ingrid Mann ◽  
Kirsti Kauristi ◽  
Ruth Bamford ◽  
Ian McCrea ◽  
Joeran Moen ◽  
...  

AbstractWe describe existing research infrastructures relevant for space weather and open issues of space weather research including the need for sustainable observation networks and for high-quality data products as basis for model development. The local relevance in Europe for studies of the ionosphere at high latitude is described. We propose as possible a way forward to sustain space weather research in Europe to establish a European research infrastructure project for space weather research and observations.


2021 ◽  

The publication showcases fifty-two excellent research infrastructures and infrastructure clusters in Hungary, furthermore it introduces five up-and-coming emerging research facilities. The purpose of the publication is, by demonstrating the services and activities of our top-of-the-line research infrastructures to potential international partners, to enhance international research-cooperation.


2021 ◽  
Author(s):  
Jaana Bäck ◽  
Werner Kutsch ◽  
Michael Mirtl

<p>Ecosystem Research Infrastructures around the world have been designed, constructed, and are now operational as a distributed effort. The common goal is to address research questions that require long-term ecosystem observations and other service components at national to continental scales, which cannot be tackled in the framework of single and time limited projects.  By design, these Research Infrastructures capture data and provide a wider range of services including access to data and well instrumented research sites. The coevolution of supporting infrastructures and ecological sciences has developed into new science disciplines such as macrosystems ecology, whereby large-scale and multi-decadal-scale ecological processes are being explored. </p><p>Governments, decision-makers, researchers and the public have all recognized that the global economy, quality of life, and the environment are intrinsically intertwined and that ecosystem services ultimately depend on resilient ecological processes. These have been altered and threatened by various components of Global Change, e.g. land degradation, global warming and species loss. These threats are the unintended result of increasing anthropogenic activities and have the potential to change the fundamental trajectory of mankind.  This creates a unique challenge never before faced by society or science—how best to provide a sustainable economic future while understanding and globally managing a changing environment and human health upon which it relies.</p><p>The increasing number of Research Infrastructures around the globe now provides a unique and historical opportunity to respond to this challenge. Six major ecosystem Research Infrastructures (SAEON/South Africa, TERN/Australia, CERN/China, NEON/USA, ICOS/Europe, eLTER/Europe) have started federating to tackle the programmatic work needed for concerted operation and the provisioning of interoperable data and services. This Global Ecosystem Research Infrastructure (GERI) will be presented with a focus on the involved programmatic challenges and the GERI science rationale.</p>


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alessandro R. Goulart ◽  
Lara B. Liboni ◽  
Luciana O. Cezarino

PurposeLooking at the planet as our main and unique asset, the authors encounter fragile zones needing special attention more than others, such as emerging countries. One of their most urgent problems is the qualification gap of the workforce and the consequent increasing poverty and social exclusion. Their backward education system is partially responsible for this disparity, especially in technology-related sectors. In this sense, higher education institutions (HEIs) play a fundamental role in shortening this gap and solving this dichotomy. The purpose of this study is to conduct a systemic study to address the qualification gap of emerging countries, offering a framework to minimize this grand societal challenge, taking Brazilian economy as example.Design/methodology/approachUsing the soft system methodology (SSM), the authors propose systemic solutions to the qualification gap in Brazil by analyzing different stakeholder perceptions and developing a feasible-change framework to transition to an enhanced higher education (HE) model in Brazil.FindingsResults show three main aspects that draw the framework: the education of social and emotional skills, internship support during the first experience in the job market and a closer relationship with employer companies.Research limitations/implicationsAs a future direction, the framework proposes positive changes focused on soft skills-based education and the partnership between companies and HEIs.Originality/valueThe contribution relies on an original application of a system methodology to propose solutions to the qualification gap, involving different stakeholders, their salience and perceptions. The use of SSM to analyze complex problems from stakeholders' perspectives demonstrated how a system approach could empower the stakeholder theory in addressing grand societal challenges.


2013 ◽  
pp. 1523-1550
Author(s):  
Jens Jensen ◽  
David L. Groep

Modern science increasingly depends on international collaborations. Large instruments are expensive and have to be funded by several countries, and they generate very large volumes of data that must be archived and analysed. Scientific research infrastructures, e-Infrastructures, or cyber infrastructures support these collaborations and many others. In this chapter we look at the issue of trust for such infrastructures, particularly when scaling up from a small one. This growth can be “natural,” as more researchers are added, but can also be dramatic if whole new communities are added, possibly with different requirements. Our focus is on authentication, since for most realistic infrastructures, authentication is the foundation upon which further security is built. Our aim has been to focus on real-life experiences and examples, distilling them into practical advice.


2019 ◽  
Vol 114 ◽  
pp. 104-107 ◽  
Author(s):  
Ayodele Akinremi ◽  
Alison E. Turnbull ◽  
Caroline M. Chessare ◽  
Clifton O. Bingham ◽  
Dale M. Needham ◽  
...  

2013 ◽  
Vol 7 (supplement) ◽  
pp. 47-58 ◽  
Author(s):  
Andreas Henrich ◽  
Tobias Gradl

DARIAH (Digital Research Infrastructure for the Arts and Humanities) is part of the European Strategy on Research Infrastructures. Among 38 projects originally on this roadmap, DARIAH is one of two projects addressing social sciences and humanities. According to its self-conception and its political mandate DARIAH has the mission to enhance and support digitally-enabled research across the humanities and arts. DARIAH aims to develop and maintain an infrastructure in support of ICT-based research practices. One main distinguishing aspect of DARIAH is that it is not focusing on one application domain but especially addresses the support of interdisciplinary research in the humanities and arts. The present paper first gives an overview on DARIAH as a whole and then focuses on the important aspect of technical, syntactic and semantic interoperability. Important aspects in this respect are metadata registries and crosswalk definitions allowing for meaningful cross-collection and inter-collection services and analysis.


2020 ◽  
Author(s):  
Nicolas André ◽  
Vincent Génot ◽  
Andrea Opitz ◽  
Baptiste Cecconi ◽  
Nick Achilleos ◽  
...  

<p>The H2020 Europlanet-2020 programme, which ended on Aug 31<sup>st</sup>, 2019, included an activity called PSWS (Planetary Space Weather Services), which provided 12 services distributed over four different domains (A. Prediction, B. Detection, C. Modelling, D. Alerts) and accessed through the PSWS portal (http://planetaryspaceweather-europlanet.irap.omp.eu/):</p> <p>A1. 1D MHD Solar Wind Prediction Tool – HELIOPROPA,</p> <p>A2. Propagation Tool,</p> <p>A3. Meteor showers,</p> <p>A4. Cometary tail crossings – TAILCATCHER,</p> <p>B1. Lunar impacts – ALFIE,</p> <p>B2. Giant planet fireballs – DeTeCt3.1,</p> <p>B3. Cometary tails – WINDSOCKS,</p> <p>C1. Earth, Mars, Venus, Jupiter coupling- TRANSPLANET,</p> <p>C2. Mars radiation environment – RADMAREE,</p> <p>C3. Giant planet magnetodiscs – MAGNETODISC,</p> <p>C4. Jupiter’s thermosphere, D. Alerts.</p> <p>In the framework of the starting Europlanet-2024 programme, SPIDER will extend PSWS domains (A. Prediction, C. Modelling, E. Databases) services and give the European planetary scientists, space agencies and industries access to 6 unique, publicly available and sophisticated services in order to model planetary environments and solar wind interactions through the deployment of a dedicated run on request infrastructure and associated databases.</p> <p>C5. A service for runs on request of models of Jupiter’s moon exospheres as well as the exosphere of Mercury,</p> <p>C6. A service to connect the open-source Spacecraft-Plasma Interaction Software (SPIS) software with models of space environments in order to compute the effect of spacecraft potential on scientific instruments onboard space missions. Pre-configured simulations will be made for Bepi-Colombo and JUICE missions,</p> <p>C7. A service for runs on request of particle tracing models in planetary magnetospheres,</p> <p>E1. A database of the high-energy particle flux proxy at Mars, Venus and comet 67P using background counts observed in the data obtained by the plasma instruments onboard Mars Express (operational from 2003), Venus Express (2006–2014), and Rosetta (2014–2015);</p> <p>E2. A simulation database for Mercury and Jupiter’s moons magnetospheres and link them with prediction of the solar wind parameters from Europlanet-RI H2020 PSWS services.</p> <p>A1. An extension of the Europlanet-RI H2020 PSWS Heliopropa service in order to ingest new observations from Solar missions like the ESA Solar Orbiter or NASA Solar Parker Probe missions and use them as input parameters for solar wind prediction;</p> <p>These developments will be discussed in the presentation.</p> <p>The Europlanet 2020 Research Infrastructure project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654208.</p> <p>The Europlanet 2024 Research Infrastructure project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 871149.</p>


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