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Supporting marine data discovery and accessibility to enable cross-domain research

There are several research infrastructures or other data services running in Europe that cover a multitude of marine-related sciences, providing specific datasets coming from observations collected with different methods. These infrastructures constitute a diverse world, each looking at a piece of the big picture.

Monitoring Tropical Forest Recovery Capacity Using RADAR Satellite Images

Recent extreme droughts combined with accelerating human exploitation are pushing tropical forests to the point where they cannot recover, making them vulnerable to large unprecedented wildfires. This causes an urgent need to monitor the recovery capacity of tropical forests. To address this challenge, the SURF computing infrastructure was used.

Supporting data trustworthiness using a repository policy generation tool

 NI4OS-Europe developed the Repository Policy Generator (RePol), an opensource web application that facilitates the process of drafting repository policies. RePol is available on NI4OS- Europe service catalogue, a regional catalogue through which all the project’s services are onboarded to EOSC

Developing an interoperable central hub for Social Sciences and Humanities resources.

The Social Sciences and Humanities communities needed a central point to gather and exchange information about their tools, services, and datasets. Although plenty of project websites, service registries, and data repositories existed, they were mostly fragmented. 

Enabling the maximal re-use of data while ensuring IPR compliance.

Based on NI4OS-Europe’s research, legal uncertainty about usage rights and high costs in clearance of licensing issues are very often a matter of concern when it comes to newly produced content but mostly the creation of derivative works, i.e. work that is produced based on other sources.

Supporting the implementation and adoption of EOSC by helping resource providers verify legal and ethics onboarding requirements.

The current version of the EOSC rules of participation report edited by the EOSC Executive Board Rules of Participation (RoP) Working Group (WG) states the standards and conduct required of EOSC participants.

Supporting cross-disciplinary research in natural sciences

This story derives from a market need identified by the service provider. There are thousands of applications in the natural sciences field who were asking for an automated plant identification system within their own applications. Examples include apps that need plant identification systems because they use this information to study the properties of soil and its quality, or because they need to identify specific agricultural practices or promote biodiversity.

Supporting data findability, reliability and replicability in Earth, Meteorology and Climate science domains

This EOSC in practice story targets three main types of users: (1) researchers using the uploaded data models for their own research, (2) national and international meteorological agencies, disseminating forecasts to their users, (3) policymakers, providing official data to governments and international organisations to support the decision made by the governments.

Supporting knowledge creation and sharing by building a standardised interconnected repository of biodiversity data

This EOSC in practice story was developed within the Cos4cloud project and targets a very wide user base as it is addressed to any researchers, teachers, students, companies, institutions and, more generally, anyone interested in knowing, studying or analysing biodiversity information.

Bringing big science experiment data to the researchers’ fingertips

This EOSC in Practice story targets both researchers involved in large science projects (via the ESCAPE project) and citizen scientists or users interested in accessing (a part of) big science experiment data for everyday research purposes (via the CS3MESH4EOSC project).

Connecting researchers, developers and citizen scientists in a unique mobile app environment.

This EOSC in practice story is developed  within the Cos4Cloud project and targets three main types of users: (1) the citizen and citizen scientists who collect valuable data, (2) the researchers who use and benefit from the data collected by citizens via smartphones and sensors, and (3) software developers.