The purpose of the Knowledge Bank is to provide insights into various outputs developed in initiatives and projects at the EU and Member States levels concerning data infrastructures and data use. Furthermore, it proposes a quick guide on potential use, showing how these outputs could be used for monitoring and evaluation of the CAP.
By the end of 2021, there are 63 outputs published from 25 projects/initiatives.
You can send new project info and feedback to info@ruralevaluation.eu.
To facilitate better usability of the Evaluation Knowledge Bank please also check out practical examples, presentations of the selected content and other material on the Thematic Working Group 9 webpage.
This is a comparative analysis of rural newcomers, new entrants into farming and farm successors that helps to understand their motivations and the problems they face. It also offers a useful analysis of the available data and its relevance for assessing the effects of young farmer support measures on their performance and resilience.
This tool is an integrated methodological framework for assessing and evaluating the impacts of social innovation accompanied by an evaluation manual, a database of frameworks, approaches, methods and tools for evaluation and an open-access Massive Open Online Course (MOOC)
This tool is a database of more than 200 projects that is continuously updated and allows users to search and retrieve projects according to region, sector, and social innovation topic.
This output is a quantitative model for assessing the impact of broadband access to regional economic growth. It is based on a Rural Digitisation Index, mapping the evolution of broadband coverage and running regression models for different connectivity rates.
This output is an inventory of digital tools that helps to asses the socio-economic impacts of digital transformation in agriculture, forestry and rural areas in 20 European regions.
This output is a methodological approach for a participatory qualitative impact evaluation of digitalisation.
The cultivated crop type maps (CCTMs) are an Earth Observation (EO) crop classification module that exploits satellite data and machine learning techniques to validate the declared crop type by a farmer and compliance with specific environmental requirements.
The Analytics on Vegetation and Soil Index Time-series (AVSIT) is an Earth Observation (EO) monitoring module that exploits satellite data and machine learning algorithms to provide users with realistic indications related to the field activities and control for cross-compliance.
This service identifies whether a particular crop type declared as organic is classified as such based on a traffic light system.
This product will provide a module for fully automated identification of grassland events to assist in the valid and on-time identification of main events in grasslands such as mowing and grazing.
