Project description
Improving the availability of energy data
The central role that data play in energy research and analysis cannot be underestimated. Data are crucial but difficult to collect from different repositories. A lack of energy data reduces the efficiency of both research and energy management. The EU-funded EnerMaps project will work to improve data access and use by the renewable technology industry, energy planners, consultants and researchers as well as by policymakers and public administrations. In particular, the project will establish two freely accessible to users and interconnected instruments providing a significant number of energy datasets and quality-check selection of critical data. In collaboration with the European Open Science Cloud Initiative, it will increase scientific communication of the newly created datasets.
Objective
Data is central for energy research and analysis. Unfortunately, energy data is often difficult to find, mixed in different repositories, and generally fragmented. This results in a lack of efficiency for research and energy transition management.
EnerMaps aims to improve data availability, data quality, and data management for industry (in particular renewable technology industry), energy planners, energy utilities, energy managers, energy consultants, public administration officers specialised in the energy sector and policy decision makers as well as social innovation experts and data providers, applying FAIR principles. To this end, we focus on three axes:
a) The creation of two tools working in conjunction: a scientific community dashboard providing a critical mass of energy datasets in one common tool, and a data management tool providing a quality-check selection of crucial data with an integrated visualization and calculation modules. Both tools will be freely accessible to all users.
b) Scientific communication: we increase current capacities of publicly-financed R&I projects to communicate their newly created datasets through enrichment and promotion activities. The aim is to increase the probability of seeing these datasets reused.
c) Capacity building on data management: an extensive set of formation is organized for lead-user representatives. The use of action-learning techniques and the application of a “train the trainer” approach ensures the efficiency of the training programs.
The project collaborates actively with European-wide data management initiatives such as the European Open Science Cloud Initiative and integrates actively its future users into the development of the different tools to insure their usefulness.
Fields of science
Not validated
Not validated
Programme(s)
Topic(s)
Funding Scheme
CSA - Coordination and support actionCoordinator
1920 Martigny
Switzerland