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The project EERAdata !

Towards a FAIR and open data ecosystem in the low carbon energy research community. Transparent, re-usable, and integrated energy data enable society to choose, monitor, and implement sustainable transition pathways. It is not only a prerequisite for people to have ownership over the changes, but it is also offering huge potential for industrial and social innovation. The majority of energy databases are not fit for this purpose, which the project aims to change. The consortium develops, tests, and implements a FAIR and open data ecosystem in the energy field. FAIR stands for F-findable, A-accessible, I-interoperable, and R-re-usable. The EU-funded EERAdata project builds a pool of data stewards to guide the community towards fit-for-purpose data practices.

The project is funded by Europa's Horizon 2020 Research Program.

EERAdata logo and key visual. The elements of the logo include data points - symbolizing databases or data platforms - and a data folder which are connected through the feed symbol. All stand for the idea of EERAdata to support FAIR and open data. The folder furthermore is a nostalgic reminder of the grand library catalogs to search for books, all of them are masterpieces on their own.

Key visual of EERAdata

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List of project partners

1. HVL - Western Norway University of Applied Sciences
2. IUE - Izmir University of Economics
3. AIT - Austrian Institute of Technology
4. GIG - Central Mining Institute
5. EERA - European Energy Research Alliance

Use cases in EERAdata

Definition: Use cases are an exercise for testing and refining the general approach towards FAIRification and opening of databases as well as to testing and refining the community platform. Use cases constitute practical commitments for implementation (PCI), i.e. the FAIRification and opening of data. Through exercises, the status quo of FAIR/O data principles in each use case is advanced by:

• Identifying taxonometric elements and metadata common among different domains of the energy system. Proper metadata will enable separating expert knowledge (and expert interest) from general knowledge and general interest, allowing coarse-grained and fine-grained navigation.
• Linking these metadata standards to existing metadata standards in other domains. Example: Weather-related data are integral to the efficient operation of PV, wind technology, or district heating. The assignment of geo-tagged information to low carbon energy technology data is thus the way forward. EERAdata will link energy domain metadata with metadata defined by ISO 19115 Geographic Metadata Information.
• Exploring a variety of challenges towards FAIRification and Opening of data. Use cases provide a means to test the EERAdata concept towards FAIRification and the opening of data. Therefore, use cases are chosen to cover, on the one hand, low hanging fruits to demonstrate do-ability, promote the FAIR/O data principle implementation and showing associated benefits for the low carbon energy research community. On the other hand, EERAdata also includes use cases where the concept is challenged, because FAIRification and opening activities are still in their infancy.
• Broad testing and application to enable trans-disciplinary research combining data from different domains and at different scales. Use cases are at the same time selected to cover wider aspects of the low carbon energy transformation, exploring different sub-domains. This ensures a broad testing and application of the FAIR/O ecosystem as well as the community platform.
• Gender as a cross-cutting issue, see Gender for more details.

Selection: Altogether 4 use cases were selected:

Use case 1	Use case 2	Use case 3	Use case 4	DMP
Buildings efficiency	Power transmission & distribution networks	Material solutions for low carbon energy	Low carbon energy and energy efficiency policies	Data Management Plan

Workshops in EERAdata

The workshop concept of EERAdata is developed along with the Index to FAIR Action Plan as recommended by EC Expert Group on FAIR data, 2018 More specifically, the testing and discussion of the FAIR/O ecosystem (incl. the community platform) are organized through a series of workshops that take place twice a year with sequential annual foci. Each workshop takes three days. The first day is dedicated to state of the art for each workshop topic. Experts from the energy and other research communities are invited to present best practices (ensuring the participation from institutions providing research infrastructure, academia, and industry and private sector persons). Mutual learning and exchange of knowledge are facilitated in moderated discussions following presentations. The first day advances the understanding of cutting-edge concepts and approaches towards FAIR/O data (e.g., the role of metadata, data management plans, metrics, incentive mechanisms, etc.). The second day uses the knowledge and understanding obtained during the first day to translate the concepts and approaches to the domain of low carbon energy research data at the level of selected use cases. The goal is to understand the ways of data discovery and to synthesize metadata from mental models of domain experts (otherwise proposed metadata will remain artificial and, thus, not used in the community). Hence, the work done during the second day takes place in parallel groups structured around use cases (see details below). The key participants of workshops are consortium members for each use case and the groups of stewards of FAIR/O data principles recruited from invited experts. The third day synthesizes, integrates, and concludes the results achieved during the first two days (e.g., unifying and linking metadata across use cases). First, discussed concepts and approaches for the FAIR/O ecosystem, as well as the community platform, are refined. This continuously shapes the main deliverables of the workshops. Second, the agenda of the next workshop is agreed upon and specified with respect to experts to be invited and topics to be addressed. It should be noted that the first and the second day are open to participants from outside of the consortium to allow community-wide participation in EERAdata.

• 1st Year: Define. Concept for FAIR implementation. Skills for FAIR.
• 2nd Year: Implement. FAIR culture. FAIR Ecosystem. Skills for FAIR.
• 3rd Year: Embed & sustain. Incentives, metrics, and investments for FAIR data and services.

List of workshops

1. Workshop 1 on "FAIR principles and METADATA for low carbon energy"
2. Workshop on "FAIR and open energy metadata"
3. Workshop on "FAIRification put into practice"
4. Workshop on "Supporting technologies for FAIRification"
5. Workshop on "Sustainable models for FAIR and open low carbon energy research data"
6. Workshop on "New trends in open science & steps beyond EERAdata"