RuQaD Batteries

Like a rocket, but for batteries

The RuQaD Batteries (Reuse Quality-assured Data for Batteries) project demonstrates the bridging between a research data infrastructure (POLIS) and an industrial data space (BatCAT) for the efficient reuse of quality-assured research data from the context of battery production. As part of the EU-HORIZON consortium BatCAT, a dataspace based on the FAIR principles for lithium-ion and sodium-ion button cells and redox-flow batteries is being created. The dataspace is technologically based onThe RuQaD Batteries (Reuse Quality-assured Data for Batteries) project demonstrates the bridging between a research data infrastructure (POLIS) and an industrial data space (BatCAT) for the efficient reuse of quality-assured research data from the context of battery production. As part of the EU-HORIZON consortium BatCAT, a dataspace based on the FAIR principles for lithium-ion and sodium-ion button cells and redox-flow batteries is being created. The dataspace is technologically based on LinkAhead as a Data and Knowledge Management System (DKMS) and Eclipse Dataspace Components (EDC) for the trust-based sharing and exchange of data in the dataspace. Kadi4Mat is being developed and used as part of the NFDI consortium NFDI4Ing and the Post-Lithium Storage Cluster of Excellence (POLIS), among others. Data on sodium ion batteries from POLIS is of particular interest for the R&D activities of the BatCAT consortium. The enrichment or validation of the data collected as part of BatCAT with additional data offers an effective advantage for the development and training of models (keywords: machine learning and artificial intelligence).

The aim of the demonstrator is to create a link between a research data infrastructure and a dataspace that promotes the reuse of existing data. On the one hand, this requires a high degree of automation in order to be able to process a large number of data sets. On the other hand, a "human-in-the-loop", i.e. human interaction, is required to allow additional control to ensure that no data records are introduced into the dataspace that are not intended for this purpose. For dataspaces to offer great added value, the data and metadata should be of high quality. However, this can be a challenge if data is to be reused that was collected before the dataspace was created, for example. To meet this challenge, we integrate comprehensive quality checks into the publication process with our RuQaD demonstrator.

The RuQaD demonstrator reads (meta) data from Kadi4Mat and publishes it to the data space after a quality check. This workflow is, among other things, made possible by the LinkAhead Crawler data integration and harmonization tool. This will be used in the demonstrator for processing the data records and for the connection to LinkAhead. For the quality check, RuQaD builds on the existing FAIR dataspaces demonstrator 4.2 (Data Quality Assurance and Workflows) and extends it. In addition to the existing quality checks, the quality checks also include a check as to whether the metadata complies with the metadata standard defined by the BatCAT dataspace, or which information is missing, and whether the FAIR principles are observed. This means that the RuQaD Demonstrator builds on two essential, already existing components (LinkAhead Crawler, Demonstrator 4.2) and uses them to enable data reuse between data space and research data infrastructure in an innovative way.

The implementation of the RuQaD demonstrator aims at two concrete infrastructures (POLIS & BatCAT). However, the technologies, interfaces and design used allow the demonstrator to be easily extended to other use cases (e.g. another Kadi4mat-based research data infrastructure or another EDC-based data space) that go beyond battery research. LinkAhead as a Data and Knowledge Management System (DKMS) and Eclipse Dataspace Components (EDC) for the trust-based sharing and exchange of data in the dataspace. Kadi4Mat is being developed and used as part of the NFDI consortium NFDI4Ing and the Post-Lithium Storage Cluster of Excellence (POLIS), among others. Data on sodium ion batteries from POLIS is of particular interest for the R&D activities of the BatCAT consortium. The enrichment or validation of the data collected as part of BatCAT with additional data offers an effective advantage for the development and training of models (keywords: machine learning and artificial intelligence).

The aim of the demonstrator is to create a link between a research data infrastructure and a dataspace that promotes the reuse of existing data. On the one hand, this requires a high degree of automation in order to be able to process a large number of data sets. On the other hand, a "human-in-the-loop", i.e. human interaction, is required to allow additional control to ensure that no data records are introduced into the dataspace that are not intended for this purpose. For dataspaces to offer great added value, the data and metadata should be of high quality. However, this can be a challenge if data is to be reused that was collected before the dataspace was created, for example. To meet this challenge, we integrate comprehensive quality checks into the publication process with our RuQaD demonstrator.

The RuQaD demonstrator reads (meta) data from Kadi4Mat and publishes it to the data space after a quality check. This workflow is, among other things, made possible by the LinkAhead Crawler data integration and harmonization tool. This will be used in the demonstrator for processing the data records and for the connection to LinkAhead. For the quality check, RuQaD builds on the existing FAIR dataspaces demonstrator 4.2 (Data Quality Assurance and Workflows) and extends it. In addition to the existing quality checks, the quality checks also include a check as to whether the metadata complies with the metadata standard defined by the BatCAT dataspace, or which information is missing, and whether the FAIR principles are observed. This means that the RuQaD Demonstrator builds on two essential, already existing components (LinkAhead Crawler, Demonstrator 4.2) and uses them to enable data reuse between data space and research data infrastructure in an innovative way.

The implementation of the RuQaD demonstrator aims at two concrete infrastructures (POLIS & BatCAT). However, the technologies, interfaces and design used allow the demonstrator to be easily extended to other use cases (e.g. another Kadi4mat-based research data infrastructure or another EDC-based data space) that go beyond battery research.

Resources

Repository of the Demonstrator Repository of the Testbed Architecture Documentation Video on Youtube