The deliverables of the PREMISE project are distributes across five work packages (WPs). You can learn more about the specific goal and expected deliverables of each work package by clicking on its title below. We will add information and links to deliverables over time as we address them.
- planned
- in-progress
- completed
Develop metadata standards for machine-actionable interoperability between electronic lab notebooks (ELNs)/lab information management systems (LIMSs) and workflow management systems (WFMSs), apply these standards to Materials Science ontologies, and demostrate full integration via a closed-loop ELN-WFMS workflow
A documentation of our gained experience in the development and usage of ontologies to facilitate interoperability in experimental-simulation materials science research.
Most recent version: March 2024
A demonstration of interoperability between openBIS and AiiDAlab following best-practices detailed in D1.1 and leveraging metadata schemas defined in D2.1.
Description coming soon.
Description coming soon.
Implement the standards and guidelines of WP 1 to simulation-assisted experiments, with particular focus to the broad fields of microscopy and spectroscopy, including automation of research data publishing to open repositories
The first version of a metadata schema mapping experiments and simulations of microscopy/spectroscopy of molecules on surfaces.
Most recent version: September 2024
Description coming soon.
Description coming soon.
Implement the standards and guidelines of WP 1 to battery research, focusing on the development of a data schema for digital twins, and develop best practices for designing and implementing autonomous robotic materials science labs
The first version of an ontologized metadata schema for digital twins in battery research, specifically coin-cell assembly and cycling studies.
Most recent version: March 2024
A documentation of our gained experience in designing user interfaces to interact with digital twins. We provide here a set of recommendations for designing such interfaces both in ELNs and WFMSs, covering storage, history tracking, analysis tools, and more, with an emphasis on user experience.
Most recent version: May 2024
Details of and links to a web app designed to convert Excel-based battery metadata into fully ontologized JSON-LD files, primarily using the BattINFO ontology by default.
An interface for the Aurora battery testing platform to integrate coin cell data and metadata collected from manual/automated assembly and testing experiments into the openBIS ELN, including timestamped metadata spanning the full sample history.
Description coming soon.
Design standard templates, visualizers, and modular interfaces for materials science, including common machine-actionable workflows to predict materials properties
A tailored version of openBIS for materials science, featuring custom templates, visualizers, and interface components to streamline data management and analysis, including an imaging technology plugin for direct visualization of Nanonis SXM and microscopy DAT files within the openBIS web interface.
Technical specifications for interoperable schemas of inputs/outputs for common workflows in Materials Science. The document describes the design choices made in the development of the schemas, technical details, and an example showcasing the use of input/output schemas for a common structure geometry optimization (relaxation) workflow. The document also provides short- and long-term plans to build on the specifications towards development and deployment of auto-generated UIs for common workflows.
Description coming soon.
Description coming soon.
Coordinate and manage project tasks and organise outreach via follow-up MADICES conferences and online presence
The second workshop in the MADICES series brought together RDM platform representatives and ontology experts to discuss how to best facilitate ORD interoperability. See link for further details.
The first set of reports detailing the work carried out by PREMISE.
Merged with D5.1
Description coming soon.
Description coming soon.
Description coming soon.