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Decision support systems

DSS are currently under development in the different EU projects funded under the NMBP-15 and NMBP-16 calls. Information on these will be collected here to highlight synergetic effects.

HARMLESS

HARMLESS develops a novel, multifaceted Safe Innovation Approach (SIA) to Multi-Component NanoMaterials (MCNM) and High Aspect Ratio Nanoparticles (HARNs) by integrating New Approach Methodologies (NAMs).

To ensure that industries, including SMEs, pick up HARMLESS new approach, a user-friendly Decision Support System (DSS) is being developed and will be validated iteratively at scale in different case studies. The HARMLESS DSS provides Safe and Sustainable by Design (SSbD) decision support to the users based on a well-established concept of Risk-Informed Decision Making and a Bayesian data and model integration approach.

The IT-architecture of the HARMLESS DSS is based on a FAIR (Findable, Accessible, Interoperable and Reusable) and modular approach in which all HARMLESS data, knowledge and models will be captured in the following stand-alone, but highly interconnected components:

  1. eNanoMapper as a database to store all nanomaterial & experimental data
  2. the HARMLESS FAIR Data Point to capture all knowledge and decision rules in triples (RDF)
  3. the HARMLESS Model FAIR-point that describes all models/algorithms and make them runnable internally as well as accessible via Application Programming Interfaces (API)
  4. a smart HARMLESS DSS interface.

Being modular, the DSS interface will connect to the HARMLESS components, but can also connect to external components (e.g., NanoCommons Data Warehouse, Jaqpot, etc.). Likewise, other components (from other projects) will be able to connect to each of the individual HARMLESS stand-alone components as well. More information will be made available here in the future.