From principles to reality. FAIR implementation in the nanosafety community

Safe, Sustainable, and Recyclable by Design (SSRbD): A Quantitative Integrated Approach through a Scoring System Applied to Polymeric Materials

“…Cross-pillar considerations emphasized the necessity for dynamic and improved data collection processes, defining a unique identification number provides a basis and a dynamic link between the three questionnaires (hazard, release, LCA/LCC) ensuring assessment of the same formulation of the material under development. As emphasized in a recent paper 49 in the nanomaterials sector, the data collection process presents a wellrecognized challenge and requires continuous improvement. An improvement could be to involve database management specialists and data scientists for complex and numerous SSRbD alternatives with multiple formulations or compositions.…”

Safe, Sustainable, and Recyclable by Design (SSRbD): A Quantitative Integrated Approach through a Scoring System Applied to Polymeric Materials

“…Cross-pillar considerations emphasized the necessity for dynamic and improved data collection processes, defining a unique identification number provides a basis and a dynamic link between the three questionnaires (hazard, release, LCA/LCC) ensuring assessment of the same formulation of the material under development. As emphasized in a recent paper 49 in the nanomaterials sector, the data collection process presents a wellrecognized challenge and requires continuous improvement. An improvement could be to involve database management specialists and data scientists for complex and numerous SSRbD alternatives with multiple formulations or compositions.…”

Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.

“…This may involve creating a standardized vocabulary or ontology to facilitate data integration and fairness. Strong efforts are ongoing in the field of nanosafety towards the principles of Findability, Accessibility, Interoperability and Reusability (FAIR) data and their importance for modelling studies and data-driven safe and sustainable application of nano- and advanced materials [100] , [101] , [102] , [103] .…”

Nano-scaled advanced materials for antimicrobial applications – mechanistic insight, functional performance measures, and potential towards sustainability and circularity

“…The study further emphasizes that many observed studies have poorly reported characterization data, generating an ever-so harder time to establish unifiable in silico assessment methods and proving the necessity of executing and reporting studies following the FAIR data principles. 72,73 It is undeniable that a well-defined set of minimum characterization requirements must be established and adopted in future publications. Without proper reporting, model design cannot be effectively performed, increasing the risk of overlooking critical correlations.…”

Safe, Sustainable, and Recyclable by Design (SSRbD): A Quantitative Integrated Approach through a Scoring System Applied to Polymeric Materials

“…Cross-pillar considerations emphasized the necessity for dynamic and improved data collection processes, defining a unique identification number provides a basis and a dynamic link between the three questionnaires (hazard, release, LCA/LCC) ensuring assessment of the same formulation of the material under development. As emphasized in a recent paper 49 in the nanomaterials sector, the data collection process presents a wellrecognized challenge and requires continuous improvement. An improvement could be to involve database management specialists and data scientists for complex and numerous SSRbD alternatives with multiple formulations or compositions.…”

Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.

“…This may involve creating a standardized vocabulary or ontology to facilitate data integration and fairness. Strong efforts are ongoing in the field of nanosafety towards the principles of Findability, Accessibility, Interoperability and Reusability (FAIR) data and their importance for modelling studies and data-driven safe and sustainable application of nano- and advanced materials [100] , [101] , [102] , [103] .…”

Nano-scaled advanced materials for antimicrobial applications – mechanistic insight, functional performance measures, and potential towards sustainability and circularity

“…The study further emphasizes that many observed studies have poorly reported characterization data, generating an ever-so harder time to establish unifiable in silico assessment methods and proving the necessity of executing and reporting studies following the FAIR data principles. 72,73 It is undeniable that a well-defined set of minimum characterization requirements must be established and adopted in future publications. Without proper reporting, model design cannot be effectively performed, increasing the risk of overlooking critical correlations.…”

Safe, Sustainable, and Recyclable by Design (SSRbD): A Quantitative Integrated Approach through a Scoring System Applied to Polymeric Materials

“…Cross-pillar considerations emphasized the necessity for dynamic and improved data collection processes, defining a unique identification number provides a basis and a dynamic link between the three questionnaires (hazard, release, LCA/LCC) ensuring assessment of the same formulation of the material under development. As emphasized in a recent paper 49 in the nanomaterials sector, the data collection process presents a wellrecognized challenge and requires continuous improvement. An improvement could be to involve database management specialists and data scientists for complex and numerous SSRbD alternatives with multiple formulations or compositions.…”

Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.

“…This may involve creating a standardized vocabulary or ontology to facilitate data integration and fairness. Strong efforts are ongoing in the field of nanosafety towards the principles of Findability, Accessibility, Interoperability and Reusability (FAIR) data and their importance for modelling studies and data-driven safe and sustainable application of nano- and advanced materials [100] , [101] , [102] , [103] .…”

Nano-scaled advanced materials for antimicrobial applications – mechanistic insight, functional performance measures, and potential towards sustainability and circularity

“…The study further emphasizes that many observed studies have poorly reported characterization data, generating an ever-so harder time to establish unifiable in silico assessment methods and proving the necessity of executing and reporting studies following the FAIR data principles. 72,73 It is undeniable that a well-defined set of minimum characterization requirements must be established and adopted in future publications. Without proper reporting, model design cannot be effectively performed, increasing the risk of overlooking critical correlations.…”