About eNanoMapper

eNanoMapper (ENM) provides a computational infrastructure for managing and modeling toxicological data of engineered nanomaterials (ENMs). It addresses the challenges of data heterogeneity and knowledge exchange in nanosafety research, supporting “safe-by-design” ENM development. Developed by a consortium including EdelweissConnect, ToxBank, and OpenTox, this platform serves researchers, toxicologists, and regulatory bodies involved in nanomaterial safety assessments.

The infrastructure builds on common components and Application Programming Interfaces (APIs) to integrate diverse nanosafety data. This design facilitates data fusion, enrichment, and predictive modeling for ENMs. eNanoMapper leverages community-agreed ontologies to accelerate knowledge exchange and improve data interoperability across different studies and research groups. Researchers can explore nanosafety data, apply computational models, and integrate their own datasets using the platform’s tools.

Key Features of eNanoMapper

• Computational infrastructure for toxicological data management of engineered nanomaterials.
• Support for “safe-by-design” ENM development workflows.
• Facilitates knowledge exchange and data interoperability through ontologies.
• Integrates data fusion pipelines for generating new insights, including from omics data.
• Features web-based applications like toxFlow for data enrichment and analysis.
• Provides common components and APIs for flexible integration and programmatic access.
• Offers training resources related to nanosafety data management and platform usage.

Development and Validation

The eNanoMapper project was developed through a collaborative consortium involving organizations such as EdelweissConnect, ToxBank, and OpenTox. The project was structured around several work packages, each focusing on specific aspects of computational infrastructure and data management for nanosafety. The initiative aims to support regulatory frameworks, including assisting EU agencies like the Joint Research Centre (JRC) and those involved with REACH regulations, in managing and assessing nanomaterial safety.

Consortium members have published various research articles related to the eNanoMapper project. These include work on data fusion pipelines for generating toxicological insights, web-based applications for data enrichment, and methods for enriching nanomaterial omics data. The platform’s development emphasizes scientific and technological excellence in nanosafety data management, contributing to resources like the Nanoinformatics Knowledge Commons (NIKC).

Access and Data Availability

eNanoMapper is an open-source initiative, accessible through its project website at enanomapper.net. The project emphasizes open data principles, providing access to nanosafety data and related computational tools. The infrastructure is built on common components and APIs, enabling researchers to integrate their own data, build custom applications, or connect with existing tools programmatically. Documentation and further details on accessing its components and APIs are available via the project’s online resources.

Community and Support

The eNanoMapper project is developed and maintained by a consortium of partners, including EdelweissConnect, ToxBank, and OpenTox. This collaborative structure aims to foster a community around nanosafety data management and computational toxicology. The project’s emphasis on knowledge exchange through ontologies and shared APIs encourages broader scientific collaboration. While specific support channels are not detailed on the primary landing page, the consortium structure suggests ongoing maintenance and community engagement.

Why This Resource Belongs on Plastiverse

eNanoMapper directly supports microplastics research by providing critical infrastructure for the topic of Nanomaterials, especially nanoplastics. Its computational framework for toxicological data management is directly applicable to assessing the potential environmental and health impacts of plastic nanoparticles. The platform’s capabilities in data fusion, predictive modeling, and knowledge exchange are valuable for researchers working on nanoplastics exposure, fate, and toxicity, enabling more robust and reproducible analyses in this emerging field. The open-source and open-data nature aligns with Plastiverse’s commitment to accessible scientific resources.