• Delivering analytical and characterisation excellence in nanomaterial risk assessment: a tiered approach

    Delivering analytical and characterisation excellence in nanomaterial risk assessment: a tiered approach

  • Introducing confidence, adaptability and clarity into nanomaterial risk assessment

    Introducing confidence, adaptability and clarity into nanomaterial risk assessment

  • Facilitating decision-making in choice of techniques and SOPs

    Facilitating decision-making in choice of techniques and SOPs

ACEnano Knowledge Infrastructure version 2.0

Updates related to the protocols, data collection and the general usability

Web: https://acenano.douglasconnect.com/

The knowledge infrastructure of ACEnano includes instances to accommodate data and protocols related to physico-chemical characterisation of nanomaterials. The protocols database facilitates adding, sharing and comparing methods in a questionnaire-like format guiding users through the documentation process from starting material identification to sample preparation, measurement and data processing.

The data warehouse offers long-term storage of the results in a reusable format that are directly linked to the methods applied.

Overall, the functionality of the KI supports the implementation of Findable, Accessible, Interoperable and Reusable (FAIR) data principles, the reproducibility and documentation process towards the goal of generating reference resources for nanomaterials risk assessment.

What's new?

Version 2.0 of the platform offers a user friendly and improved format for addition of protocols, with features that capture information related to the sample preparation, the measurements of the nanomaterial properties and the data processing. Several issues from version 1.0 were resolved in order to make the process easier but also to collect additional information and metadata.

The data warehouse is now available and included in version 2.0 of the platform. This section allows users to create a workflow and upload the measurement results. The data upload process includes seven steps:

  1. Select the technique used in the analysis and which endpoints were measured
  2. Select which sample preparation protocol was used
  3. Select the measurement protocol
  4. Select which data treatment protocol was used
  5. Provide details such as analysis name, description, and contact information
  6. Provide description of the sample that was used in the measurement
  7. Upload raw and processed data files

The workflow created and data uploaded are then saved in the database in order to be further consulted and used by the project members.

In a next step the data is managed using the EdelweissDataTM technology, that supports the processes of annotation, organisation and storage of data and metadata.

 

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Documentation and training materials

  • User manual: https://github.com/NanoCommons/tutorials/tree/master/ACEnano%20manuals

  • Poster summarising the KI’s features: https://acenano.douglasconnect.com/dissemination/event/152/euronanoforum-2019/

  • Contact and user support: This email address is being protected from spambots. You need JavaScript enabled to view it.

     

Next training sessions:

  • Data Management training dedicated to ACEnano members, prior to the consortium meeting (25 September 2019, Gijon, Spain)

  • Training session organised during the ‘EU NanoSafety Cluster Week’ (7-10 October 2019, Copenhagen, Denmark)

     

About the platform

ACEnano knowledge infrastructure (KI) supports the activities related to data collection and method optimisation in the area of physicochemical characterisation of nanomaterials. The KI provides a central place to access harmonised and standardised methods and data, supporting the implementation of Findable, Accessible, Interoperable and Reusable (FAIR) data principles, the reproducibility and documentation process towards the goal of generating reference resources for nanomaterials risk assessment.

A public version of the data warehouse is being integrated in the NanoCommons data ecosystem. By semantic annotation and linking, this guarantees harmonisation and interoperability with other data sources of the EU NanoSafety Cluster.

The protocols section facilitates access and sharing of methodology applied in nanosafety, starting with nanomaterials characterisation protocols developed or optimised within the ACEnano project. The experimental datasets of nanomaterials characterisation is stored together with relevant metadata pertaining to sample preparation, measurement, and the data treatment. The resulting measured value and its metadata will give as complete information as possible so that possibilities of future use of the measured value is maximised.

The data warehouse is offering long-term storage in a re-usable format of data produced by the ACEnano project or provided by the nanosafety community.

The development of the KI is supported by ACEnano (EU Horizon 2020 NMBP project no. 720952), while its availability to a wider community is assured by the activities in NanoCommons (Horizon 2020 INFRAIA project no. 731032). 

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