On Thursday, January 13th 2022, the NanoCommons team, in a joint initiative with the NanoSafety Cluster, is offering an interactive online workshop on implementing Electronic Laboratory Notebooks (ELNs) for nanosafety assessment.  

Under the subtitle “Electronic Lab Notebooks - Demo of NanoCommons-powered Features”, you will learn how to establish a experimental workflows using electronic lab notebooks (ELNs). 

This starts with an introduction to the NanoCommons-powered features on how to manage, modify, create, and import protocols for assays. Tasks can be defined and assigned to different users and/or groups. Finally, data (incl. all relevant metadata) can be exported resulting in reports that facilitate data FAIRness.

Technology advancement, the emergence of nanoinformatics and FAIR data principles implementation have increased the need for high-quality datasets. To achieve this, the data produced through academia, industry and regulatory bodies needs to be properly curated, to contain sufficient metadata and to be semantically annotated. In this way, data can be accessible and readable from both humans and machines, making it possible to be queried and mined using appropriate systems.

One of the main objectives of NanoCommons is to promote the FAIR data principles, cross-project collaboration and data interoperability. This will make it possible to offer the nanosafety community high quality data that can be combined to produce big datasets and be used in novel modelling, machine learning, deep learning and AI techniques. We aim to achieve this by implementing data management processes covering the entire data lifecycle, and by moving the data curation process to the data generators, in line with the concept of Data Shepherding. Capturing the data and metadata as they are produced will save substantial time and resources, while resulting in higher quality datasets. ELNs can be implemented, through cloud services or locally, into everyday experimental practice streamlining and simplifying experimental and computational workflows, practices and data capturing.

Target audience: Bench and computational scientists looking into automated ways to capture and retrieve data and making them available to the community.

Expectation: Willing to learn new things and active participation in the interactive training session.

The hackathon will take place on Thursday, January 13th from 15:00 till 17:00 h CET.

Feel free to join and please do not forget to register here asap so we can tailor the workshop for your needs.

Please, be aware that some personal information may be collected for statistical purposes, however, in a blinded and anonymous way. The workshop will be partially recorded for educational purposes.

You will find updates with more information about NanoCommons and training materials here.

Feel free to redistribute this information within your projects and networks. We are happy to have as many participants as possible and to help the community with the FAIRification of their data by using ELNs allowing nanosafety data annotation in a more straightforward way.

The NanoCommons team will be happy to answer your questions and to guide you in your requests!