On Tuesday, July 14th 2020, 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 “Getting into using ELNs for experimental and computational workflows”, you will learn how to establish a workflow using Scinote-based electronic lab notebooks. This starts with an introduction to the Scinote inventory and continues with hands-on instructions 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 need to be properly curated, contain sufficient metadata and 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 way, it will be possible to offer the nanosafety community with high quality data that can be combined to produce big datasets and be used in novel modelling, machine learning, deep learning and AI techniques. The University of Birmingham (UoB) aims to achieve this by implementing data management processes covering the entire data lifecycle, and by moving the data curation process to the data generators. 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 webinar will take place on Tuesday July 14th from 10:00 till 14:00 h CEST.
Preliminary Agenda:
10:00 – Introduction round and background to the NanoCommons platform
10:20 – Preparation for the hands on session – setting up SciNote (registration, setting up team and project)
10:40 – Introduction to why using ELNs (metadata completeness, scientific QA)
11:00 – Hands-on session 1: Introduction to SciNote inventory (manage, modify, create new)
11:30 – Wrap up of session 1
11:40 – Virtual coffee break (incl. time for Q&A)
11:45 – Hands-on session 2: Create experiments and import protocols/assays
12:15 – Wrap up of session 2
12:25 – Short break (incl. time for Q&A)
12:30 – Hands-on session 3 (creating tasks, inviting and assigning users)
13:00 – Wrap up of session 313:10 – Short break (incl. time for Q&A)
13:20 – Hands on session 4 (extracting results and inventories, creating reports)
13:40 – Summary slides of ELN use, data upload to NanoCommons KB, feedback survey, insight into potential further ELN applications of attendees
13:50 – Virtual drinks and time for personal Q&A
Feel free to join and please do not forget to register here asap so we can tailor the workshop for your needs.
Please create a FREE Scinote account, as it will be used during the workshop.
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.
Please, use this link for joining the session: https://global.gotomeeting.com/join/186158557
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!
Kind Regards,
The NanoCommons Team
