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Electronic Lab Notebooks - Demo of NanoCommons-powered Features

Authors: Himly, Martin; Papadiamantis, Anastasios; Exner, Thomas;

Electronic Lab Notebooks - Demo of NanoCommons-powered Features

Abstract

On Thursdays, January 13th and 27th 2022, the NanoCommons team, in a joint initiative with the NanoSafety Cluster, was offering interactive online workshops on implementing Electronic Laboratory Notebooks (ELNs) for nanosafety assessment. Using this tutorial entitled ���Electronic Lab Notebooks - Demo of NanoCommons-powered Features���, you can learn how to establish experimental workflows using electronic lab notebooks (ELNs) available for free here. This started 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. Attached here you find the pdf of the entire webinar slide set. The webinar recording is amongst others available online at the NanoCommons YouTube channel, for direct link to the presentation recording of this event click here, for the online software demo here, and for the detailed hands-on training session recording here. Furthermore, you find additional information on related trainings at the NanoCommons Infrastructure, in the NanoMaterialCommons User Handbook, and at the ELIXIR TeSS channel of NanoCommons.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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