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. To achieve this, the data produced through academia, industry and regulatory bodies need to be properly curated, contain sufficient metadata and be semantically annotated so that it can be accessible and readable from both humans and machines, making it will be possible for the data to be queried and mined using appropriate interoperability systems.

The University of Birmingham (UoB) aims to achieve this by implementing data management processes covering the entire data lifecycle, but mainly by moving the data curation process to the data generators. UoB understands that capturing the data and metadata as they are produced, if possible, will save substantial time and resources, while resulting in higher quality datasets. Thus, UoB is offering services on experimental workflow planning, preparation of pre-annotated data curation templates and pre-existing data curation services. UoB is also offering to complement these services with the use of electronic laboratory notebooks (ELN) that can be accessed either online or installed locally.

UoB will work closely with the interested parties to pick, design and implement the most appropriate data and metadata curation templates. UoB will provide extensive training, guidance and hands on practice on the best data curation and quality assurance processes regarding data and metadata capturing. These actions will include the pre-annotation of the curation templates to ensure the highest possible degree of FAIRness. For further information please contact Anastasios (Tassos) Papadiamantis.

Further Information