Abstracts Division 1
3. Can all experimental nanosafety data be reused? No. Let’s help improve the situation
Ammar Ammar (1), Chris T. Evelo (1, 2), Egon L. Willighagen (1)
1. Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, The
Netherlands
2. Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, The Netherlands
Studying nanomaterials, their effects and risks on biological systems is of great
importance to improve our fundamental understanding of their properties and
safety. However, lab experiments needed for such studies are time and resource
consuming. Moreover, reusability of previously produced data to help in
developing computational risk assessment tools is still limited due to the lack
of machine-readable metadata standards and consistency in experimental
reporting. Fortunately, several minimum reporting standards (MRS) were
developed in the field which are suitable to develop a machine-friendly
approach to process, annotate and assess datasets according to those standards
is a logical next step.
In recent years, the FAIR concept arose, aiming at making the data Findable, Accessible,
Interoperable and Reusable. The subprinciple R1.3 is of a special
interest to us which states that (meta)data meet domain-relevant community
standards. Making the community standards in the nanosafety domain available
within the FAIR reusability aspect R1.3 is highly valuable and could bring outstanding
benefits regarding data standardization, sharing and reuse.
In this work, we propose a framework (NSDRA) for NanoSafety Data Reusability
Assessment and enhancement. Data FAIRness can be assessed using maturity
indicators (MI). A FAIR maturity indicator is a measurement that can be used to
determine if a digital resource fulfills a particular FAIR (sub)principle. We
created 281 maturity indicators reflecting 12 of the minimum reporting
standards in the nanosafety domain using Markdown and nanopublication formats.
Second, we developed a metadata generator web application to generate
machine-readable metadata (JSON-LD format) in compliance with the defined
maturity indicators. Finally, we created a web application to assess
nanosafety-related digital resources' reusability by scraping the target URL
related to the dataset, extracting JSON-LD metadata and assess the measured
variables according to a subset of maturity indicators defined by the user
doing the assessment.
NUTRIM | School of Nutrition and Translational Research in Metabolism
NUTRIM aims to contribute to health maintenance and personalised medicine by unraveling lifestyle and disease-induced derangements in metabolism and by developing targeted nutritional, exercise and drug interventions. This is facilitated by a state of the art research infrastructure and close interaction between scientists, clinicians, master and PhD students.
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