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.

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