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Overview of Microsoft Excel as a Data Analysis Tool01:13

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Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the eNanoMapper Database.

Nikolay Kochev1,2, Nina Jeliazkova2, Vesselina Paskaleva1

  • 1Department of Analytical Chemistry and Computer Chemistry, Faculty of Chemistry, University of Plovdiv, 24 Tsar Assen St, 4000 Plovdiv, Bulgaria.

Nanomaterials (Basel, Switzerland)
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Summary

Nanoinformatics offers data-driven solutions for nanomaterial safety. This study introduces NMDataParser, a tool to convert diverse experimental spreadsheets into FAIR databases, improving data accessibility and reusability for nanosafety research.

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Excel spreadsheetFAIR dataJSONdataeNanoMapper databasemetadatananoparticlenanosafetysoftware parser

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Area of Science:

  • Nanoinformatics
  • Nanosafety
  • Data Science

Background:

  • Nanomaterial (NM) safety research relies heavily on experimental data.
  • Current data storage in varied Excel spreadsheets hinders database integration and FAIR data principles.
  • Regulatory initiatives promote Safe by Design approaches, necessitating robust data management.

Purpose of the Study:

  • To present a workflow for converting experimental spreadsheets into FAIR databases.
  • To introduce the NMDataParser tool for streamlining data conversion.
  • To address challenges in processing diverse nanosafety spreadsheet formats.

Main Methods:

  • Development of NMDataParser, an open-source Java library and application.
  • Utilizing JSON configuration for mapping spreadsheet layouts to the eNanoMapper semantic data model.
  • Describing parsing approaches for various community-used spreadsheet formats.

Main Results:

  • Successful conversion of heterogeneous spreadsheets into a structured database.
  • Demonstration of NMDataParser's utility in nanoinformatics workflows.
  • Identification and proposed solutions for challenging data conversion cases.

Conclusions:

  • The NMDataParser tool facilitates the creation of FAIR databases from experimental nanosafety data.
  • This workflow enhances data accessibility, interoperability, and reusability in nanoinformatics.
  • Standardized data processing is crucial for advancing nanomaterial safety assessment.