Several tools and platforms facilitate data structuring in nanotechnology:
Electronic Lab Notebooks (ELNs): Digital platforms for capturing and organizing experimental data. LIMS (Laboratory Information Management Systems): Software for managing samples, associated data, and workflows. Data Repositories: Centralized platforms like the Nanomaterial Registry or NanoCommons for storing and sharing data. Data Analysis Software: Tools like MATLAB, Python with libraries such as NumPy and Pandas, for structuring and analyzing data.
