Electronic Supplementary Information Case Study
This case study is part of the Legacy Data Case Studies produced by PSDI's Building Data Collections Pathfinder project. These case studies are designed to demonstrate how value can be elicited from legacy datasets and to capture the lessons that can be learnt from these exercises. The provided guidance can help inform how to apply and adapt these techniques to future datasets, while also guiding how to store, share, and archive current datasets to mitigate against these problems in the future.
Description: This case study explores the challenges of losing valuable raw data when it is embedded within PDFs as part of supplementary information (ESIs). To address this, data was extracted from the supplementary information of the paper titled "Towards the Prediction of Antimicrobial Efficacy for Hydrogen Bonded, Self-Associating Amphiphiles" and converted into JSON format. The process was carefully documented to showcase how such data can be transformed into a more machine-readable format, improving accessibility and usability for further analysis.
Associated Data & Code: https://github.com/PSDI-UK/psdi-datasets/tree/main/ESI_Case_Study
What to do next
Read a related case study examining the reconstruction of databases originating from Second Harmonic Generation (SHG) experiments: Resurrecting Second Harmonic Generation (SHG) Data Case Study.
Related links:
- Find out more about the PSDI project
- Get a quick introduction to PSDI
- Find out more about how to use the resources provided by PSDI
- Creator: Cerys Willoughby, Samantha Pearman-Kanza
- Last modified date: 2025-05-02
- Citation: Please cite: Cerys Willoughby and Samantha Pearman-Kanza, Electronic Supplementary Information Case Study, https://guidance.psdi.ac.uk/docusaurus-pages/docs/guidance/psdi-case-studies/esi/, PSDI (modified 2025-05-02)
- License: CC-BY-4.0
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