مؤتمر
AI4SD Video: SciData: Semantic representation of scientific data and applications in chemistry
| العنوان: | AI4SD Video: SciData: Semantic representation of scientific data and applications in chemistry |
|---|---|
| المؤلفون: | Chalk, Stuart J. |
| المساهمون: | Kanza, Samantha |
| سنة النشر: | 2022 |
| المجموعة: | University of Southampton: e-Prints Soton |
| الوصف: | Findable, Accessible, Interoperable and Reusable (FAIR) is a paradigm shift in how we should make our research data available and useful for other scientists. The SciData framework (https://stuchalk.github.io/scidataTest/) is a specification for constructing JavaScript Object Notation for Linked Data (JSON-LD) that are semantically encoded, giving meaning to research data and its contextual metadata. This talk will cover the basics of how to create SciData JSON-LD using Python, some example data files for different types of data, use of the file format for the basis of a digital research notebook, and digital chemical twins. |
| نوع الوثيقة: | conference object |
| وصف الملف: | video |
| اللغة: | English |
| العلاقة: | https://eprints.soton.ac.uk/471458/1/StuartChalk_011122.mp4Test; Chalk, Stuart J. (2022) AI4SD Video: SciData: Semantic representation of scientific data and applications in chemistry. Kanza, Samantha (ed.) (doi:10.5258/SOTON/AI3SD0237 ). |
| الإتاحة: | https://doi.org/10.5258/SOTON/AI3SD0237Test https://eprints.soton.ac.uk/471458Test/ https://eprints.soton.ac.uk/471458/1/StuartChalk_011122.mp4Test |
| حقوق: | cc_by_4 |
| رقم الانضمام: | edsbas.2E97B882 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |