遇见数据集

Supplementary Data for the PhD thesis "Advancing Computational Reproducibility: Towards a Standardised Cross-Disciplinary Metadata Framework"

收藏
Zenodo2025-07-16 更新2026-05-26 收录
官方服务:

资源简介:

These files constitute the official supplementary data to the PhD thesis: "Advancing Computational Reproducibility: Towards a Standardised Cross-Disciplinary Metadata Framework", submitted to the Department of Computer Science, University of Manchester. The thesis is organised in nine chapters: 1. Introduction2. Literature Review3. Systematically Examining Reproducibility: PRIMAD Model and BioCompute Object4. PRIMAD‑LID Model5. PRIMAD‑LID Use‑Case Analysis and Cross‑Disciplinary Metadata Derivation6. Multidisciplinary Survey in Reporting Practices7. Multidisciplinary Expert Interviews8. Recuperative RO-Crate Profile9. Conclusion All supplementary data are labelled with the chapter number followed by an alphabetical letter (A–Z) (e.g., 1A, 3C). They will have restricted access during an embargo period (01-08-2026), after which they will become publicly available and can be downloaded individually.

提供机构:
Zenodo
创建时间:
2025-07-16
二维码
社区交流群
二维码
科研交流群
商业服务