# Rates and predictors of data and code sharing in the medical and health sciences: Protocol for a systematic review and individual participant data meta-analysis.

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/rates-and-predictors-of-data-and-code-sharing-in-the-medical-and-health-sciences/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Daniel G. Hamilton,Hannah Fraser,Fiona Fidler,Steve McDonald,Anisa Rowhani-Farid,Kyungwan Hong,Matthew J. Page |
| Citations | 12 |
| DOI | 10.12688/f1000research.53874.2 |
| Fields | Computer Science,Decision Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://f1000research.com/articles/10-491/v2/pdf |
| OpenAlex ID | https://openalex.org/W3176904908 |
| PMID | 34631024 |
| Type | review |
| Year | 2021 |

## Paper authors

- [Anisa Rowhani-Farid](https://scholariq.org/researchers/anisa-rowhani-farid/)

## Paper journal

- [F1000Research](https://scholariq.org/journals/f1000research/)

## Paper primary topic

- [Scientific Computing and Data Management](https://scholariq.org/topics/scientific-computing-and-data-management/)

## Paper topics

- [Scientific Computing and Data Management](https://scholariq.org/topics/scientific-computing-and-data-management/)
- [Research Data Management Practices](https://scholariq.org/topics/research-data-management-practices/)
- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.