Reproducible and open science
- Abstract number
- 447
- DOI
- 10.22443/rms.mmc2023.447
- Corresponding Email
- [email protected]
- Session
- Reproducibility of Data Analysis at Scale
- Authors
- Dr Rachael Ainsworth (1)
- Affiliations
-
1. University of Manchester
- Abstract text
Making research results more accessible and reproducible can contribute to better and more efficient science, however widespread adoption of open research practices has not yet been achieved. Funding agencies are increasingly requiring research products (such as data, code and publications) to be made openly available in order to make results more accessible, transparent and reproducible. Recent studies have also shown that open research practices are associated with benefits to the researcher such as increases in citations, media attention, potential collaborators, job and funding opportunities. In this talk I will discuss the different aspects of Open Science, the barriers we face to practicing openly, how to get started using open and transparent data and software services in order to open up your research workflow and reap the benefits associated with open research practices.