Open data practices are important toe the reproducibility and replicability of contemporary science. New tools to assist in the processes are developed practically every day.
Why might you want to adapt some of these practices?
- Rigor and reliability. New standards for data and code sharing in fields make it easier for researchers to reproduce and replicate reported work, thereby strengthening scientific rigor and reliability.
- Ability to address new questions. Open science and Reproducible and Replicable practices allows researchers to bring data and perspectives from multiple fields to bear on their work,opening up new areas of inquiry and expanding the opportunities for interdisciplinary collaboration.
- Faster and more inclusive dissemination of knowledge. The increase in open publication accelerates the process of disseminating research and building on results. In addition, it allows for more inclusive participation in research and greater collaboration.
- Broader participation in research. Large-scale projects in fields such as astronomy and ecology are utilizing open data and expanding opportunities for citizen scientists to contribute to scientific advances.
- Effective use of resources. Reuse of data in fields such as clinical research is facilitating the aggregation of multiple studies for meta-analysis and allows for more effective testing of new hypotheses.
- Improved performance of research tasks. New tools enable more accurate recording of research workstreams and automate various data curation tasks.
- Open publication for public benefit. In the case of publicly funded research, the ultimate sponsor is the taxpayer. The public benefits from open science as new knowledge is utilized more rapidly to improve health, protect environmental quality, and deliver new products and services.