Research data is:
The Office of Research Integrity defines research data as:
Following best practices for managing research data are essential throughout the data lifecycle.
This short video, created by the librarians at NYU's Ehrman Health Sciences Library, tells a data management cautionary tale of what should not happen when a researcher makes a data sharing request.
Data management is an essential part of the research process. Many funders, publishers, and institutions have data management and sharing policies. When data is managed well, it is easier to find, analyze, validate, and share. Good data management practices are key for responsible research and reproducibility. When data is managed well, it supports published research. In addition, data sets can be cited, which can enhance your research impact.
NIH has issued a new Data Management and Sharing (DMS) policy, effective January 25, 2023, to promote the sharing of scientific data. This Policy requires researchers to:
NSF Data Sharing Policy states that "investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants."
AHRQ's public access policy states that "digitally formatted scientific data resulting from unclassified research supported wholly or in part by Federal funding should be stored and publicly accessible to search, retrieve, and analyze."
In addition all AHRQ-funded researchers will be "required to include a data management plan for sharing final research data in digital format, or state why data sharing is not possible."
Many journals require data be made available to readers. Here are a few examples.
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