Publications
Sharing begins at home: How continuous and ubiquitous FAIRness can enhance research productivity and data reuse
Abstract
Media Summary Imagine that you are presented with a crowded attic full of boxes of family photos and asked to assemble an accurate photographic record of some relative’s life. Most would find such a task extremely difficult. Researchers face similar challenges when attempting to comply with the data-sharing mandates that funding agencies and journals are increasingly enforcing. As they prepare a publication, they seek to assemble the data on which their results are based, but often find that these data are hard to identify, being distributed over different storage systems and labeled in ways that made sense when data was saved, but that convey little information today. Thus the data that they ultimately share are often incomplete or even inaccurate. As scientific progress depends on the ability to reproduce published research results, this situation is more than unfortunate. We suggest that this gap between intent …
Metadata
- publication
- Harvard data science review 4 (3), 2022
- year
- 2022
- publication date
- 2022/7/28
- authors
- William Dempsey, Ian Foster, Scott Fraser, Carl Kesselman
- link
- https://pmc.ncbi.nlm.nih.gov/articles/PMC9410569/
- resource_link
- https://pmc.ncbi.nlm.nih.gov/articles/PMC9410569/
- journal
- Harvard data science review
- volume
- 4
- issue
- 3
- pages
- 10.1162/99608f92. 44d21b86