"Underlying the arguments for data sharing are assumptions that available data will be used or reused by others. However, surprisingly few studies have addressed how and when researchers reuse data they obtain from other researchers." - Christine Borgman, e.a.(1)
Data reuse can be defined as(2) "the use of data collected for one purpose to study a new problem".
Data can also be reused to find out whether a researcher comes to the same conclusions as the data producer. In this case it involves verification purposes. This type of use is discussed in the section Reproducible research.
The authors of the article 'Data Curation for the Long Tail of Science'(3) argue that there are few very large data sets (big sciences) and a 'long tail' of many relatively small data sets from several disciplines. Examples of reuse are easier to find in big sciences because they usually have an infrastructure that holds data management to a high standard. For example: the Hubble telescope.(4) The observations that are conducted with this telescope are expensive and can only be conducted once. This data is reused on a large scale(5):
"The number of science papers written based on Hubble archival data has increased to the point where it has eclipsed the number of papers resulting from new observations."
In the illustration below the red area stands for the publications that were created by reusing existing data.
Examples of reuse of research data can be an incentive for researchers to also make their research data available.
In the cases below, you will find a number of forms and examples of reuse.
Do you have any examples of reused research data? Articles, blog posts, presentations, anecdotes? If so, please share them in the comments.