Many government research funding agencies, including those in the US and Europe, now ask grant applicants to proactively plan for data management. With the increasing availability of advanced laboratory technologies that will generate large amounts of data, and more data being captured and analyzed digitally, there has been a shift in how funders and regulators require data to be organized and managed. Science simply cannot progress without proper documentation of how it happens, and regular maintenance of such records. Reasons cited for inaccessible data include assumed loss of data, data stored at inaccessible locations (e.g., their parent’s attic) or with an inaccessible media (e.g., zip or floppy disk).ĭata management has always been an important part of research, regardless of the context. According to a 2014 study published in Current Biology, for the 516 studies between 2 and 22 years old included in the study, the odds of data being available dropped by 17% each year. Imagine trying to repeat an experiment without the original protocol or experimental conditions, to publish a paper without knowing where the data came from, or to file a patent but not showing the proof of who came up with the idea first.Įxcept, these are not just imaginary scenarios, and the loss of data is a very real issue.
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