Scientific Data Disappears At Alarming Rate, 80% Lost In Two Decades
cold fjord writes "UPI reports, 'Eighty percent of scientific data are lost within two decades, disappearing into old email addresses and obsolete storage devices, a Canadian study (abstract, article paywalled) indicated. The finding comes from a study tracking the accessibility of scientific data over time, conducted at the University of British Columbia. Researchers attempted to collect original research data from a random set of 516 studies published between 1991 and 2011. While all data sets were available two years after publication, the odds of obtaining the underlying data dropped by 17 per cent per year after that, they reported. "Publicly funded science generates an extraordinary amount of data each year," UBC visiting scholar Tim Vines said. "Much of these data are unique to a time and place, and is thus irreplaceable, and many other data sets are expensive to regenerate.' — More at The Vancouver Sun and Smithsonian."
And in 20 years, these results too shall be lost.
Trying to ignore that a paper about the unavailability of scientific data is locked behind a paywall.
This is nothing new though, I do occasional conversion from ancient data formats, people need to pay better attention, imagine trying to read an 8" CP/M floppy today.
As libraries move to digital storage rather than the dead tree that's been fine for thousands of years they are inviting a catastrophe, possibly only one well aimed solar mass ejection from massive data loss.
So the institutions do not have any data lifecycle management for research data. Are we supposed to be surprised? Ensuring that data are not lost is a huge undertaking and cannot be left to the individual researcher. It may also require a change in the research culture at many institutions. As long as research is measured by the publications, that is where the resources go and where the focus will be.
Will this change? Probably not.
... poorly collected unreliable data also vanishes at at least the same rate (hopefully faster). And assuming shoddy data disapears faster than good data, then the quality of available data should continually increase.
I'm a researcher and I don't have time or space to keep old data as I'm generating too much new data. We work hard to maximize the use of these data and analyses when we write and publish papers. If this was talking about the papers (or presentations), that were the product of the data, being lost at this rate it would be one thing, but the raw data isn't usually very useful to anyone without context or knowledge of subtle and poorly documented technicalities. This just seems like ammunition for the climate change deniers to bitch about. It's unreasonable to keep the old data indefinitely without a massive public repository that will be poorly indexed and organized.
Whichever side of the "data is" vs. "data are" argument one falls on, I hope we can all agree that mixing both forms within the same sentence is definitely wrong.
No but it is amazing what NEW science you can do with OLD data. I've worked with the Transportable Array project for example http://www.usarray.org/researchers/obs/transportable it's over a decade old and scientists are still discovering new ways to take advantage of the data and will likely be doing so for decades to come. On the other hand a lot of data is just junk due to poor quality metadata; when was that instrument calibrated? I dunno. Damn. At leat in geophysics we have the National Geophysical Data Center to curate this stuff http://www.ngdc.noaa.gov/ at least until Congress cuts it's funding.
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