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.
thats okay, the nsa has a backup
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.
> many other data sets are expensive to regenerate...
Or maybe impossible to regenerate (for certain values of impossible). I remember reading a classified technical report (dating from the 1940s) related to military life-jacket development, wherein the question arose as to whether a particular design would reliably turn an unconscious person face-up in the water. The experimental design used was to dress some servicemen (sailors, possibly, but I don't recall) in the prototype design, anaesthetise them and drop them in a large body of water, checking for face-down floaters to disprove the null hypothesis. Somehow, I don't think that those data are going to be regenerated any time soon. I hope to God not, anyway.
The Long Now Foundation has devised an interesting mechanism for storing important information which, although not optimal for machine readability, is dense and has an obvious format: a metal disk etched with microprinting, whose exterior shows text getting progressively smaller as an obvious way of saying "look at me under a microscope to see more":
http://rosettaproject.org/
I highly recommend reading The Clock of the Long Now if you're interested in the theory and practice of making things last.
Koans and fables for the software engineer
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.
-73, de n1ywb
www.n1ywb.com
Our scientific research system is built around the process of joining a lab, mastering the work there, and then leaving. There are very few long term research partnerships. The people who stay in place are the professors, who generally do not do the research work.
So you join a lab, produce a few terabytes of data a year, pull a few publishable nuggets out of that and then leave. I have a few backup hard drives that move around with me with what I consider my most important data, probably total 1/10 of the data I have taken. After a few years, this data is really unimportant to me as the labs I have left have done a good job of continuing the research and I have to spend my time and money on something else.
The original data is eventually overwritten by researchers a few "generations" removed from me and that's the end of it.