datasets in Kelty, Bodo & Allen 2018


itutions of solidarity. The embrace of privilege—
marked by misogyny, racism and xenophobia—this has catalyzed
is nowhere more evident than in the climate denialism of the
Trump administration. Guerrilla archiving of US government
climate change datasets, as recounted by Laurie Allen,
indicates that more technological innovation simply won't do
away with the 'post-truth' and that our institutions might be in
need of revision, replacement and repair.
As the contributions to this pamphlet indicate, the


of efficiency, austerity, and transparency,
our daily activities are measured, profiled, packaged, and sold to the highest bidder.
But in this process of quantification, knowledge on ourselves is lost for us, unless we
pay. We still have some patchy datasets on what we do, on who we are, we still have
this blurred reflection in the data-mirrors that we still do control. But this path of
self-enlightenment is quickly waning as less and less data sources about us are freely
available to us.

22

Own Nothin


heck the authenticity of
other copies. The data was not easily pulled out of systems
as the data and the software that contained them were often
inextricably linked. We were dealing with unique, tremendously
valuable, but often difficult-to-untangle datasets rather than
neatly packaged publications. The workflow we established
was designed to privilege authenticity and trustworthiness
over either the speed of the copying or the easy usability of
the resulting data. 2 This extra care around authenticity w


a
range of fields (Caswell 2016).

¹ At the time of this writing, we are working
on un-packing and repackaging the data
within Data Refuge for eventual inclusion
in various Research Library Repositories.

Ideally, of course, all federally produced
datasets would be published in neatly
packaged and more easily preservable
containers, along with enough technical
checks to ensure their validity (hashes,
checksums, etc.) and each agency would
create a periodical published inventory of
datasets. But the sit

 

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