[Esip-preserve] Stewardship Best Practices

alicebarkstrom at frontier.com alicebarkstrom at frontier.com
Wed Oct 6 08:58:55 EDT 2010


In work I've been doing over the last several weeks,
I believe it's possible to prove that there is no
possibility of "bit-for-bit uniqueness" of Earth 
science data when one considers scientifically
identical data.  On the other hand, it is possible
to directly test for the scientific identity of the
data in two data collections (meaning files, usually,
although the principle could be extended to larger
collections with some work).  This work suggests that
showing authenticity is a matter of demonstrating
equivalence with a chain of tests - and will support
the notion that there may be multiple sources of
authenticity verification, rather than a single verifier of
that property.

Bruce B.
----- Original Message -----
From: "Curt Tilmes" <Curt.Tilmes at nasa.gov>
To: "ESIP Preservation cluster" <esip-preserve at rtpnet.org>
Sent: Wednesday, October 6, 2010 7:25:58 AM
Subject: [Esip-preserve] Stewardship Best Practices

Looking over this a bit:

http://wiki.esipfed.org/index.php/Interagency_Data_Stewardship/Principles

Here are some, perhaps controversial, proposals for addition:

Data Creators:

will release all software used in the processing of data used in
scientific research. Even if the rights to use that software are
restricted it should at least be available for inspection.

will strive for portability in software used in the processing of data
used in scientific to enable independent verification and
reproducibility of results.

Data Intermediaries:

will assign persisent resolvable identifiers for data. (link to
identifiers paper)

will maintain metadata for cited datasets to preserve the integrity of
persisent identifiers, even if the data themselves are deleted due to
obsolesence.

Data Users:

   "will follow any restrictions on redistribution of data that were
    indicated by the data intermediaries."

add software to that one:

will follow any restrictions on usage of software or redistribution of
data that were indicated by the data intermediaries.

Curt
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