Educause Security Discussion mailing list archives
Re: NSF Data Management Plans
From: Steve Brukbacher <sab2 () UWM EDU>
Date: Mon, 30 Aug 2010 13:19:00 -0500
Hi Joe,Thanks for the very thoughtful response. You gave me a lot to think about and to discuss with our group. The goal for us right now is to figure out what we'll need to provide for researchers so they are able to comply with the NSF's data sharing requirements. They are/will be requiring "data management plans" in order to gain NSF funding for research. This is being driven by the open government directive (NSF's plan for complying with this is documented here)
http://www.nsf.gov/pubs/2010/nsf10049/nsf10049.pdfMy challenge right now, and I suspect the challenge of many other higher ed security professionals, is evident on p. 4. where they state that the goal is to make data as widely available as possible. However, we know that there are criteria for data security and privacy on a number of levels. I haven't seen much mention by the NSF regarding the need to be sensitive to privacy needs while complying with the open government directive. We've also not been able to get a solid answer from them in form of a template or the questions that need to be answered in one of these plans, although I'm told that there is an immediate need for this information.
My main focus will be a simple one: security standards and compliance requirements such as those in HIPAA, for example, still apply in addition to the need for broader data publication.
Related to this, Educause is hosting an Educause Live session based on work being done at Princeton
http://net.educause.edu/content.asp?SECTION_ID=554 -- Steve Brukbacher, CISSP Information Security Officer University of Wisconsin Milwaukee www.security.uwm.edu Direct Phone: 414.229.2224 Security Office: 414.229.1100 On 8/5/10 4:31 PM, Joe St Sauver wrote:
Steve Brukbacher<sab2 () UWM EDU> mentioned (in connection with new required
NSF data sharing plans):
#The changes are designed to address trends and needs in the modern era
#of data-driven science. "Science is becoming data-intensive and
#collaborative," notes Ed Seidel, acting assistant director for NSF's
#Mathematical and Physical Sciences directorate. "Researchers from
#numerous disciplines need to work together to attack complex problems;
#openly sharing data will pave the way for researchers to communicate and
#collaborate more effectively."
#
#We're looking at how to assist researchers with this. Has anyone
#established any security strategies related to this new requirement?
I could see a number of different aspects to that question. Are you
primarily concerned about:
-- research dataset provenence and integrity (in a nutshell, how do I
know that the dataset I think I just retrieved is the one that I
think it is, and that it hasn't been accidentally or intentionally
altered since it was created? Yes, you could checksum the file, but
is that enough?)
-- dataset documentation (getting a dump of a dataset doesn't do much
good if you don't know how the data was collected and coded,
including any inherent limitations to the data, etc. -- in the bad
old days when I was providing statistical research support for
faculty members and grad students, I have to admit that I
occaisionally saw datasets received from offsite that suffered from
woefully incomplete and insufficient documentation (presumably
because some researchers are like bad programmers, deferring
documentation until they "get a couple of minutes," only to never
have that quiet time actually turn up).
-- or was it more a matter of insuring you simultaneously protect any
sensitive data elements (such as human subjects data) while also
meeting the NSF's new open access requirements (e.g., questions
about how to handle data anonymization schemes, access control
and logging, or related sorts of things)?
-- other sites might be interested in monitoring data assets for
abuse and misuse (conceptually imagine a dataset released
for non-profit research use (only), which subsequently gets
commercially exploited without permission) -- obviously it
can be tricky to find and prove these sort of things, although
reportedly some information providers have been known to "salt"
things like maps with harmless but non-existent features
they've made up -- if you have the bad luck to blindly copy
the fictitious feature, well, they arguably have you dead to
rights
-- potentially some research data might be export controlled, and
some sites might want to insure that they don't inadvertently
allow proscribed foreign nationals access to export controlled
information
-- librarians and archivists take a unique long term view, worrying
about accessibility and usability of information assets decades or
even centuries in the future, and have been known to insist on
multiple distributed copies of information assets for redundancy
and survivability in the event of adverse events (whether that's
fire, flood, institutions going out of business, people getting
rid of their last 9 track tape drives or 8" floppy drives, spinning
media crashing or non-archival magnetic media deteriorating over
time, etc.)
-- Or is your query specific to system and network security-related
datasets that your researchers may be working with? (If the later,
I'd mention that we'll be having the 2nd Data Driven Collaborative
Security Workshop for High Performance Networks later this month,
and as you might expect from the title, methodological and
substantive data-driven collaborative sharing issues relating to
security data will likely be "center stage" during those sessions,
as they were for the first DDCSW last year, see
http://security.internet2.edu/ddcsw/ )
Anyhow, love to hear more about the specific areas related to this
topic that you or others may be particularly interested in... I think
it's a fascinating (but potentially immense) topic, so narrowing in
on the particular aspects you're most interested in would probably
be a key first step.
Regards,
Joe St Sauver (joe () oregon uoregon edu or joe () internet2 edu)
Internet2 Security Programs Manager
http://www.uoregon.edu/~joe/
Current thread:
- NSF Data Management Plans Steve Brukbacher (Aug 05)
- <Possible follow-ups>
- Re: NSF Data Management Plans Joe St Sauver (Aug 05)
- Re: NSF Data Management Plans Steve Brukbacher (Aug 30)
