From: anti...@googlegroups.com
To: Digest recipients [mailto:anti...@googlegroups.com]
Sent: Tue, 15 Jul 2014 22:15:15 +0200
Subject: [Antiquist] Digest for anti...@googlegroups.com - 2 updates in 1 topic
Group: http://groups.google.com/group/antiquist/topics
- Big Data [2 Updates]
Stuart Dunn <stuar...@kcl.ac.uk> Jul 15 03:35PM +0100
Hello all,
I am currently looking for any references that discuss the general theme
of archaeology and Big Data. The Wikipedia definition seems as good as
any other:
"Big data is a blanket term for any collection of data sets so large and
complex that it becomes difficult to process using on-hand data
management tools or traditional data processing applications"
I know there were a few projects funded under the aegis of the UK
e-Science Programme a few years ago (ADS, Birmingham and Reading), but
most of these were about clever(er) infrastructure for dealing with
'small data' in better ways. E-Science, by the way, was a similarly
blanket (c.f. amorphous) term, but seemed to be more about centralized
processing services which assumed very large (terascale) datasets, and
less about data produced from the ground up.
So my question is - is there really any individual data-oriented
problems in archaeology where the data is really so big that it can't be
processed (whatever that means) using 'on-hand data management tools or
traditional data processing applications'?
Examples/references would be very useful, onlist or off.
Many thanks in advance,
-Stuart
--
---------------------------------
Dr. Stuart Dunn
Lecturer
Centre for e-Research, Department of Digital Humanities
King's College London
26-29 Drury Lane
London, WC2B 5RL
Email: stuar...@kcl.ac.uk
Tel. +44 (0)20 7848 2709
Fax. +44 (0)20 7848 2980
Blog: http://stuartdunn.wordpress.com
Kayt Armstrong <girlwit...@gmail.com> Jul 15 04:03PM +0100
Hi Stuart,
In the geophysics community you might want to look at the work of the LBI:
http://archpro.lbg.ac.at/
Technological advances mean that we can currently collect far more data
(and it's properly Big Data - terrabytes) than we have tools to efficiently
process, and I know these guys are working on solutions for dataflow and
processing.
Kayt
--
Dr Kayt Armstrong
girlwit...@gmail.com
+44 (0) 7896076702