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DCMI Webinar: Andreas Rauber on making dynamic data citable--recommendations of the RDA Working Group

From: DCMI Announce <announce@dublincore.net>
Date: Sun, 5 Apr 2015 06:44:33 -0700
Message-ID: <CAP884Ex6aW7BS-HyotAMg88VUzN+XHJ+hsMvcwmDtmBADOoYWA@mail.gmail.com>
To: public-lod@w3.org
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*DCMI/ASIS&T Joint Webinar:*
*Approaches to Making Dynamic Data Citable: Recommendations of the RDA
Working Group*

==================
*DAY:* 8 April 2015
*TIME:* 10:00am-11:15am EDT (UTC 14:00 - World Clock:
http://bit.ly/Webinar-Andreas_Rauber)
*REGISTRATION:* http://dublincore.org/resources/training/#2015rauber
==================

*Webinar Abstract: *

Being able to reliably and efficiently identify entire or subsets of data
in large and dynamically growing or changing datasets constitutes a
significant challenge for a range of research domains. In order to repeat
an earlier study, to apply data from an earlier study to a new model, we
need to be able to precisely identify the very subset of data used. While
verbal descriptions of how the subset was created (e.g. by providing
selected attribute ranges and time intervals) are hardly precise enough and
do not support automated handling, keeping redundant copies of the data in
question does not scale up to the big data settings encountered in many
disciplines today. Furthermore, we need to be able to handle situations
where new data gets added or existing data gets corrected or otherwise
modified over time. Conventional approaches, such as assigning persistent
identifiers to entire data sets or individual subsets or data items, are
thus not sufficient.

In this webinar, Andreas Rauber will review the challenges identified above
and discuss solutions that are currently elaborated within the context of
the working group of the Research Data Alliance (RDA) on Data Citation:
Making Dynamic Data Citeable. The approach is based on versioned and
time-stamped data sources, with persistent identifiers being assigned to
the time-stamped queries/expressions that are used for creating the subset
of data. We will further review results from the first pilots evaluating
the approach.

*Presenter:*

*Andreas Rauber* is Associate Professor at the Department of Software
Technology and Interactive Systems (IFS) at the Vienna University of
Technology (TU-Wien). He furthermore is president of AARIT, the Austrian
Association for Research in IT and a Key Researcher at Secure Business
Austria (SBA-Research). He is co-chairing the RDA Working Group on Data
Citation together with Ari Asmi and Dieter van Uytvanck.

He received his MSc and PhD in Computer Science from the Vienna University
of Technology in 1997 and 2000, respectively. In 2001 he joined the
National Research Council of Italy ([http://www.cnr.it/sitocnr/home.html
CNR]) in Pisa as an ERCIM Research Fellow, followed by an ERCIM Research
position at the French National Institute for Research in Computer Science
and Control (INRIA), at Rocquencourt, France, in 2002. From 2004-2008 he
was also head of the iSpaces] research group at the eCommerce Competence
Center (ec3).
Received on Sunday, 5 April 2015 13:45:01 UTC

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