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Colloquium of the Faculty of Engineering, October 21, Prof. A. Rauber, TU Vienna, "Sustainable eScience: Preserving Data, Processes and Context"

Colloquium of the Faculty of Engineering, October 21, Prof. A. Rauber, TU Vienna,  "Sustainable eScience: Preserving Data, Processes and Context"

Prof. Andreas Rauber

Date: Monday, October 21, 2013
Time: 16:00
Place: Faculty of Engineering, Georges-Köhler-Allee 101, 79110 Freiburg,
Building 101, Room 02 016/18
(2nd floor)

Abstract

"Sustainable eScience: Preserving Data, Processes and Context"

With the advent of data-driven science (also referred to as the Fourth Paradigm, Big Data, etc.), the need to saveguard the investments made into collecting and preparing massive amounts of data (some of which is unrecoverable) has drastically gained importance. Providing digital preservation of research data is thus emerging as a service that has to be provided by sophisticated research infrastructure frameworks. Yet, with the complexity of research processes increasing, the needs for preservation stretch beyond merely maintaining data accessible. Capturing and documenting the context of its creation and use is an enourmous task, requiring sophisticated representation information networks. Even more challenging, complex processes are an integral part of data provenance. We thus also need to capture, preserve, and maintain usable a series of data processing routines and modules in order to be able to establish the validity of scientific analyses, to repeat earlier computations on new data, in short to make full use of the opportunities offered by data-intensive science.

Last, but not least, identifying and being able to cite subsets of data used in specific settings when the data itself is evolving (growing, changed/corrected), provides its own set of challenges.

This talk will start with a brief introduction to digital preservation problems and solutions. We will then proceed by taking a look at some specific challenges in eScience before moving on to solutions and open issues. Specifically, we will take a look at approaches to capturing and describing the context of artifacts to be preserved in research settings, means for evaluating the success of applying preservation actions, and present approaches to making high-volume, dynamic data citable at arbitrary subset levels. These results stem from a number of on-going research projects in our group, specifically collaborative projects under the 7th Framework program of the EC (TIMBUS, APARSEN, SCAPE), BenchmarkDP, and activities within the Research Data Alliance (RDA).

Short CV - Herr Prof. Dr. A Rauber

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 Honorary Research Fellow in the Department of Humanities Advanced Technology and Information Institute (HATII), University of Glasgow. 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 (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).

In 1998 he received the ÖGAI Award of the Austrian Society for Artificial Intelligence (ÖGAI), and the Cor-Baayen Award of the European Research Consortium for Informatics and Mathematics (ERCIM) in 2002. He has published numerous papers in refereed journals and international conferences and served as PC member and reviewer for several major journals, conferences and workshops. He is a member of the Association for Computing Machinery (ACM), The Institute of Electrical and Electronics Engineers (IEEE), the Austrian Society for Artificial Intelligence (ÖGAI). He serves on the board of the IEEE Technical Committee on Digital Libraries (TCDL), and was a member of the DELOS Network of Excellence on Digital Libraries as well as the MUSCLE Network of Excellence on Multimedia Understanding through Semantics, Computation and Learning.

His research interests cover the broad scope of digital libraries and information spaces, including specifically text and music information retrieval and organization, information visualization, as well as data analysis, neural computation and digital preservation.

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