Round Table

Chairs: Martina TROGNITZ | Christoph HOFFMANN, Austrian Academy of Sciences, Vienna, Austria

Description of the round table: With the advent of digital technologies in archaeological research not only the amount of research methods and possibilities has grown, but also the amount of data produced. Project data might add up to the dozens or hundreds of gigabytes or even terabytes and consist of hundreds or thousands of individual files some of which might be exceptionally big.
This poses a variety of challenges to data management, primarily revolving around storage, backup, documentation, archival, and dissemination.
To tackle these, a set of questions has to be answered at the initial stage of the project: How should files be named and structured? How is integrity of data
ensured in remote working areas with limited technical infrastructure? How are backups going to be made? What to do with non-standard, proprietary or exotic
formats?  Some questions become relevant at later stages of the project, when data is going to be opened and disseminated to the public: How to serve
high quality data via a limited bandwidth? How to securely transmit a huge data set? What techniques can be used to find a proper balance between quality and
size of files? What solutions already exist to handle large files? Last but not least the introduction of innovative digitization formats such as 3D – Scans or
Modells requires equally progressive technologies for their sensible Dissemination and display in order to make the materials accessible to the public.
The round table is intended to bring together researchers and repository managers to have a look at data mountains from both the production as well as
the storage or archiving side and find out about common problems and how to approach them.
We invite participants to discuss their experiences with Projects producing and managing a massive amount of data, including best practices, lessons learned, what to avoid, as well as recommendations for technologies and systems to use for data management and dissemination.

Target group: managers, IT officers, researchers

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