SAVE THE DATE: MARBLE Workshop on 15.12.2022

Take advantage of the opportunities offered by our NFDI-MatWerk network and continue your education in the field of metadata.


Workshop: MARBLE - unlock the metadata from your proprietary binary files


Info: The online course will run from 9 am to 12 pm on December 15th.

Registration: The registrations will be open from Nov 21st - Dec 9th 2022. For registration click here

Short description: This workshop introduces the new software tool MARBLE and is geared towards experimental researchers and scientific staff of all career levels.

Using MARBLE you will learn to decipher and extract primary data and metadata encoded in proprietary binary files which are typically created by laboratory instruments. Disscuss with your peers about where proprietary file formats slow down your experimental workflows. Exchange directly with the MARBLE development team and tell us about your challenges around proprietary binary file encodings.

Bring your own binary files and start to deciphering what matters to you most: your own data!

Motivation: Many instruments store primary data and related metadata in proprietary binary files. Even though export pipelines generally exists, they rarely output all metadata and primary data. Thus important parts of the primary data and metadata from your experiment remain inaccessible. Learn how to unlock the full potential of you metadata. During a mixture of lectures, discussions and hands-on sessions we will teach you how to use MARBLE to decipher data from proprietary binary files and store it in an open and accessible format.

You will learn:

  • how to use MARBLE on your own binary files

  • how to create translator files that allow you to batch-extract data from multiple files of the same type

  • about the legal background of the deciphering process

  • about data encoding in binary formats

  • about open and accessible data formats and the importance of standardized semantics for metadata

A workshop jointly organized by HMC Hub Information & NFDI MatWerk located at Materials Data Science and Informatics (IAS-9) @ FZJ & the Institute of energy and climante research (IEK-2) @FZJ


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