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Data Management

24 January 2023
Louvain-La-Neuve
Europe/Brussels timezone

Contribution List

4 out of 4 displayed
  1. 1. Introduction to data storage and access
    Damien François (UCLouvain/CISM)
    24/01/2023, 09:00

    Storing data in an efficient way is very important for many scientific applications. Yet, most of the time, a myriad of small files is used, imposing a large burdun on the file system, spending a lot of time in file access, making transfers very inefficients, etc. Other solutions exist and are presented in this...

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  2. 2. Efficient data storage on CECI clusters
    Ariel Lozano (ULB)
    24/01/2023, 10:45

    The CECI clusters are equipped with different storage solutions that you can use for managing your data.
    Each of them have different properties such as capacity, I/O performance,...

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  3. 3. Open Science and Open Research Data / Data Management Plan
    Jonathan Dedonder (IACCHOS)
    24/01/2023, 14:00

    The growing relevance of Open Science poses challenges to research practices. Open Research Data, which aims to provide free access to research data in order to ensure the reproducibility of scientific results, is one important aspect of Open Science. Research Data Management (RDM), on its side, addresses the entire life cycle of data, covering planning, collection, management, storage,...

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  4. 4. Data versioning
    Damien François (UCLouvain/CISM)
    24/01/2023, 16:00

    Everyone is familiar with code versioning, that allows recalling what modification was implementer in the code, by whom, when, and why. The same idea can be transposed to data, but requires a specific set of tools, and while Git is the de facto standard tool for code, it is not really suitable for data....

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