Conference Presentation (After Call)

FZJ-2024-06833

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Towards more structured long-term data archiving

Stiele, H. (Corresponding author)FZJ* ; Manzano, C.FZJ* ; Miskolczi, A.FZJ* ; Pfalzner, S.FZJ* ; Fieseler, T.FZJ* ; Vybornov, V.FZJ*

2024

Abstract: At the moment, the long-term archive sites do not have knowledge about the (scientific) content of the observations that are stored. If we know, e.g. which observations belong from an observational and astrophysical point of view together, it may be possible to archive these data on the same tape, minimising the costs in time and energy to retrieve them. As with the upgrade to LOFAR 2.0 it is also foreseen to save advanced data products it will be necessary to store the data in a comprehensible way so that it is clear which data sets of different levels belong together. Based on this information, we would like to build a knowledge tree that in the end would e.g. allow to suggest to observers other archived observation that cover similar objects. Such a structure will also help to provide data according to the FAIR principles and facilitate reuse in the age of multi-wavelength astronomy.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. 5121 - Supercomputing & Big Data Facilities (POF4-512) (POF4-512)
3. Big Bang to Big Data - B3D [NRW-Cluster für datenintensive Radioastronomie] (PROFILNRW-2020-038B) (PROFILNRW-2020-038B)

Appears in the scientific report 2024

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