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The paper is devoted to the issues of raw binary data documenting, parsingand verifying in astroparticle data lifecycle. The long-term preservation ofraw data of astroparticle experiments as originally generated is essential forre-running analyses and reproducing research results. The selected high-qualityraw data should have detailed documentation and accompanied by open softwaretools for access to them. We consider applicability of binary file formatdescription languages to specify, parse and verify raw data of the TunkaAdvanced Instrument for cosmic rays and Gamma Astronomy (TAIGA) experiment. Theformal specifications are implemented for five data formats of the experimentand provide automatic generation of source code for data reading libraries intarget programming languages (e.g. C++, Java, and Python). These libraries weretested on TAIGA data. They showed a good performance and help us to locate theparts with corrupted data. The format specifications can be used as metadatafor exchanging of astroparticle raw data. They can also simplify softwaredevelopment for data aggregation from various sources for the multi-messengeranalysis.

Using Binary File Format Description Languages for Documenting, Parsing, and Verifying Raw Data in TAIGA Experiment