  Modern large-scale astroparticle setups measure high-energy particles, gamma
rays, neutrinos, radio waves, and the recently discovered gravitational waves.
Ongoing and future experiments are located worldwide. The data acquired have
different formats, storage concepts, and publication policies. Such differences
are a crucial point in the era of Big Data and of multi-messenger analysis in
astroparticle physics. We propose an open science web platform called
ASTROPARTICLE.ONLINE which enables us to publish, store, search, select, and
analyze astroparticle data. In the first stage of the project, the following
components of a full data life cycle concept are under development: describing,
storing, and reusing astroparticle data; software to perform multi-messenger
analysis using deep learning; and outreach for students, post-graduate
students, and others who are interested in astroparticle physics. Here we
describe the concepts of the web platform and the first obtained results,
including the meta data structure for astroparticle data, data analysis by
using convolution neural networks, description of the binary data, and the
outreach platform for those interested in astroparticle physics. The
KASCADE-Grande and TAIGA cosmic-ray experiments were chosen as pilot examples.
