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We propose a data format for Monte Carlo (MC) events, or any structural data,including experimental data, in a compact binary form using variable-sizeinteger encoding as implemented in the Google's Protocol Buffers package. Thisapproach is implemented in the so-called ProMC library which produces smallerfile sizes for MC records compared to the existing input-output libraries usedin high-energy physics (HEP). Other important features are a separation ofabstract data layouts from concrete programming implementations,self-description and random access. Data stored in ProMC files can be written,read and manipulated in a number of programming languages, such C++, Java andPython.

Next generation input-output data format for HEP using Google's protocol buffers