  The emergence of sixth-generation (6G) networks has spurred the development
of novel testbeds, including sub-THz networks, cell-free systems, and 6G
simulators. To maximize the benefits of these systems, it is crucial to make
the generated data publicly available and easily reusable by others. Although
data sharing has become a common practice, a lack of standardization hinders
data accessibility and interoperability. In this study, we propose the Dataset
Storage Standard (DSS) to address these challenges by facilitating data
exchange and enabling convenient processing script creation in a
testbed-agnostic manner. DSS supports both experimental and simulated data,
allowing researchers to employ the same processing scripts and tools across
different datasets. Unlike existing standardization efforts such as SigMF and
NI RF Data Recording API, DSS provides a broader scope by accommodating a
common definition file for testbeds and is not limited to RF data storage. The
dataset format utilizes a hierarchical structure, with a tensor representation
for specific experiment scenarios. In summary, DSS offers a comprehensive and
flexible framework for enhancing the FAIR principles (Findability,
Accessibility, Interoperability, and Reusability) in 6G testbeds, promoting
open and efficient data sharing in the research community.
