Construction and implementation of trading framework for laboratory data based on DOSA

Laboratories produce large amounts of data for scientific experiments and management. However, traditional paper recording methods were lost easily and managed difficultly. Paper files took up a lot of space. Even worse, the contents of the document could be easily manipulated. In recent years, with a growing number of experimental projects cooperation between universities and enterprises, many problems have emerged, such as the ownership of experimental data is not clear, and, the data transmitted online is easily leaked. Considering these problems, this study proposes to use data architecture to manage laboratories relevant data. This means that valuable data needs to be protected, packaged and traded as products. DOSA is a data-centric architecture. The advantage of DOSA is that it binds data and ownership together, protects data with key technologies, and enables secure sharing. This research designs the whole transaction process of experimental data products based on DOSA. In this process, all experimental data is protected by encryption technology to ensure its security. This paper proposes a data architecture as a platform to package experimental data into data products for trading and prevent experimental data fraud from the source. Through the SM2 algorithm and the toolbox Gmssl, the problem of data leakage is solved in the process of data product transaction, and the safe circulation and transaction of laboratory data is realized. After using the Python language to encrypt the laboratory data with the tools provided by the data architecture, it can realize the safe and cross-domain sharing of data off the platform.