Enabling Data Legitimacy in Data-Driven Projects

In the last decade, Science has been faced with an enormous amount of data from a wide range of sources, such as the Internet, social media, IoT devices, and so on. Increasingly it is essential to develop methods and tools that enable the most varied forms of understanding of the data and transformation processes involved in an experiment. The veracity dimension plays an essential role in meeting these needs, and it must be incorporated into a data management process. This paper presents a proposal of an architecture model for a Data Portal that provides users the ability of assessment of the legitimacy of datasets. Legitimacy consists of the communication of decisions in the construction of computational models and the provenance of the data. We present the proposed architecture and how it can be embedded in scientific data portals.