Research data management of large scale projects and a reference model of data life cycle for dynamic DMPs.

Good research data management (RDM) is an integral part of high quality modern research activities. It is not only crucial for the ongoing research and its claims but also for the future uses of the same data and its understanding by the other users. RDM also helps to achieve transparency, repeatability, and reusability goals. FAIR is one of the set of principles to instruct good data management. Different systems and services are being developed and proposed to comply with such principles. The data and its metadata are often handled in file system like structures. The information relating to the data handling are documented in data management plan (DMP). DMPs are made available in editable document formats as well as online free-text editable forms which users are required to keep updating manually. DMP is also usually managed in the similar file structures and it has no common understanding and consistency. It also lacks machine readability. In this paper the case of research data
management of large scale interdisciplinary projects of architecture and civil engineering is being presented. This paper also presents a reference model of data lifecycle for dynamic data management plans. The presented approach enables modularisation of DMPs as well as mapping between the data and the corresponding DMP to assist users.