This paper addresses problem of reuse of data to help data anlysis and enhace data quality. The article describes a process to take over data that come from educational context. This process to reuse TEL data contains: major tasks, identified data properties and a set of quality criteria to reach these data properties. The objective of the process is to evaluate if data are reusable to serve learning analytics. This process is integrated in an existing data life cycle DOP8. The model was elaborated from several works with set of data since 2012 and from interviews with data-scientists. Also, we have administrated an on-line survey with data-scientists to evaluate feasibility of our proposal.