September 8, 2021
First half day will be first dedicated to a theoretical approach of Research Data Long Term Preservation (RDLTP) through perspectives significance for Data Governance and Data Quality Assessment, for Open Science requirements and for the entire Research Data Life Cycle. The lesson will then focus on Research Data backup and archiving processes with an overview of LOCKSS (Lots of Copies Keep Stuff Safe) and other preservation architectures. Second half of the day will be devoted to an interactive lesson on the OAIS (Open Archival Information System) standard, with general discussion, and finally include a demonstration of the Swiss national Research Data repository OLOS.
July 25, 2019
The day will be first dedicated to a theoretical approach of Research Data Long Term Preservation (RDLTP) through perspectives significance for Data Governance and Data Quality Assessment, for Open Science requirements and for the entire Research Data Life Cycle. The lesson will then focus on Research Data backup and archiving processes with an overview of LOCKSS (LOts of Copies Keep Stuff Safe) and other preservation architectures. Second half of the day will be devoted to an interactive lesson on the OAIS (Open Archival Information System) standard, with general discussion, and finally include a demonstration of the Swiss national Research Data repository OLOS.
July 25, 2019
This training has the purpose to bring knowledge, tools, resources and facilities to researchers or any person practicing Research Data Management (RDM) in the specific cases of researches based on qualitative data. Global RDM concepts as FAIR Principles, Open Research Data or the Data Life-Cycle will be addressed, and practical considerations like Data Management Plan conception and funding demand will be directly related to qualitative data management.
July 25, 2019
This training day will be dedicated to Research Data Management in the case of researches dominated by the use of quantitative data. Practice characteristics and appropriate tools will be studied for the different research data life-cycle steps. Also, the impact of quantitative data on the creation of data management plans will be part of the lessons. Three different workshops will take place during the day, respectively dedicated to quantitative data capture with REDCap, global quantitative data management with Renku and reuse of quantitative data from open research data repositories.