Ensuring the Quality of Research Objects in the Earth Science Domain

Research objects were designed in data-intensive science under the premises of interoperability and machine-readability to describe scientific processes and findings including all the resources that were used in the research endeavour. In this poster we present our work with Earth Science communities, that have embraced the research object model for long-term preservation and reuse of knowledge, to design checklists, the main tool available to assess the quality of research objects and upon which quality metrics such completeness, stability and reliability are calculated.