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This paper aims to describe the development of a knowledge management system (KMS) for the Nadir and Occultation for Mars Discovery (NOMAD) instrument on board the ESA/Roscosmos 2016 ExoMars Trace Gas Orbiter (TGO) spacecraft. The KMS collects knowledge acquired during the engineering process that involved over 30 project partners. In addition to the documentation and technical data (explicit knowledge), a dedicated effort was made to collect the gained experience (tacit knowledge) that is crucial for the operational phase of the TGO mission and also for future projects. The system is now in service and provides valuable information for the scientists and engineers working with NOMAD.

The NOMAD KMS was built around six areas: official documentation, technical specifications and test results, lessons learned, management data (proposals, deliverables, progress reports and minutes of meetings), picture files and movie files. Today, the KMS contains 110 GB of data spread over 11,000 documents and more than 13,000 media files. A computer-aided design (CAD) library contains a model of the full instrument as well as exported sub-parts in different formats. A context search engine for both documents and media files was implemented.

The conceived KMS design is basic, flexible and very robust. It can be adapted to future projects of a similar size.

The paper provides practical guidelines on how to retain the knowledge from a larger aerospace project. The KMS tool presented here works offline, requires no maintenance and conforms to data protection standards.

This paper shows how knowledge management requirements for space missions can be fulfilled. The paper demonstrates how to transform the large collection of project data into a useful tool and how to address usability aspects.

Besides the technological challenge of flying a space probe for ten years before arriving at the final mission destination, one is confronted with a potential loss of knowledge during this period. The purpose of this paper is to give an overview of the general knowledge management applied for such a mission. It aims to give details for a new approach, the video approach, to capture expertise knowledge of engineers and scientists.

The video approach included the visit of all instrument teams for several days, executing interviews with engineers, technicians and scientists. During the interviews a table of content (/toc/) with attached keywords was generated. The final video was transferred into a computer‐readable form and connected with the table of content. The methodology that was used to prepare and execute the interviews, the final video material and the storage and structure of the table of content and keywords is presented.

The experimenter interviews and the follow‐up work are finished. The paper finds that feedback received so far is positive and some experimenter teams use the approach for internal work.

The existing videos are not integrated into the existing standard office environment. Another technology step needs to integrate video capture, search and play into the existing, e.g. document processing, environment. The quality of the approach is difficult to estimate as the captured information might only be used in the years to come.

Proof of concept is given and lessons‐learned listed.

An new approach is documented giving technical implementation, setup, execution and approach details. Suitable as a reference paper for any organization with similar knowledge management requirements.