Space data: specificities and lifecycle

This module describes space data from experiment design to long-term preservation and reuse. It emphasises the need of a data management plan as required by NASA and other agencies since proposal level.

The data flow from acquisition to the scientific products is described, as well as the different standard formats and the possible evolution of science objectives during the duration of a space mission.  These formats include compliance with standards such as the space agencies CCSDS (Consultative Committee on Space Data Standards) and the E.U. INSPIRE directive for geolocalised data.

Examples of failures and successes in data management plans will be presented, together with the way the PERICLES concept would have avoided these failures.

The student will learn that space data is far from simply being a table of time-tagged numbers, and will learn to manage this complexity.

Intended target audiences
  • The module’s target audience can range from future and early career space scientists to curators of digital data.
  • The module could be of interest to curators of big data in other sciences than observation sciences.
  • Due to space data specificities, it is less suited for students in the humanities and curators of data that were not originally digital.
Expected learning outcomes for the whole Module Students will gain the capability to draft a data management plan and understand the requirements of funding agencies in terms of data management.
Level of advancement/ prerequisites Graduate level with basic knowledge of digital data representation.
Parts in the Module
  1. Space data: history
  2. Space project phasing: data levels and data use
  3. Examples of past failures in data management
  4. An example of success: LANDSAT
  5. Solutions: data standards and data management plans
  6. Examples of semantic change in space data
  7. Conclusion: Data life cycle after the decommissioning of the space segment.
Estimated time required for completion of the module  The approximate time to complete the entire module is 70 minutes.