Track 8 Wed 27 May: How to improve data re-use: from data acquisition to capacity development

Track contributions

Using data iteratively and systematically for evidenced-based decision-making is key. Whereas sharing is important, it is key to advocate for the use of the data lest it is rendered not useful and all of the efforts invested in collecting, collating, curating, and making meaning out of this data are wasted.

Started 11 months ago

This is an important point. Those organisations investing in the resources to generate the data, need to ensure the resultant data are fit for purpose and will support the aniticipated decision making processes. This can be achieved by careful setting of objectives for the data gathering process (e.g. monitoring programme) and frequent review of whether the data gathering activities are meeting expectations. Methods and approaches evolve and many monitoring programmes could benefit from a critical evaluation of all aspects of the programme, not just to ensure that useful data are obtained, but also to ensure resources are being used efficiently.

I also totally agree. Monitoring and rolling review of the different user requirements of the different observations are necessary. Requirements depend on different application areas, e.g. climate or environmental monitoring, water resources management, etc. Requirements also depend on how the data are used in the value chain of providing decision-ready products. E.g. numerous decisions on larger spatial scales are derived from satellite EO and modeling while in-situ observations are key for ground-truthing.  
 It is crucial to advocate the use of data and in this context to bring the entire value chain into the perception. A referencing and appreciation of the original data collectors is of central importance in this respect.