WP4: Evaluation of Success

In WP 4 an evaluation framework will be developed for 1) assessing the performance of new data science methods in SMART Monitoring and data exploration, 2) assessing the added value of applying

these new data science methods in Earth System science for creating new scientific knowledge (-> Show Cases). The potential transfer of Digital Earth knowledge and technologies to society will be assessed in Task 3.3.

First the requirements of earth system research for new data science methods will be identified. From this, criteria and indicators for evaluating the performance of data science methods and their added value for creating new scientific insights will be derived. This will be based on existing surveys and standards (e.g. Faundeen 2017, Kempler & Mathews 2017, Otto et al. 2016), and will be extended to specific advances in the frame of Digital Earth. Also the interdisciplinary research process for integrating data science and earth system science will be monitored and evaluated (e.g. Ebert-Uphoff, 2017). The evaluation framework and the evaluation itself will be developed along the three following tasks.

WP4 Tasks

Task 4.1 Requirement identification for scientific use and evaluation criteria definition

[HZG, AWI, FZJ, GEOMAR, GFZ, HMGU, KIT, UFZ]

Task 4.2 Usability assessment of workflows, methods, and software

[HZG, AWI, FZJ, GEOMAR, GFZ, HMGU, KIT, UFZ]

Task 4.3 Assessing the success of the project for gaining new scientific insight

[KIT, AWI, FZJ, GEOMAR, HMGU, HZG, GFZ, UFZ]