At Women in Data Science (WiDS) Regensburg, we presented our poster, Provenance-Aware Gap Imputation for Time Series Data. The poster introduces an approach that combines time series gap imputation with provenance information, making it transparent which values originate from the original measurements and which have been generated during the imputation process. This improves the transparency, reproducibility, and trustworthiness of downstream data analyses.
The poster is openly available on Zenodo: https://zenodo.org/records/20700091 (externer Link, öffnet neues Fenster). More information about the WiDS Regensburg event is available at https://www.wids-regensburg.de (externer Link, öffnet neues Fenster).
