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In high-resolution solar physics, the volume and complexity of photometric,spectroscopic, and polarimetric ground-based data significantly increased inthe last decade reaching data acquisition rates of terabytes per hour. This isdriven by the desire to capture fast processes on the Sun and by the necessityfor short exposure times "freezing" the atmospheric seeing, thus enablingpost-facto image restoration. Consequently, large-format and high-cadencedetectors are nowadays used in solar observations to facilitate imagerestoration. Based on our experience during the "early science" phase with the1.5-meter GREGOR solar telescope (2014-2015) and the subsequent transition toroutine observations in 2016, we describe data collection and data managementtailored towards image restoration and imaging spectroscopy. We outline ourapproaches regarding data processing, analysis, and archiving for two ofGREGOR's post-focus instruments (see http://gregor.aip.de), i.e., the GREGORFabry-Perot Interferometer (GFPI) and the newly installed High-Resolution FastImager (HiFI). The heterogeneous and complex nature of multi-dimensional dataarising from high-resolution solar observations provides an intriguing but alsoa challenging example for "big data" in astronomy. The big data challenge hastwo aspects: (1) establishing a workflow for publishing the data for the wholecommunity and beyond and (2) creating a Collaborative Research Environment(CRE), where computationally intense data and post-processing tools areco-located and collaborative work is enabled for scientists of multipleinstitutes. This requires either collaboration with a data center or frameworksand databases capable of dealing with huge data sets based on VirtualObservatory (VO) and other community standards and procedures.

High-Cadence Imaging and Imaging Spectroscopy at the GREGOR Solar Telescope - A Collaborative Research Environment for High-Resolution Solar Physics