The growth from terabytes of 3D imaging data and soon approaching petabytes from material analysis has left the scientists involved with a set of challenges. In particular, the ability to efficiently analyze an ever growing collection of material tomography scans. The MUMMERING research project aims to solve this by providing ability to submit workflows to automate the process of analyzing the collected data. We explore and present our initial design thoughts in this endeavor. This includes a proposal to utilize the IDMC system developed at UCPH to provide an efficient method in terms of scheduling and execution of workflows. Beyond this mere exploration of thoughts about a potential solution for the MUMMERING project, this paper will also we introduce our initial work in providing ubiquitous access to the produced datasets. The aim here is to provide a simple API for loading/storing datasets during an image analysis, by providing this universal data access library (i,e. mig utils). With this we hope to help the non computer scientists involved in defining imaging analysis programs that easily either can executed locally during the experimentation phase or subsequently scheduled by a workflow scheduler.