Merging such derived data, possibly even from different experiments, with traditional materials' characterization across multiple samples while tracking their synthesis and processing history alongside necessitates a careful data management. Electronic lab books , integrated work-flow environments , structured material databases , and flexible data sharing platforms cover some, but not all aspects. The barriers between them effectively limit data-driven material's design.