This chapter outlines a practical, standards-based approach to planning, conducting, and reporting research in maxillofacial surgery. It defines the purposes and audiences of scholarship across randomized trials, observational studies, diagnostic accuracy research, case work, technical notes, reviews, and protocols, and links each to its appropriate reporting framework. Within an IMRaD+ architecture, we detail prespecification of objectives and outcomes, transparent description of complex interventions, bias control, sample-size justification, and analytic choices that prioritize estimation and decision relevance. Guidance is provided for numerical reporting of results, adverse-event documentation, and creation of figures and flow diagrams that faithfully represent data. The chapter summarizes essentials of data stewardship (FAIR), common statistical pitfalls in clustered and longitudinal designs, and evaluation of prediction and diagnostic models, including calibration and clinical utility. Media-specific sections cover standardized clinical photography, cephalometric and 3D morphometric reporting, DICOM-centric workflows, segmentation, CAD/CAM, and 3D printing. We also address language and nomenclature, inclusive and precise sex/gender reporting, contributor roles, funding and conflicts, data/code availability statements, and responsible use of AI tools. The objective is to provide maxillofacial researchers and trainees with a concise, actionable template that improves rigor, transparency, and reuse while enabling synthesis into trustworthy guidance for patient care.