Authors: Vera Chiquet; orcid.org/0000-0001-5925-2956, vc@virtualculture.ch Marian Clemens Manz; orcid.org/0000-0002-4408-7107, marianclemes.manz@unibas.ch Organization(s): 1: Virtual Culture GmbH, Switzerland; 2: University Basel, Switzerland www.virtualculture.ch This poster is licensed under CC BY SA 4.0. The Digital Humanities Lab of the University of Basel, Virtual Cul- ture, and the Digital Museum of Learning, an Initiative of the Ja- cobs Foundation realized a collaborative photogrammetry project. Digital Capacity Building for GLAMs References: Sapirstein, P. (2018). A high-precision photogrammetric recording system for small artifacts. Journal of Cultural Heritage, 31, 33–45. https://doi.org/10.1016/j.culher.2017.10.011. Tan, P. (2020). Image-Based Modeling. In Computer Vision (S. 1–4). Springer International Publishing. https://doi.org/10.1007/978-3- 030-03243-2_11-1. Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., & Reynolds, J. M. (2012). ‘Struc- ture-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179, 300–314. https://doi. org/10 1016/j geomorph 2012 08 021 In recent times, museums have endeavored to present themselves as insti- tutions that are committed to promoting public education. In light of this, it is essential that they adopt measures that prioritize the expansion of their outreach and visibility, as well as the exhibition of their collections and dis- semination of knowledge. Currently, digital methods are the primary means of achieving these goals. The optimal utilization of digitized materials in this process involves meeting various standards, which enable their application not only in research contexts but also in other museum-related activities such as marketing and education. While sizable cultural heritage institu- tions possess the requisite financial and human capital to facilitate internal digitization workflows and efforts or engage third-party service providers for support, their smaller counterparts lag behind in this regard. Image-based modeling, also known as photogrammetry or structure from motion photogrammetry (SfM), has become a ubiquitous technique for creating 3D models of cultural heritage. Today’s use of highly efficient algorithms, including SfM, multi-view stereo, mesh reconstruction, and texture synthesis, and accessible user interfaces in both commercial and open-source software packages have made it possible to convert 2D image data into textured 3D models in an easy-to-use, flexible, and cost-effective manner. As a result, photogrammetry is a particularly suitable method for cultural heritage digitization in GLAM institutions, as it offers a viable alternative to the purchase of expensive laser and light scanning systems. The effectiveness of SfM software is largely dependent on the pixel data extracted from imported source files, highlighting the critical role that 2D photographic image quality plays in the creation of high-fidelity 3D models. Therefore, the development of 3D guidelines for the creation of 3D models using photogrammetry should focus not only on the processing of the data, but also on the acquisition process. To achieve this, researchers from the Digital Humanities Lab at the University of Basel created a prototype and documented each step of the acquisition and processing. The resulting guidelines were formulated and communicated in text form, supplemented by images and videos to ensure their clarity and accessibility. By providing detailed instructions and best practices for data acquisition and process- ing, these guidelines can help ensure the quality, accuracy, and usability of photogrammetry-generated 3D models. Photogrammetry DIY on research quality level Initiative and Goal Designing digital exhibitions, with a focus on education in the con- text of schools and children to reach a larger audience, is one of the tasks that the Digital Museum of Learning, an initiative of the Jacobs Foun