Open Resource & Data

The AMAAZE Consortium provides a dynamic, open-access platform where researchers, educators, and the broader public can explore and engage with data, software, and protocols, all created by our partner labs and members. Our materials include 3D models, imaging datasets, code, and detailed workflows which are shared to promote transparency, reproducibility, and community benefit.

Whether you’re a researcher seeking replicable workflows and data, an educator looking for interactive resources, or simply curious about research being done at this multi-disciplinary intersection, you are welcome here. We encourage contributions from our global researcher community. We invite you to join AMAAZE and to submit your datasets, tools, or protocols and join the collaborative effort to amplify impact and advance knowledge.

Rather than serving as a data repository, AMAAZE acts as a shared hub where contributors can showcase and link to their datasets, protocols, and tools hosted across institutional and public platforms.

Our goal is to make digital anthropology discoverable, transparent, and reusable by:

• Highlighting partner projects and data collections hosted in external repositories (e.g. DRUM, MorphoSource, GitHub)

• Providing open protocols that model reproducible workflows

• Encouraging responsible data sharing across disciplines and institutions

Each resource shared through AMAAZE remains under the stewardship of its originating lab or organization. By linking these efforts, the consortium strengthens collaboration and promotes access to high-quality research data for the global community.

Explore the sections below to access shared collections, protocols, and collaborative tools.

Open Protocols for Digital Applications in Anthropology

Created in partnership between Science and Social Studies Adventures (SASSAk12) and AMAAZE-labs, this collaborative initiative documents and shares the workflows used to generate, manage, and distribute AMAAZE-labs research methods and data. Each guide, authored by SASSAk12 PREP Fellows with support from AMAAZE-labs and SASSAk12 mentors, translates complex digital imaging and data-sharing methods, such as 3D scanning, model processing, and open-access curation, into accessible visual formats for research, classroom learning, and public exploration.

These protocols accompany a growing 3D model data collection derived from experimental specimens that comprise one of AMAAZE-labs datasets. The physical specimens in this collection are curated by the University of Minnesota Anthropology Department and the digital data are curated by the Data Repository for the University of Minnesota (DRUM).

All materials are shared through the AMAAZE Consortium, an independent, international network dedicated to ethical, open, and reproducible practices in research. By contributing to the consortium’s shared library and linking to repositories such as DRUM and GitHub, AMAAZE-labs and SASSAk12 are modeling how data sharing can build community and extend the reach of research beyond the academy.

Explore the protocols, browse the 3D collection, and learn more about the collaboration (Coming Soon!)