optimade-maker: Automated generation of interoperable materials APIs from static data

📅 2026-03-12
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the fragmentation of atomic structure data across heterogeneous databases in materials science, which lacks unified and interoperable access interfaces, compounded by the high technical barrier to deploying APIs compliant with the OPTIMADE standard. To overcome these challenges, the authors introduce optimade-maker, a toolkit that enables, for the first time, the automatic generation and deployment of standards-compliant OPTIMADE REST APIs from arbitrary static materials datasets. The toolkit supports diverse input formats and facilitates rapid deployment in both local and production environments. By significantly lowering the barrier to FAIR data sharing, optimade-maker has been successfully integrated into the Materials Cloud Archive and used to establish standardized access pipelines for the Cambridge Structural Database (CSD) and the Inorganic Crystal Structure Database (ICSD), thereby greatly enhancing data discoverability and cross-database analytical capabilities.
📝 Abstract
Atomistic structural data are central to materials science, condensed matter physics, and chemistry, and are increasingly digitised across diverse repositories and databases. Interoperable access to these heterogeneous data sources enables reusable clients and tools, and is essential for cross-database analyses and data-driven materials discovery. Toward this aim, the OPTIMADE (Open Databases Integration for Materials Design) specification defines a standard REST API for atomistic structures and related properties. However, deploying and maintaining compliant services remains technically demanding and poses a significant barrier for many data providers. Here, we present optimade-maker, a lightweight toolkit for the automated generation of OPTIMADE-compliant APIs directly from raw atomistic structure and property data. The toolkit supports a wide range of raw datasets, enables conversion to a standardised OPTIMADE data representation, and allows for rapid deployment of APIs in both local and production environments. We further demonstrate it through an automated service on the Materials Cloud Archive, which automatically creates and publishes OPTIMADE APIs for contributed datasets, enabling immediate discoverability and interoperability. In addition, we implement data transformation pipelines for the Cambridge Structural Database (CSD) and the Inorganic Crystal Structure Database (ICSD), enabling unified access to these curated resources through the OPTIMADE framework. By lowering the technical barriers to interoperable data publication, optimade-maker represents an important step toward a scalable, FAIR materials data ecosystem integrating both community-contributed and curated databases.
Problem

Research questions and friction points this paper is trying to address.

interoperability
materials data
OPTIMADE
API deployment
heterogeneous databases
Innovation

Methods, ideas, or system contributions that make the work stand out.

OPTIMADE
interoperable API
automated data conversion
materials informatics
FAIR data
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United States - Massachusetts - Cambridge
K
Kristjan Eimre
PSI Center for Scientific Computing, Theory and Data, 5232 Villigen PSI, Switzerland; National Centre for Computational Design and Discovery of Novel Materials (MARVEL), 5232 Villigen PSI, Switzerland
M
Matthew L. Evans
UCLouvain, Institute of Condensed Matter and Nanosciences, Chemin des Ètoiles 8, Louvain-la-Neuve 1348, Belgium; Matgenix SRL, A6K Advanced Engineering Center, Charleroi, Belgium; datalab industries ltd., King’s Lynn, United Kingdom
B
Bud Macaulay
PSI Center for Scientific Computing, Theory and Data, 5232 Villigen PSI, Switzerland
X
Xing Wang
PSI Center for Scientific Computing, Theory and Data, 5232 Villigen PSI, Switzerland; National Centre for Computational Design and Discovery of Novel Materials (MARVEL), 5232 Villigen PSI, Switzerland
J
Jusong Yu
PSI Center for Scientific Computing, Theory and Data, 5232 Villigen PSI, Switzerland; National Centre for Computational Design and Discovery of Novel Materials (MARVEL), 5232 Villigen PSI, Switzerland
Nicola Marzari
Nicola Marzari
École Polytechnique Fédérale de Lausanne (EPFL), and Paul Scherrer Institut (PSI)
computational materials sciencecondensed matter physicsdensity-functional theory
Gian-Marco Rignanese
Gian-Marco Rignanese
Directeur de Recherches F.R.S.-FNRS / Professeur UCLouvain
Giovanni Pizzi
Giovanni Pizzi
Laboratory for Materials Simulations, Paul Scherrer Institute (PSI), Villigen PSI, Switzerland
Solid-state PhysicsMaterials ScienceMaterials simulations