PASTA‐ELN : Simplifying Research Data Management for Experimental Materials Science
Source abstract
Abstract
Research data management remains a persistent challenge across scientific disciplines, as many electronic lab notebooks (ELNs) impose steep learning curves, rigid workflows, or network dependencies that hinder everyday use. We present PASTA‐ELN , an open‐source, cross‐platform ELN designed from the scientist's perspective to simplify documentation while supporting the transition toward FAIR and machine‐actionable data practices. PASTA‐ELN employs a local‐first‐then‐sync architecture, ensuring full offline functionality, user control over data, and seamless, optional synchronization with server‐based ELNs such as elabFTW . Its hierarchical folder structure mirrors natural laboratory organization, while modular Python add‐ons enable customizable data extraction, visualization, semantic annotation, and project reporting without altering the core system. All information is stored in open, standards‐based formats facilitating long‐term preservation and interoperability via RO‐Crate and the .eln file profile. By combining intuitive desktop usability with robust research data management, PASTA‐ELN provides an accessible, extensible framework that facilitates the transition from basic file organization to digital workflows with user‐defined levels of FAIR compliance.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Research Data Management Practices · Scientific Computing and Data Management · Machine Learning in Materials Science
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Forschungszentrum Jülich GmbH Institute of Energy Materials and Devices, Structure and Function of Materials (IMD‐1) Juelich Germany
Chair of Energy Engineering Materials Faculty 5, RWTH Aachen University Aachen Germany
Funding
Deutsche Forschungsgemeinschaft
References (16)
Show source-provided references
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