Metadata Tooling
The generation and curation of metadata are often driven by external requirements, such as various standards or best practices that must be met. To address this, we develop and offer user-friendly applications that simplify the process of meeting these requirements, making it easier to generate and manage high-quality metadata. This, in turn, enhances documentation, scientific rigor, and the visibility of the user's work.
Somesy
Somesy is an open-source Python tool designed to simplify the creation and management of software project metadata. Software metadata must adhere to multiple standards, and is often stored in code-specific files, making manual curation cumbersome and error-prone. Somesy streamlines this process by harmonizing these sources and automatically updating metadata files based on a single source of truth. This allows developers to focus on their primary task—software development—without the added concern of updating metadata.
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FAIR python cookiecutter
The FAIR Python Cookiecutter simplifies the creation of Python packages that adhere to the FAIR (Findable, Accessible, Interoperable, and Reusable) principles in research software engineering. It offers a standardized template for developing Python code with integrated best practices for metadata, version control, and documentation. By using this template, developers can quickly set up Python projects that ensure data and code are easily shareable, reproducible, and well-documented. This fosters the development of high-quality, FAIR-compliant software, enhancing collaboration and data transparency in scientific research.
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DirSchema
DirSchema is a metadata specification and validation tool that enforces structural metadata requirements in local datasets. Research groups can use DirSchema during dataset preparation in order to harmonize and enrich datasets across groups.