Pattern

The Pattern instrumentation level represents architectural design patterns applied to data management. Just as software engineering has patterns like MVC (Model-View-Controller) that guide system design, data management has higher-level organizational strategies that guide how datasets, tools, and workflows are composed.

Examples of data management patterns:

YODA (YODAs Organizer of Data Assets) – A pattern for structuring nested datasets with clear separation of inputs, outputs, and code, enabling modular and portable analyses.
BIDS (Brain Imaging Data Structure) – A community standard for organizing neuroimaging data with prescribed directory structures, naming conventions, and metadata files.
Linked dataset graphs – Connecting datasets as a directed acyclic graph of dependencies, so that provenance flows naturally through the structure.

Patterns operate at a higher level of abstraction than individual tools or workflows. They provide a mental model and a set of conventions that make it easier to reason about, communicate about, and maintain complex data management setups over time.

Container venv Overlay for Python Development

2 March 2026·10 mins

Reproducibility Efficiency Reusable Accessible Pattern S — Self-contained A — Actionable P — Portable E — Ephemeral Container Docker Singularity Venv Uv Python Development

Demonstrates how to mount local code into stock or third-party containers and create lightweight venv overlays, bridging the container’s fixed environment with project-specific dependencies.

From Script to STAMPED Research Object

20 February 2026·9 mins

Reproducibility Rigor Transparency Reusable Accessible Pattern S — Self-contained T — Tracked A — Actionable M — Modular P — Portable E — Ephemeral D — Distributable Shell Posix Awk Make Git Singularity Containers

Four scenarios showing how to incrementally add STAMPED properties to a shell-based analysis using git, make, and singularity.

Datasette and MVC Pattern for Actionable Data Exploration

19 February 2026·8 mins

Transparency Efficiency Accessible Interoperable Pattern A — Actionable S — Self-contained Datasette Mvc Data-Exploration Sqlite

Shows how datasette turns static datasets into interactive, queryable web applications following an MVC-like pattern.

Ephemeral Shell Scripts for Reproducing Issues

19 February 2026·6 mins

Reproducibility Rigor Transparency Reusable Accessible Pattern S — Self-contained A — Actionable E — Ephemeral P — Portable Shell Posix Reproducer Bug-Report Testing

Distills a common practice among open-source developers: writing throwaway shell scripts that set up a fresh environment, reproduce a problem, and can be shared as actionable bug reports or starting points for test cases.