Data Wolf is designed to facilitate the documentation and dissemination of scientific work with a system that makes it easy to create and share workflows while separating the science from the logistics of execution. This allows scientists to focus on research without concerning themselves with the details of where the workflow will execute, how will the data be stored, how do I share my results, etc. Models, algorithms, and data are kept in open formats so they are accessible outside the scientific workflow system and models that are encapsulated by a workflow can be exposed as a RESTful web service. Data Wolf has 3 main components: 1) Editor (DataWolf JS), 2) Service layer (RESTful service) and 3) Engine.

Researchers should cite this work as follows:

• (2024), "Data Wolf," https://sciencegateways.org/resources/datawolf.

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1. Data Wolf
2. digital data
3. Scientific workflow
4. softwareEntry
5. virtual communities