Tools and Guides for Data Contributors and Advanced Users
If you are interested in mapping your own data to the DataArc concept map and connecting it to other interdisciplinary datasets, you should start with our tools and guides for data contributors.
- You can see how datasets are structured as json by viewing static versions on github in the 'dataarc experiments' repo.
- You can access our jupyter notebook based tools to explore current mappings and develop an understanding of how data and concepts are currently connected.
- Documentation on using these tools is available here on readthedocs.
These tools are designed to allow you to work independently or may be used in a workshop setting with a research team.
Workshops to developing good mappings for your data
Thinking about how to map your data to the DataArc community's shared concept map can be challenging. Graduate students working with the project team have developed materials to guide PhD students considering contributing their data. These materials, designed to be used in a workshop, are relevant to anyone considering contributing project data to the DataArc Ecosystem.
You can view the workshop presentation slides.
Workshop participants developed sample data mappings ('combinators').
Willem Koster and Polly Thompson, who led the workshops, developed example 'combinators' based on their own data as a guide for workshop participants.
A conceptual guide to developing good mappings for your data - Part 1
Polly Thompson is a PhD researcher at the University of Edinburgh. Her work explores the use of tephra layers to investigate past environments and landscapes through the evidence they provide about past surface conditions, vegetation coverage and land management activities.
You can read her guide to developing good mappings.