Data Curation: Curating and Sharing Geospatial Data
About
Research data is most valuable when others can find it, understand it, trust it and reuse it, long after the project that created it has ended. This course covers the principles of curating and sharing geospatial data: describing data with metadata and documentation, preserving it for the long term, publishing it in repositories with persistent identifiers and licenses, and protecting the people and places that location data can reveal.
The course is conceptual: it has no programming or software exercises. Each module includes examples and challenges with solutions.
| Module | What you will learn |
|---|---|
| Introduction to Data Curation | What curation is, the curation lifecycle, public access policies and the FAIR principles |
| Metadata | Kinds of metadata, essential geospatial elements, and standards such as ISO 19115, DataCite and DDI |
| Documentation | README files, codebooks, provenance, and citing data |
| Preservation | Durable formats, checksums, the OAIS model, trustworthy repositories and very large data |
| Sharing and Publishing Data | Choosing a repository, DOIs, licenses, access levels, and the FAIR and CARE principles |
| Ethics and Sensitive Location Data | Re-identification, aggregation and geomasking, sensitive places, consent and review |
Prerequisites
- No prior GIS or programming experience is needed
- The Data Management module is helpful background, especially its modules on file formats and organizing data
This course is part of Enabling the Geospatial Turn in the Social Sciences, a set of training modules developed at Purdue University with support from the National Science Foundation.
| Type | Course |
|---|---|
| Level | Foundation |
| Length | 4 hours |
| Topics |
Concepts Community: Spatial Turn |
Modules
-
Introduction to Data Curation
Module 1 • 40 minutes
What curation is, the curation lifecycle, public access policies and the FAIR principles
-
Metadata
Module 2 • 50 minutes
Kinds of metadata, essential geospatial elements, and standards such as ISO 19115, DataCite and DDI
-
Documentation
Module 3 • 45 minutes
README files, codebooks, provenance, and citing data
-
Preservation
Module 4 • 45 minutes
Durable formats, checksums, the OAIS model, trustworthy repositories and very large data
-
Sharing and Publishing Data
Module 5 • 50 minutes
Choosing a repository, DOIs, licenses, access levels, and the FAIR and CARE principles
-
Ethics and Sensitive Location Data
Module 6 • 50 minutes
Re-identification, aggregation and geomasking, sensitive places, consent and review
Instructor
Aniket Dev Roy
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