The BigQuery LAB is a collection of tutorials showing how take advantage of the Dimensions on Google BigQuery (GBQ) platform for advanced research analytics.
The LAB contains Jupyter notebooks and SQL template queries usable for a number of use cases e.g.
- Competitive intelligence
- Horizon-scanning & emerging trends
- Academic & industry partnerships and collaboration networks
- Key Opinion Leader (KOL) identification
- Recruitment & talent
- Performance & benchmarking
- Tracking funding dollar flows and citation patterns
- Social and economic impact of research
The LAB website is implemented using Python and mkdocs. See the GitHub repo for more details.
Background
Dimensions on Google Big Query is a state-of-the-art platform used to discover, access, and analyze research publications and their impact.
Role:
Tech product manager
Date: Mar 2021
Link: https://bigquery-lab.dimensions.ai/
Link: https://github.com/digital-science/dimensions-gbq-lab
Date: Mar 2021
Link: https://bigquery-lab.dimensions.ai/
Link: https://github.com/digital-science/dimensions-gbq-lab
Screenshots:
