{"id":18345675,"url":"https://github.com/digital-science/dimensions-gbq-lab","last_synced_at":"2025-04-06T08:31:46.155Z","repository":{"id":46908194,"uuid":"295685659","full_name":"digital-science/dimensions-gbq-lab","owner":"digital-science","description":"Source code for Dimensions BigQuery LAB","archived":false,"fork":false,"pushed_at":"2025-03-07T17:18:52.000Z","size":10446,"stargazers_count":6,"open_issues_count":0,"forks_count":2,"subscribers_count":8,"default_branch":"master","last_synced_at":"2025-03-21T20:51:12.893Z","etag":null,"topics":["gbq","research-analytics","scholarly-big-data","scholarly-metadata","sql"],"latest_commit_sha":null,"homepage":"https://bigquery-lab.dimensions.ai/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/digital-science.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-09-15T09:57:30.000Z","updated_at":"2025-03-07T17:18:57.000Z","dependencies_parsed_at":"2024-06-17T09:58:34.806Z","dependency_job_id":"10e9a885-8781-4460-adb9-57c70453644a","html_url":"https://github.com/digital-science/dimensions-gbq-lab","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/digital-science%2Fdimensions-gbq-lab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/digital-science%2Fdimensions-gbq-lab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/digital-science%2Fdimensions-gbq-lab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/digital-science%2Fdimensions-gbq-lab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/digital-science","download_url":"https://codeload.github.com/digital-science/dimensions-gbq-lab/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247457256,"owners_count":20941900,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["gbq","research-analytics","scholarly-big-data","scholarly-metadata","sql"],"created_at":"2024-11-05T21:08:57.791Z","updated_at":"2025-04-06T08:31:45.312Z","avatar_url":"https://github.com/digital-science.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Dimensions BigQuery LAB\n\nThis GitHub repository contains code samples and Jupyter notebooks for scholarly data analytics using the [Dimensions on Google BigQuery](https://www.dimensions.ai/products/bigquery/).\n\nPlease see the [BigQuery Lab website](https://bigquery-lab.dimensions.ai/) for a more user-friendly and searchable version of the materials included here.\n\n![screenshot](https://raw.githubusercontent.com/digital-science/dimensions-gbq-lab/master/extras/img/gbq-lab-screenshot.png)\n\n\n[![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/)\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/digital-science/dimensions-gbq-lab/master) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/digital-science/dimensions-gbq-lab/)\n\n\n## Background\n\nIf you've never heard of Dimensions.ai or Jupyter notebooks, then this section if for you.\n\n### What is Dimensions?\n\nDigital Science's Dimensions is a dynamic, easy to use, linked-research data platform that re-imagines the way research can be discovered, accessed and analyzed.  Within Dimensions, users can explore the connections between grants, publications, clinical trials, patents and policy documents.\n\nFor more information, see https://www.dimensions.ai/\n\nFor a detailed breakdown of the Dimensions on BigQuery product, see the [technical documentation](https://docs.dimensions.ai/bigquery)\n\n\n### What is Google BigQuery?\n\nGoogle [BigQuery](https://cloud.google.com/bigquery/) is a scalable multi-cloud data warehouse environment that lowers the bar to professional-level data manipulation and analytics.\n\nGoogle BigQuery allows users to combine Dimensions data with other proprietary and public data sources, without our involvement, in a completely private and secure way.\n\n\n## Comments, bug reports\n\nThis project lives on [Github](https://github.com/digital-science/dimensions-gbq-lab). You can file [issues]([issues](https://github.com/digital-science/dimensions-gbq-lab/issues/new)) or ask questions there. Suggestions and improvements welcome!\n\n## Local testing\n\nFiles can be edited directly in the `mkdocs/src-docs` directory, but several steps are required to convert these files into the website in the `docs` directory:\n\n```sh\npython3 -m venv . # start a virtual environment\nsource bin/activate\npip3 install -r requirements.txt\nbash tools/run-build.sh\ndeactivate\n```\n\n## See also\n\nhttps://bigquery-lab.dimensions.ai","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdigital-science%2Fdimensions-gbq-lab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdigital-science%2Fdimensions-gbq-lab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdigital-science%2Fdimensions-gbq-lab/lists"}