Resources
Choose resource type:
API documentation
This page contains Jupyter notebooks to show how to carry out common scholarly data analytics tasks using the Dimensions Analytics API.
API documentation
Learn about the Dimensions Analytics API via code examples and Jupyter notebooks.
Case studies
Tristan’s objective was to assess the current state of climate science resources and funding in Canada
and use the results to offer recommendations to strengthen the
field.
Publications
Digital Science offers data capabilities and the connected data to help life science organizations understand the Car-T research and development landscape.
Case studies
Aruna Rajan is a Staff Market Research Analyst at Illumina.
Aruna’s role involves providing strategic insights and actionable
information from market models and other analyses.
Case studies
Jenny Wooldridge, Senior Analyst in the analysis and evaluation team at the UK-based National Physical Laboratory describes how powerful Dimensions is at helping conduct
vital research and strategic analyses.
Case studies
Philipp Pollack, Data & Metrics Specialist in the Central Library at Forschungszentrum Jülich, highlights the vital role Dimensions and GRID data play in monitoring Germany’s
Open Access activity.
Case studies
John de Mello, Head of Nano at Norwegian University of Science
& Technology, describes how he has used the Dimensions API to help his university understand what it does -
and what it could do - in nanoscience and technology
Publications
Access to large scale data to produce new insights or reproduce existing results is a necessity for scientometric research and access cannot be limited by commercial considerations.
