Getting Started Checklist¶
If you are new to the Dimensions Search Language and the Dimensions Analytics API, here is a list of useful things to get you started.
-  Verify your connection.
Ensure you can access the API using your personal credentials, via one of the methods described in the api section.
-  Install the open source Dimcli library.
Dimcli is a command-line tool and Python library that allows to create DSL queries interactively via an autocomplete mechanism, hence making it easier to learn the language and discover new features.
-  Do the tutorial.
The Tour of the DSL section introduces the most important DSL topics gradually and with straightforward examples, so it is a great way to get a feeling for what the API has to offer.
-  Explore the data sources model.
The Data Sources section includes detailed information about all the main record types available to query, their properties and cross-links.
-  Try out real-world applications.
The Dimensions API Lab is an open source repository of Jupyter notebooks demonstrating how to use the DSL to carry out different scholarly analytics tasks, e.g. building a citation network, doing a journals competitors analysis, tracking researchers’ affiliations over time etc..
-  Join the community forum.
The API Users Forum is the official channel for versions announcements, news, lessons learned and best practices about the Dimensions Analytics API.