Migrate to the NextGen IDEs
The HISE NextGen IDEs are here! For help, see the docs in this section. Not sure where to start? See the Q&A.
Move from the Current IDEs to the NextGen IDEs
Best Practices for NextGen IDE Users
Migrate to the HISE NextGen IDEs (Q&A)
The Great NextGen IDE Migration (Tutorial)
Explore NextGen IDEs
Manage NextGen IDE Instances (Tutorial)
Create Your First NextGen IDE Instance (Tutorial)
Create a GitHub Repository for Your NextGen IDE (Tutorial)
Manage
If you're new to HISE, learn how to sign in and navigate the space.
Manage Cloud Computing Expenses (Tutorial)
Work with Your Accounts and Projects (Tutorial)
Research
The advanced search functionality is the gateway to finding and accessing all your research data in HISE, including data files and human metadata. When you manage that data with Jupyter notebooks, you can store intermediate files, manage IDE state, and save results or visualizations.
Use Advanced Search (Tutorial)
Use Built-in Visualization Tools
Use the Data Availability Dashboard
Collaborate
HISE offers a rich collaboration space to work on studies, collect data and visualizations, describe your hypotheses, discuss your work, and publish your findings.
Use the HISE SDK to Create Visualizations (Tutorial)
Explore No-Code Visualizations
Manage Attribution in Open Science Publications (Tutorial)
Get Started with Data Apps (Tutorial)
Manage Visual and Navigational Elements in the Data Apps UI (Tutorial)
Manage Pages and Text Elements in the Data Apps UI (Tutorial)
Explore Data Apps Plugins and Other UI Components
Understand Certificates of Reproducibility
Manage Certificates of Reproducibility (Tutorial)
Request Approval for Data Apps (Tutorial)
Manage Assets in Data Apps (Tutorial)
Explore the Data Apps Platform
Tag & Ingest
The documentation in this section shows you how to prepare your data, submit it for ingestion, and manage your pipeline.
Understand Automated Pipelines
Use Watchfolders to Ingest Data (Tutorial)
Ingest Data into the Project Store (Tutorial)
Submit and Monitor Pipeline Batches (Tutorial)
Understand Watchfolders and the Project Store
Process Data
In the data processing space, you can see the results of your watchfolder ingests, perform various data curation tasks, and run or rerun selected pipelines with custom parameters. The availability of these functions varies by user.
Configure a Pipeline (Tutorial)
Produce Searchable Output Files
Use the Sample Status Dashboard (Tutorial)
Create Visualization Templates (Abstractions)
Help
This section offers answers to your questions.
Install the Google Cloud CLI (Tutorial)