Telkom University Dataverse is a repository where users can deposit and share research data and code.
Dataset
Arch
ARCH is Northwestern University’s institutional repository for research and scholarship.
About Arch
Arch is Northwestern University's open access institutional repository for the research and scholarly output of the university. It lets users explore research, datasets and collections, while Northwestern affiliates can log in with a NetID to deposit, describe and organize their work for public access and long-term preservation. Repository staff provide curation, sharing and preservation assistance.
Key features
- Open access repository for Northwestern University research and scholarship
- Deposit, describe and organize research for public access
- Supports long-term preservation of deposited work
- NetID login required to deposit content
- Browsable research, datasets and collections sections
- Curation, sharing and preservation help from repository staff
Best for: Northwestern University researchers and scholars who want to deposit or explore openly available research, datasets and collections.
Good for
- Open access to Northwestern research and scholarly output
- Deposits are organized for public access and long-term preservation
- Repository expertise is offered for curation, sharing and preservation
Watch out for
- Depositing requires a Northwestern NetID
- Pricing information is not provided
Arch at a glance
- Official website
- arch.library.northwestern.edu
- Category
- Research & Data › Open Data & Datasets
- Type
- Dataset
- Platforms
- Web
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Arch FAQ
Who can deposit content in Arch?
Northwestern University affiliates can log in with their NetID to deposit, describe and organize research.
Is Arch open access?
Yes, Arch is described as an open access repository for Northwestern University research and scholarly output.
What kinds of content can be explored in Arch?
The repository provides views for research, datasets and collections.
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