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End-to-end data lifecycle management solutions for unstructured data, powering AI and data-intensive workloads.

The open-source repository and collaboration hub for the entire research lifecycle.

The Open Science Framework (OSF) is a highly modular, open-source project management tool designed by the Center for Open Science (COS) to support researchers across the entire scholarly workflow. As of 2026, OSF serves as a critical infrastructure for FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. Its technical architecture is built on a robust Python-based backend that exposes a comprehensive JSON API, allowing for seamless integration with external storage providers like AWS S3, Google Drive, and Dropbox. OSF functions as a centralized metadata layer, enabling researchers to link files, data, pre-registrations, and code across disparate platforms. In the 2026 market, OSF has solidified its position as the primary alternative to siloed commercial research systems by offering a transparent, community-governed environment for large-scale international collaborations. Its capability to mint Persistent Identifiers (DOIs and ARKs) and provide version-controlled storage makes it indispensable for meeting modern institutional and funder mandates for open-access transparency and scientific reproducibility.
The Open Science Framework (OSF) is a highly modular, open-source project management tool designed by the Center for Open Science (COS) to support researchers across the entire scholarly workflow.
Explore all tools that specialize in data archiving. This domain focus ensures Open Science Framework delivers optimized results for this specific requirement.
Standardized workflows that freeze a study protocol before data collection begins to prevent 'p-hacking'.
A modular architecture that mounts third-party storage APIs (S3, Box, Dataverse) directly into the OSF file tree.
Nested project structures where sub-units can have different privacy settings and contributors.
Integration with DataCite to generate persistent, citable identifiers for any public project component.
Automatic hashing and versioning of all files uploaded directly to OSF storage.
A dedicated portal for discovering and aggregating registrations from various disciplinary sources.
Native workflow to transition a project from data collection to a public preprint across various disciplines (e.g., PsyArXiv, SocArXiv).
Create a free researcher account at osf.io.
Initialize a new Project or Component through the dashboard.
Configure privacy settings (Private for active work, Public for publishing).
Attach external storage via 'Add-ons' (e.g., GitHub, S3, or Google Drive).
Create a Pre-registration using a standardized template (e.g., OSF Prereg).
Invite collaborators and assign permission levels (Read/Read+Write/Admin).
Upload initial datasets and research protocols into the versioned file system.
Document methodology using the built-in Collaborative Wiki.
Generate a Persistent Identifier (DOI) for the project or specific components.
Use the OSF API to automate data synchronization for large-scale computational tasks.
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Verified feedback from other users.
"Extremely high reliability in the academic community. Praised for its flexibility and non-profit status, though some find the UI dated."
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