# Data Collaboration Where your team and your data stay in sync [Get Collate Free](/welcome) ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%271400%27%20height=%27600%27/%3e)![Data Collaboration](/images/data-collaboration/data-collaboration-header.png) ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2744%27%20height=%2744%27/%3e)![Collaborate where data lives](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Collaborate where data lives](/images/data-collaboration/card-collaborate.svg) Collaborate where data lives Ask questions, flag issues, and resolve them directly on the asset, column, or glossary term ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2744%27%20height=%2744%27/%3e)![Stay ahead of changes](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Stay ahead of changes](/images/data-collaboration/card-announce.svg) Stay ahead of changes Announce schema changes and deprecations before they reach downstream consumers ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2744%27%20height=%2744%27/%3e)![Make tribal knowledge institutional](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Make tribal knowledge institutional](/images/data-collaboration/card-knowledge.svg) Make tribal knowledge institutional Capture governance docs, architecture decisions, and usage guides, linked to the assets they describe ## Collaborate Where the Data Lives A complete audit trail of who did what, attached to the data itself Human + AI Group Chat Shared collaborative sessions for multi-party reasoning over governed context, with @mentions, role-based access, and audit trail Activity Feeds Every description change, tag update, ownership shift, and schema modification is logged with attribution, timestamps, and diffs Unified AI + Human Logs Agent-generated changes appear in the same feed as human edits, so governance visibility extends to automated work Task Workflows Request, review, and approve description or tag updates in a structured workflow auto-assigned to the asset owner ![\[object Object\]](/images/ai-native-experience/reason.png) ![\[object Object\]](/images/ai-native-experience/reason.png) ## Stay Ahead of Changes Proactive change coordination that prevents downstream incidents ![\[object Object\]](/images/data-collaboration/scheduled-announcements.png) Scheduled Announcements Set a start and end date; active announcements display as a banner on the asset page so anyone viewing it sees the notice Multi-Channel Delivery Route announcements via email, Slack, MS Teams, or webhooks to reach stakeholders wherever they work Breaking Change Warnings Flag column deletions, schema changes, and deprecations in advance so downstream consumers have time to adapt Inactive Announcement History Closed announcements are preserved so teams have a complete record of every change communicated ![\[object Object\]](/images/data-collaboration/scheduled-announcements.png) ## Make Tribal Knowledge Institutional Long-form knowledge that stays connected to your data Context Center Write rich articles, upload existing documents, define asset-tied memories, and link them directly to the data assets they describe Nested Hierarchy Organize articles to mirror your domain structure so governance docs, tutorials, and best practices are easy to find Asset & Glossary Linking Tag data assets and glossary terms in articles so context is discoverable from both the article and the asset Version History & Comments Every edit is tracked; team members can comment on articles the same way they comment on data assets ![\[object Object\]](/images/data-collaboration/context-center.png) ![\[object Object\]](/images/data-collaboration/context-center.png) ## Built for modern data & AI practices Designed for changing needs of data & AI teams AI-Driven Automation Improve productivity, enforce governance and reduce costs with AI driven automation Unified Platform One platform for all your teams for data discovery, observability and governance Collaborate Around Data Accelerate development of data assets with social workspaces and knowledge centers Get started with Collate today for free [Get Collate Free](/welcome) Managed Service for Production Data Teams [Book a Demo](/contact-sales) ## FAQs Expand All What is data collaboration in Collate?+ Data collaboration in Collate keeps all team communication about data attached to the data itself. Users discuss assets in conversation threads, create tasks for documentation updates, announce upcoming changes with scheduled banners, and write long-form knowledge articles that link directly to data assets. Every action is logged in an activity feed with full attribution. How do activity feeds work in Collate?+ Activity feeds show a chronological log of everything that happens to a data asset: description changes, tag updates, ownership shifts, schema modifications, and quality events, each with the exact user, timestamp, and diff. Feeds are available at the asset level, user level, and org-wide on the home page. AI agent actions appear in the same feed as human edits, so the audit trail covers automated work too. How do conversation threads work?+ Threads can be started on any data asset, column, description, tag, or glossary term. Users reply, react with emojis, and @mention teammates — all in context. Threads are visible in the activity feed and stay attached to the specific element being discussed. How do announcements prevent downstream data incidents?+ Data owners schedule announcements with a title, description, and a start/end date. During the active window, a banner appears on the asset detail page for all followers, so anyone who views that table before a breaking change sees the notice, not just those who caught the external message. Alerts also route via email, Slack, MS Teams, or webhooks. What is Context Center?+ Context Center is a built-in long-form documentation hub. Teams write rich articles, upload documents, and define memories, covering architecture decisions, governance frameworks, usage tutorials, and best practices, then link them to the relevant data assets, glossary terms, and domains. Articles have version history, comments, bookmarks, upvotes, and a nested hierarchy so knowledge is organized, not buried. How does Collate integrate with Slack and MS Teams?+ Activity feed alerts, announcement notifications, and task updates can all route via Slack, MS Teams, email, or custom webhooks. Data leaders can also receive governance summaries and KPI updates directly in Slack via AskCollate without logging into Collate at all. How does Context Center differ from our existing wiki or documentation tool?+ The Context Center is purpose-built for data context and complements tools like Confluence and Notion. Everything in Context Center feeds into the Collate open context layer, meaning AskCollate and Collate agents are further enriched with existing corporate knowledge. The knowledge serves both humans browsing the platform and AI operating on their behalf. Articles let you link directly to existing wiki pages and attach them to specific data assets, glossary terms, and domains inside Collate. Documents lets you upload PDFs, Word files, and other standalone content directly into Collate, creating a central home for materials that would otherwise live outside the platform. Memories capture rules or guidelines directly on an asset, for the kind of nuance that never makes it into a formal doc.