Manage Pages | DATASPHERES AI - Dataspheres AI

Pages in Dataspheres AI is designed to be more than just static text. It is a living knowledge base that integrates advanced visualization tools, community...

Pages in Dataspheres AI is designed to be more than just static text. It is a living knowledge base that integrates advanced visualization tools, community discussion, and AI-driven drafting. This guide will walk you through creating and managing professional-grade documentation within your Datasphere. 1. Getting Started Before managing documents, verify that you are working within the correct Datasphere . Documentation is scoped to the specific community or project space you are currently viewing. Accessing the Workspace: Click the Docs icon in the navigation menu. Permission Check: * If you have Admin or Moderator rights, you will enter the Edit View , allowing you to create and modify content. Users without management rights are automatically redirected to the Public View (Read-Only). 2. Creating a Document Click the "Create" button to launch the document initialization form. Every document requires three foundational elements: Title: The headline of your document. Slug (URL): This is the permanent link to your document. It defaults to your title (e.g., my-document-title), but you can customize it for SEO optimization or shorter sharing links. Folder Selection: Assign your document to a specific category or folder. You can move these documents later if your organizational structure changes. 3. Page Settings & Lifecycle Before diving into content creation, configure the administrative settings of the page to control its visibility and lifecycle. Page Status Manage the document's stage in the publishing workflow: Draft: The document is a work in progress. It is only visible to users with management rights. Published: The document is live and accessible to authorized members of the Datasphere. Archived: The document is removed from active lists and search results but remains preserved for administrative records. Access Level vs. Public Visibility It is crucial to understand how your content is shared: Access Level: This defines Internal Permissions . It determines the minimum role required (e.g., Participant or Moderator) within the Datasphere to view the document. Public Visibility: This defines External Exposure . If your Datasphere is set to "Public," this toggle determines if the document is indexed and viewable by people outside your specific community. 4. The Rich Text Editor Dataspheres AI utilizes a dual-tier editor designed for both speed and technical depth. Basic Editing Features The TipTap-based editor includes standard formatting for everyday use: Typography: Bold, Italics, Strikethrough. Structure: H1, H2, and H3 headers. Lists: Bulleted and ordered lists. Navigation: Easy-to-manage hyperlinks. Advanced Components For technical or high-engagement documentation, you can use advanced blocks: Code Blocks: Syntax-highlighted blocks for technical documentation. npm run start #sample code block Mermaid Diagramming: Create flowcharts, sequence diagrams, and Gantt charts using simple text-based code. Insert Images: upload Images , AI generate images , or Select images from your Cloud Library (previous uploads or generations). NOTE on Images: within the editor you can click/edit an image...and "add Image Beside" to render a carousel like experience. For editing you can adjust image position, image size, add a title, caption, or dedicated hyperlink. Rich Embeds: Seamlessly integrate Images , Audio files , and External Content (such as videos or maps). Quotes: Styled callouts for highlighting key information. Sample Quote 5. AI-Assisted Content Strategy Leverage the power of integrated AI to speed up your documentation process. Draft with AI: Generate initial outlines, summaries, or full sections of text based on your prompts. Custom Context Attachments: To ensure the AI is accurate, write custom instructions, "attach" specific data files, images, or reference documents to a page. This provides the AI with "sticky" knowledge relevant only to that specific document. 6. Community Engagement Metadata & Tags: Add descriptive tags to help both the AI and your users find content through the global search and thematic analysis. 7. Community Engagement (Discussions) Documentation in Dataspheres is collaborative. Starting a Discussion: You can initiate a discussion thread directly from a document using the Discussion Modal. Visibility: All discussions associated with a specific page are listed at the bottom of the Public View . This allows users to ask questions, provide feedback, or add insights directly where the knowledge lives.