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Here is text about the project, whether ontology or metadata production or both. There can be links here to other stuff.Stanford’s linked data production project focuses on technical services workflows. For each of four key production pathways we will examine each step in the workflow, from acquisition to discovery, to determine how best to transition to a linked data production environment. Our emphasis is on following each workflow from start to finish to show an end-to-end linked data production process, and to highlight areas for future work. The four pathways are: copy cataloging through the Acquisitions Department, original cataloging, deposit of a single item into the Stanford Digital Repository, and deposit of a collection of resources into the Stanford Digital Repository. 

Stanford Project Proposal

• Production workflows for creation of linked data
• Tool recommendations for conversion and original creation of linked data
• Best practices for pre- and post-conversion enhancements
• Linked data descriptions of set of Stanford library and digital repository resources

Here's a list of what this project hopes to achieve. Eventually this list will link to actual stuff like documents.

• outcome 1
• outcome 2

Good headers are:

Analysis/Modeling

Linked Data Creation

• Automating the conversion, authorities, and load-to-discovery pipeline for vendor-supplied copy

Tool Definition and Development

• Building converter validation suite

Analysis/ModelingTool Exploration / Requirements Definition

Collaboration

Community Engagement

Link to working documents (for partners only)

Analysis/Modeling

• Mapped Stanford's vendor-supplied copy cataloging and original cataloging workflows
• Mapped workflow for converting vendor-supplied records to linked data

Linked Data Creation

• Worked with vendor on improvements to supplied MARC data to enhance conversion to BIBFRAME

Tool Exploration / Requirements Definition

• Gathered requirements for conversion and editing tools
• Set up Registry of Tools
• Evaluated CEDAR template creation and metadata editing tool

Good headers are:

Analysis/Modeling

Linked Data Creation

Collaboration

Community Engagement