This presentation will focus on creating geospatial metadata for spatial data infrastructures. The growing emphasis on data management practices in recent years has underscored the need for well-structured metadata to support the preservation and reuse of digital geographic information. Despite its value, creation of geospatial metadata is widely recognized as a complex and labor-intensive process, often creating a barrier to effective identification and evaluation of digital datasets. We will discuss our set of best practices for describing a variety of spatial content types using the ISO Series of Geographic Metadata Standards. We will share a series of Python and XSLT routines, which automate the creation of ISO-compliant metadata for geospatial datasets, web services, and feature catalogs. These auto-generation tools are designed to work directly with XML documents, making them suitable for use within any XML-aware cataloging platform. Our goals are to make metadata creation simpler for data providers, and to increase standardization across organizations in order to increase the potential for metadata sharing and data synchronization among the geospatial community.