We rollout new features regularly and we are always looking for ways to improve Grid-ML. So, if you have a feature request or any other feedback, please let us know at email@example.com.
Grid-ML now allows users to organize their schemas into repositories. Users can group schemas by subject, version, or any other desired classification. That makes it easier for users who deal with a large number of schemas.
In addition to creating repositories, users can now share those repositories with other users within their organization as well as external contributors. When a schema is updated or a new schema is uploaded to the shared repository, the change is immediately available to all team members. That allows team members to always have access to latest schemas and versions that they need to perform their work.
XML Schemas provide a mechanism, called substitution groups, that allows elements to be substituted for other elements. More specifically, elements can be assigned to a special group of elements that are said to be substitutable for a particular named element called the head element.
Many standards use substitution groups as an extension mechanism. View extension points. For example, in the NIEM standard, almost every container has an augmentation point element implemented using XML substitution groups. These augmentation point elements serve solely as hooks, to be later replaced by additional content defined by other namespaces.
With this update, Grid-ML now allow users to find all available elements for any substitution groups.
XML Schema provides a mechanism to force substitution for a particular element. When an element is declared to be "abstract", it cannot be used in an instance document.
Grid-ML now allows you to search for abstract elements and see their respective substitutable extensions.
We added support for Type Semantics Search to enable customers to explore the type hierarchy of XML Schemas. With this update, users can now search for data types, find related elements and sub-types, and see the complete type ancestry for any component.
Business analysts and software developers often need to identify all data elements that share similar characteristics in order to properly integrate their systems with new data models. Traditional tools only allow users to navigate up and down the data structures. Grid-ML now goes beyond that by allowing users to navigate laterally to elements with related data types.
Grid-ML’s single-screen design makes the type navigation extremely easy. When you make a search, Grid-ML automatically includes all the relevant data types in your search results. When you select a data type, Grid-ML shows all the sub-types and elements that use the selected type. Once you select an element, Grid-ML shows the complete type ancestry, including their documentation.
NIEM (National Information Exchange Model) is a common vocabulary that enables efficient information exchange across diverse public and private organizations. With this release, Grid-ML now provides easy navigation through the NIEM data structures and fast searching into data point names, definitions, and controlled vocabularies.
Grid-ML comes pre-loaded with NIEM standard models and it also allows you to load any IEPD schema.
With the new capabilities in this release, business users and data analysts can find containers, data points, and enumerated values using familiar business terms and phrases.
Hit CountsUsers can now see how many search results there are under each container and how far down in the hierarchy the results are located.
Pre-Loaded RepositoriesGrid-ML now has pre-loaded, read-to-use models, including: MISMO®, UMDP, and PRIA standards. This helps users view and search these models without having to locate and load their source files.
Dedicated Schema Visualization Screen
Grid-ML now provides an exclusive columnar view is optimized to allow users to quickly and efficiently move around the schema hierarchy. The screen shows all the information you need, but nothing more. No diagrams or tree controls to get in your way.
The new functionality works side-by-side with the search capability to help non-technical users work with large XML data models and complex industry data standards.