Information collection and discovery tasks involve aggregation and manipulation of information resources. An information resource is a location from which a human gathers data to contribute to his/her understanding of something significant. Repositories of information resources include the Google search engine, the ACM Digital Library, Wikipedia, Flickr, and IMDB. Information discovery tasks involve having new ideas in contexts of information collecting. The information one needs to collect is large and diverse and hard to keep track of. The heterogeneity and scale also make difficult writing software to support information collection and discovery tasks. Metadata is a structured means for describing information resources. It forms the basis of digital libraries and search engines. As metadata is often called, "data about data," we define meta-metadata as a formal means for describing metadata as an XML based language. We consider the lifecycle of metadata in information collection and discovery tasks and develop a metametadata architecture which deals with the data structures for representation of metadata inside programs, extraction from information resources, rules for presentation to users, and logic that defines how an application needs to operate on metadata. Semantic actions for an information resource collection are steps taken to generate representative objects, including formation of iconographic image and text surrogates, associated with metadata. The meta-metadata language serves as a layer of abstraction between information resources, power users, and application developers. A power user can enhance an existing collection visualization application by authoring meta-metadata for a new information resource without modifying the application source code. The architecture provides a set of interfaces for semantic actions which different information discovery and visualization applications can implement according to their own custom requirements. Application developers can modify the implementation of these semantic actions to change the behavior of their application, regardless of the information resource. We have used our architecture in combinFormation, an information discovery and collection visualization application and validated it through a user study.

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada / XidML is an open, vendor neutral, XML based standard for the FTI community used to capture the metadata associated with flight test instrumentation and data acquisition networks. This paper discusses the difference between metadata and meta-metadata, how these concepts apply to XidML and an optional schema, XdefML. The paper also describes how Settings and their validation may be applied to a Generic package definition. Some examples are given of how the current version XdefML can be leveraged to auto-generate graphical user interfaces that are both feature rich and incorporate sophisticated error checking and data validation.

ITC/USA 2014 Conference Proceedings / The Fiftieth Annual International Telemetering Conference and Technical Exhibition / October 20-23, 2014 / Town and Country Resort & Convention Center, San Diego, CA / The paper discusses the history and background of metadata standards for the FTI community over the last 20 years and speculates on how they may develop in the future. It starts by highlighting the deficiencies of proprietary formats and the resulting problems. It then discusses the characteristics and features of specific industry standard metadata descriptions such as TMATS, iHAL, MDL and XidML in addition to their levels of maturity. The attributes of what constitutes a fully mature FTI metadata standard is then discussed. It is suggested that any standard must serve at least two functions, Configuration and Validation, and outlines what exactly each means. Finally, it is argued that there is now a significant level of convergence and consensus in both the scope and application of metadata, and in the associated concept of operations (ConOps). The details of this Concept of Operations are then discussed along with suggestions as to how this may evolve in the coming years.