Meta Data Services

About: Meta Data Services is a research topic. Over the lifetime, 2564 publications have been published within this topic receiving 40102 citations.

Method and system for managing metadata information

Abstract: A system for managing metadata information comprising a database for storing the metadata in formation; a central processing core, connected to the database, for monitoring and controlling access of the database; a process dispatcher for receiving the metadata information and transmitting the metadata information to the database via the central processing core; and a user interface for displaying the metadata information connected to the central processing core.

System and method for managing ontologies as service metadata assets in a metadata repository

Abstract: Embodiments of the invention are generally related to Ontologies and service metadata repositories, and particularly related to systems and methods for transforming Ontologies into service metadata assets in a service metadata repository. One embodiment includes a plug-in from an ontology development tool communicating to an application programming interface for a service metadata repository. One embodiment includes transforming an ontology from an ontology web language file in an ontology development tool into a service metadata asset in the service metadata repository.

An approach to the quality and reusability of metadata specifications for e‐learning objects

Abstract: Purpose – The purpose of this paper is to discuss research that leads to identifying new metadata for learning objects and extending the SCORM standard.Design/methodology/approach – The research involves a questionnaire to collect data from users of e‐learning resources and a statistical analysis of that data. The discussion employs concepts from such areas as e‐learning, didactics, and statistics.Findings – The main finding is the identification of several learning objects metadata, including those that are not defined in current e‐learning standards. Some of the new metadata could be introduced to the existing standard metadata categories; the others could be used to form completely new categories.Research limitations/implications – The general solution has been developed but more work is still necessary.Practical implications – The ideas discussed in the paper, especially the identified metadata, could be used to extend the standard metadata (e.g. in the SCORM standard).Originality/value – The paper pr...

A Case for Data Commons: Towards Data Science as a Service

Abstract: As the amount of scientific data continues to grow at ever faster rates, the research community is increasingly in need of flexible computational infrastructure that can support the entirety of the data science lifecycle, including long-term data storage, data exploration and discovery services, and compute capabilities to support data analysis and re-analysis, as new data are added and as scientific pipelines are refined. We describe our experience developing data commons-- interoperable infrastructure that co-locates data, storage, and compute with common analysis tools--and present several cases studies. Across these case studies, several common requirements emerge, including the need for persistent digital identifier and metadata services, APIs, data portability, pay for compute capabilities, and data peering agreements between data commons. Though many challenges, including sustainability and developing appropriate standards remain, interoperable data commons bring us one step closer to effective Data Science as Service for the scientific research community.