Abstract: Embodiments herein a multi-modal, multi-omic enterprise, graphformat, semantic ontology-based metadata framework spanning the value continuum across a plurality of technological fields, such as, but not limited to, life sciences, pharma, healthcare, and so on. In an embodiment herein, the framework can be a Cloud implementation. In ah embodiment herein, the framework can be a local implementation. In an embodiment herein, the framework can be a mix of a Cloud implementation and a local implementation.

Abstract: Embodiments herein relate to data management and, more particularly, to collecting data from a plurality of sources, and linking the collected data to derive information and knowledge. The method includes defining at least one data model and asset by including data models, vocabulary, data quality rules, data mapping rules for at least one of, a particular data industry, a data domain, or a data subject area, importing data from a plurality of data sources, performing de-duplication of the imported data and data profiling of the imported data, and creating linked data either by semantic mapping, or by curating the data.

Abstract: Embodiments herein relate to data management and, more particularly, to collecting data from a plurality of sources, and linking the collected data to derive information and knowledge. The method includes defining at least one data model and asset by including data models, vocabulary, data quality rules, data mapping rules for at least one of, a particular data industry, a data domain, or a data subject area, importing data from a plurality of data sources, performing de-duplication of the imported data and data profiling of the imported data, and creating linked data either by semantic mapping, or by curating the data.

Abstract: Embodiments herein relate to data management and, more particularly, to collecting data from a plurality of sources, and linking the collected data to derive information and knowledge. A method disclosed herein includes collecting data from a plurality of sources, curating the data and linking the data to derive knowledge and information from the data. The method further includes receiving new data and integrating new data into the linked data based on a semantic search and a knowledge graph. The method further includes checking a quality of the linked data to determine a data quality break and generating remedies to fix the data quality break associated with the linked data.