Collaboration platform for enabling collaboration on data analysis across multiple disparate databases
Inventors
SAXENA, Sidhyansh • Plueckebaum, Achim • Srinivasan, Badhri • Diehl, Christian
Assignees
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Publication Number
US-11769114-B2
Publication Date
2023-09-26
Expiration Date
Abstract
A platform and method for enabling collaboration on data analysis of life sciences data across disparate databases are disclosed. The collaboration platform may allow for performing exploratory analysis for drug discovery and development. The collaboration platform may include a search and graph module for generating a user project and determining and displaying one or more matching data assets and one or more potential collaborators; a collaboration module for coordinating a collaboration between the user and one or more selected collaborators; a data management module for receiving a schema for one or more producer projects, receiving data from the one or more selected data assets, and ingesting the received data using common standards and an ontology; and an insight application for generating disease specific inferences relating to a scientific question using the ingested received data, and receiving a feedback from the user and/or the selected collaborators to improve the search and graph module.
Core Innovation
The invention is a platform and method for enabling collaboration on analysis of life sciences data across disparate databases for drug discovery and development. The platform generates a user project with multiple attributes that form new relationships among static and dynamic elements and among attributes of one or more producer projects, and the user project attributes are determined from system recommendations, popularity, search terms, filters, indications of choices, and at least one scientific question in a natural language entered by the user.
A search and graph module determines one or more matching data assets based on the user project and one or more producer projects, and determines one or more potential collaborators based on the matching data assets, where at least a portion of the data assets is previously unshared with one or more of the potential collaborators. The collaboration module coordinates collaboration between the user and selected collaborators associated with selected data assets, including notifying the selected collaborators, providing an abstract of the user project, enabling inspection of selected data assets, and finalizing the collaboration if the user and the selected collaborators assent.
A data management module receives a schema for each producer project and receives data from selected data assets, ingesting the received data using common standards and an ontology. Access to at least a portion of the data assets that may be shared with one or more of the potential collaborators is controlled, and the ingested data is stored with the producer projects for comparison to the user project by the search and graph module using the multiple attributes.
An insight application module generates disease specific inferences relating to the scientific question using the ingested received data, and receives feedback from the user and/or selected collaborators to improve the search and graph module and improve the exploratory analysis.
Claims Coverage
Two independent claims are identified: a platform claim and a method claim. The claims include five inventive features spanning user-project generation, matching and collaboration, data ingestion with common standards and an ontology, controlled access, and disease-specific inference generation with feedback.
Life sciences collaboration platform with search and graph module
A platform with a search and graph module for generating a user project with multiple attributes including static and dynamic elements derived from system recommendations based on popularity, search terms, filters, indications of choices, and at least one scientific question in natural language; determining matching data assets based on the user project and one or more producer projects; determining potential collaborators based on matching data assets including unshared data assets; and coordinating collaboration between the user and selected collaborators by notifying collaborators, providing an abstract of the user project, enabling inspection of selected data assets, and finalizing the collaboration if assent is received.
Data ingestion using common standards and an ontology with controlled access
A data management module that receives a schema for each producer project, receives data from the selected data assets, ingests the received data using common standards and an ontology, controls access to at least a portion of the data assets that may be shared with one or more potential collaborators, and stores ingested data with producer projects for comparison to the user project by the search and graph module using the multiple attributes.
Disease-specific inference generation and feedback to improve matching
An insight application module for generating disease specific inferences relating to the scientific question using the ingested received data, and receiving feedback from the user and/or selected collaborators to improve the search and graph module and improve the exploratory analysis.
Exploratory analysis method for enabling collaborative life sciences analysis across disparate databases
A method for enabling collaboration on data analysis of life sciences data across multiple disparate databases for performing exploratory analysis for drug discovery and development, including generating a user project with multiple attributes including static and dynamic elements from a user profile, past activities, system recommendations based on popularity, search terms, filters, indications, and at least one scientific question in natural language; determining matching data assets based on the user project and one or more producer projects; determining potential collaborators based on unshared matching data assets; and coordinating collaboration with notifying collaborators, providing an abstract of the user project, enabling inspection of selected data assets, and finalizing if assent is received.
Ingesting received data using common standards and an ontology for comparison
The method further receiving a schema for each producer project; receiving data from selected data assets; ingesting the received data using common standards and an ontology; controlling access to at least a portion of the data assets that may be shared with one or more potential collaborators; and storing the ingested data with the producer projects for comparison to the user project by the search and graph module using the multiple attributes.
Across both independent claims, the inventive core covers user-project attribute generation from profile or recommendation inputs and a natural-language scientific question, matching of data assets from producer projects and selection of potential collaborators with previously unshared assets, coordinated collaboration including notification, abstract provision, asset inspection, and assent-based finalization, data ingestion using common standards and an ontology with controlled access and comparison stored with producer projects, and disease specific inference generation with feedback to improve subsequent search and graph operation.
Stated Advantages
Enables collaboration on analysis of life sciences data across disparate databases for drug discovery and development.
Generates disease specific inferences relating to the scientific question using ingested received data.
Receives feedback from the user and/or selected collaborators to improve the search and graph module and improve the exploratory analysis.
Documented Applications
Performing exploratory analysis for drug discovery and development across multiple disparate databases.
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