Abstract: Various embodiments relate generally to data science and data analysis, and computer software and systems to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby data ingestion is performed to form data representing layered data files and data arrangements to facilitate, for example, interrelations among a system of networked collaborative datasets. In some examples, a method may include forming a first layer data file and a second layer data file, assigning addressable identifiers to uniquely identify units of data and data units to facilitate the linking of data, and implementing selectively one or more of a unit of data and a data unit as a function of a context of a data access request for a collaborative dataset.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform configured to provide one or more computerized tools that facilitate development and management of data projects, including implementation of extended computerized query language syntax to analyze, for example, multiple tabular data arrangements in data-driven collaborative projects. For example, a method may include generating data to present a query editor in a data project interface, receiving data representing a first query command to select one or more subsets of data, identifying in the data representing a second query command a subset of datasets from which to extract the data, and applying a query based on a first query command and a second query command.

Abstract: Various embodiments relate generally to data science and data analysis, and computer software and systems, to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby one or more interfaces, such as user interfaces, may be implemented as computerized tools for presenting summarization of dataset attributes to facilitate discovery, formation, and analysis of interrelated collaborative datasets. In some examples, a method may include presenting data representing summary characteristic data in a user interface. This may include user interface elements each specifying a value of a dataset attribute for a collaborative dataset. Also, the method may include presenting aggregated data attributes for a subset of the collaborative dataset associated with the linked atomized datasets.

Abstract: The present invention includes the provision and use of a novel method and apparatus for anchoring a catheter line to the tissue of a patient (e.g., the internal fascia of a patient) for pain pump drug delivery. In one preferred form of the invention, the invention includes the provision and use of a catheter line fixation device including a housing and a collet assembly. The catheter line fixation device is intended to be adjustably secured to a catheter line, and the catheter line fixation device is intended to be secured to the tissue of a patient (e.g., the internal fascia of a patient), so as to secure the catheter line to the tissue of the patient.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform to implement predict data constraints to validate one or more portions of a dataset, according to at least some examples. For example, a method may include predicting a subset of constraint data to validate a graph-based data arrangement, and analyzing the graph-based data arrangement against a subset of constraint data to determine an action. At least one action may include validating data in a graph-based data arrangement. Also, the method may include integrating graph-based data arrangement into a graph data arrangement responsive to determining data representing a validation.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query of a consolidated dataset that may include datasets formatted atomized datasets, analyzing the query to classify portions of the query to form classified query portions, partitioning the query into sub-queries as a function of a classification type for each of the classified query portions, and retrieving data representing a query result from distributed data repositories.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform configured to provide one or more computerized tools to deploy predictive data models based on in-situ auxiliary query commands implemented in a query, and configured to facilitate development and management of data projects by providing an interactive, project-centric workspace interface coupled to collaborative computing devices and user accounts.

Abstract: Various techniques are described, including evaluating ingested data including a dataset to identify one or more links to other datasets stored in a graph, using a similarity determination algorithm to identify a degree of similarity between datasets to determine joinability of ingested datasets with graph-stored datasets, determining a ratio to determine whether to perform an overlap or coverage function, associating a subset of similarity matrices with a subset of graph data joined to the ingested dataset, and forming links in a column of data between the dataset and the another dataset of the ingested data based on the degree of similarity.

Abstract: Various embodiments relate generally to data science and data analysis, and computer software and systems, to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby user interfaces may be implemented as computerized tools for presenting summarization of dataset attributes to facilitate discovery, formation, and analysis of interrelated collaborative datasets. In some examples, a method may include receiving data resulting from insight calculations. Insight calculations may be based on a derived dataset attribute. Also, the method may include presenting a data arrangement overview summarizing the data attributes as an aggregation of data attributes in a portion of the user interface.

Abstract: Various techniques are described for platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization, including receiving at a dataset access platform a query formatted according to a first data schema, generating a copy of the query, saving the query and the copy to a datastore, parsing the copy of the query in the first schema using an inference engine, determining whether the query comprises data associated with an access control condition associated with accessing the dataset, the access control condition being configured to indicate whether the query is permitted to access the dataset, and rewriting, using a proxy server, the copy of the query in a second schema by converting the copy of the query into a triple associated with the query and another triple associated with the access control condition.

Abstract: Various embodiments relate generally to data science and data analysis and computer software and systems to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform configured to transmute associations between data arrangements of different formats or different data models to facilitate data operations, such as queries, configured to enhance, for example, an ingested dataset via transmuted associations as, for example, interrelations among a system of networked collaborative datasets.

Abstract: Various techniques are described for platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization, including receiving at a dataset access platform a query formatted according to a first data schema, generating a copy of the query, saving the query and the copy to a datastore, parsing the copy of the query in the first schema using an inference engine, determining whether the query comprises data associated with an access control condition associated with accessing the dataset, the access control condition being configured to indicate whether the query is permitted to access the dataset, and rewriting, using a proxy server, the copy of the query in a second schema by converting the copy of the query into a triple associated with the query and another triple associated with the access control condition.

Abstract: Techniques for computerized tool implementation of layered data files to discover, form, or analyze dataset interrelations of networks collaborative datasets using a collaborative dataset consolidation system are described, including receiving data to form a first input via a first interface as a first interface element to initiate a data operation, receiving a data signal indicating selection of the data operation, activating a programmatic interface to perform the operation after the selection and responsive to the data signal, presenting a second interface configured to receive an operation data instruction, transforming the operation data instruction into a graph-related data instruction configured to access other data associated with an atomized dataset stored in a triplestore repository, implementing the graph-related data instruction to perform the data operation on a graph, and retrieving further data representing a result of executing the graph-related data instruction.

Abstract: Various embodiments relate generally to data science and data analysis, and computer software and systems to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby data ingestion is performed to form data representing layered data files and data arrangements to facilitate, for example, interrelations among a system of networked collaborative datasets. In some examples, a method may include forming a first layer data file and a second layer data file, assigning addressable identifiers to uniquely identify units of data and data units to facilitate the linking of data, and implementing selectively one or more of a unit of data and a data unit as a function of a context of a data access request for a collaborative dataset.

Abstract: Various embodiments relate generally to data science and data analysis, and computer software and systems to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby data ingestion is performed to form data representing layered data files and data arrangements to facilitate, for example, interrelations among a system of networked collaborative datasets. In some examples, a method may include forming a first layer data file and a second layer data file, assigning addressable identifiers to uniquely identify units of data and data units to facilitate the linking of data, and implementing selectively one or more of a unit of data and a data unit as a function of a context of a data access request for a collaborative dataset.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query into a collaborative dataset consolidation system, identifying datasets relevant to the query, generating one or more queries to access disparate data repositories, and retrieving data representing query results. In some cases, one or more queries are applied (e.g.

Abstract: Various techniques are disclosed for computerized tools to discover, form, and analyze dataset interrelations among a system of networked collaborative datasets including a repository configured to receive and store a dataset, and a dataset consolidation system configured to receive data to form a first input to initiate creation of a dataset based on a set of data, to activate a programmatic interface, to transform the set of data from a first format to an atomized format to form an atomized dataset, to monitor the creation of the dataset, to present data representing a status of a portion of the creation of the dataset, to calculate automatically dataset attributes of the linked dataset, to generate a plurality of sub-queries, and to retrieve data representing query results from the at least one of the different data repositories.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a system may include data ingestion controller configured to format datasets to form a first and a second atomized dataset, the second atomized dataset including the first atomized dataset and one or more other atomized datasets. The system may include a dataset query engine configured to identify a portion of a dataset relevant to a query, and to retrieve query results from at least one of different data repositories.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving a dataset having a data format into a dataset ingestion controller configured to form a collaborative dataset, interpreting data of the dataset against data classifications at an inference engine to derive at least an inferred attribute, associating the data with annotative data identifying the inferred attribute, and converting the dataset at a format converter to form an atomized dataset.

Abstract: Various techniques are described for platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization, including receiving at a dataset access platform a query formatted according to a first data schema, generating a copy of the query, saving the query and the copy to a datastore, parsing the copy of the query in the first schema using an inference engine, determining whether the query comprises data associated with an access control condition associated with accessing the dataset, the access control condition being configured to indicate whether the query is permitted to access the dataset, and rewriting, using a proxy server, the copy of the query in a second schema, and optimizing the rewriting by identifying a database engine to execute the query and including other data converted into another triple associated with an attribute of the query.