35 results about "Data steward" patented technology

A method and system for managing personal data is provided as a means to increase the efficiency and effectiveness of personal data access, approval and curation across multiple content sources. The method and system accomplishes this by discovering, identifying, collecting normalizing personal information from content sources then alerting the user to any identifiable use of their personal information and allowing the user to directly dictate personal information use policies and manually control individual personal data attributes on multiple content platforms.

Some embodiments provide a system for beverage dispensing and sales tracking. The system includes a data manager, a data store, and one or more sales nodes. In some embodiments, the data manager includes a point-of-sale server function. In some embodiments, the data manager obtains information from the sales nodes related to pouring of beverages, such as liquor. This information may include (1) who poured the drink, (2) where it was poured, (3) when it was poured, and (4) how much was poured. The data manager uses this information to maintain an accurate inventory of beverages and for billing beverage customers. The data manager stores and manipulates this information in the data store.

System and method for collecting and analyzing information on application-level activity and other user information on a mobile data network. A platform non-intrusively and transparently monitors data activity on a mobile data network in real-time so that user-level information can be reported to an operator. The platform comprises a plurality of collectors, a data manager, and a report manager. The collectors communicate with network routers to almost all network data. The collectors inspect the data for IP addresses and correlate them to user mobile phone numbers. The data manager receives the data and augments it with information obtained by querying carrier information. The data manager stores the data and monitors it to see if it satisfies a set of defined real-time reports. The report manager then works with the data manager to develop and test new reports based on operator instructions for a specific report.

One embodiment of the present invention provides a system that facilitates data stewardship in for metadata in a data warehouse system. The system operates by first allowing a user to create metadata for the database system. Next, the system allows a super user to create a plurality of collections for a list of subject areas. Finally, the system allows a super user to move the metadata into and out of a collection. The super user then assigns a data steward for the collection, wherein the data steward is allowed to manipulate the metadata in the collection.

'Based on mesh distributing stored data file sharing system construction method', a solving method for realizing data sharing among 'virtual enterprise' formed by a plurality of enterprises. By utilizing data-base technology and mesh platform among 'virtual enterprise', the method builds a data sharing system which can ensure not only data sharing but also a single data source. Each enterprise of the system respectively builds its own sharing data-base which is loaded, maintained and managed by data administrator of the enterprise. The data file is stored in each enterprise's sharing data-base in distributed type. The method realizes data sharing by building a uniform data directory, and realizes synchronizing renewing of data directory by using functions of the mesh platform. The sharing data file in data-base is encoded by an unite bite to build up a data directory and a data dictionary, and is transferred with enterprise code to ensure a single data source. The method realizes synchronizing update utilizing a synchronizing mechanism of the mesh platform.

A computer-implemented system for patient information management, including at least one database having a plurality of data fields populated with patient data, clinician data, physician data, healthcare provider data, device data, medical data, health data, presentation data, identification data, administrator data, or any combination thereof. The system provides a patient information interface in communication with the at least one database for selectively and dynamically presenting data fields to the users that are configured for access to the interface. A set of program instructions is configured to facilitate communication of data between at least one patient device and the system. A communication for patient information management and a method of facilitating the secure transmission of data of a patient device over a network to a patient management system are also disclosed.

The invention discloses a privacy budget allocating and data publishing method for protecting the data query privacy. The privacy budget allocating and data publishing method includes steps of firstly, setting privacy budget parameters, to be more specific, giving privacy budgets of data by data administrators according to importance degrees of the data, denoting the privacy budgets of the data asepsilon, setting basic query frequencies of the data and denoting the basic query frequencies of the data as k; secondly, computing privacy budgets of each query; thirdly, acquiring the sensitivity delta f of the query according to the query f submitted by users, combining the sensitivity delta f with the privacy budget epsilon allocated to the query, and computing required-to-be-added noise forquery results by the aid of difference privacy protection algorithms so as to obtain query results with the noise; fourthly, returning the query results with the noise according to the query submittedby the users so as to protect the privacy of the data. The privacy budget allocating and data publishing method has the advantages that the privacy can be protected in data publishing procedures, accomplice attack can be resisted, the precision of first k times of query can be guaranteed, and the problem of excessively low data availability due to the fact that existing privacy budgets are infinitely allocated can be solved by the aid of the privacy budget allocating and data publishing method.

System and method for capturing, analyzing, and accessing application level activity and other user information on a mobile data network based on various privacy controls. A platform non-intrusively and transparently monitors data activity on a mobile data network in real-time. The platform comprises collectors, data managers, and a reports manager. The collectors capture information from routers and correlate IP addresses with phone numbers. The collectors retain data allowed by a set of capture filter rules. Data managers receive the retained data and augment it with additional information. A set of usage filter rules determines the communications and additional information that can go to each data manager for use in real-time reports on aggregated usage of the network. The report manager works with the data manager to provide real-time reports to an operator. A set of access usage rules determines the reports that the operator can access.

The invention relates to a method for fusing and integrating multi-source spatial data. The method specifically comprises the following steps that: a user sends a shared data request to an administrator; the administrator receives the shared data request and examines and approves whether the user is allowed to share data or not; if the examination and the approval are passed, the user organizes and uploads the data required to be shared to a server according to a complete element object and implements the step III; if the examination and the approval are not passed, the administrator returns the message which implies that the examination and the approval are not passed to the user; the administrator invokes a platform data conversion function, and an object-oriented approach is adopted in the platform data conversion to convert the data shared by the user to data adopting a GML (Geography Markup Language) format; the administrator distributes the data required by the user in the GML format according to the user demands. The method for fusing and integrating the multi-source spatial data has the benefits that the problems that element object information is incomplete when existing multi-source spatial data is subjected to format processing, and the access efficiency of the shared data in a Web service mode is low are solved.

The invention discloses a design method of an intelligent cloud computing system of test paper background processing. The intelligent cloud computing system is divided into a convergence layer, a whole paper processing layer, a cutting layer, a backup cutting layer, a subjective item service layer, an objective item judging layer, an objective item debugging layer and a core layer. The core layer is composed of a data base and a dispatch server, the other layers are server groups, and the dispatch server distributes server tasks of the layers in a unified mode. The intelligent cloud computing system is divided into different layers, and each layer achieves different functions, so that safety, reliability, security and popularization of the system are improved, intellectualization and automation of earlier test paper image processing are achieved, simultaneously high-standard requirements for data security and confidentiality during paperless paper inspection are achieved, and profession quality requirements for server performance and data administrators are reduced.

The invention discloses a fault diagnosis method based on network historical topology traffic, which comprises the following steps: carrying out data acquisition through a self-defined SNMP-MIB, carrying out traffic data acquisition based on traffic, associating traffic data with topology data, and storing topology and traffic associated data at the moment; generating historical traffic topological data based on the time dimension; enabling an administrator to retrieve and analyze the historical topology flow data based on the time dimension, so that fault positioning and reason analysis are carried out, and the fault position and reason can be quickly positioned.

The invention provides a network traffic prediction method based on discrete wavelet transform and FA-ELM, the method comprising the following steps: step 1, constructing a DWAFE model, and setting a data administrator and a model administrator in the DWAFE model; and step 2, obtaining multiple pieces of network traffic data and sending the network traffic data to the data administrator, and carrying out data preprocessing on the network traffic data by the data administrator to obtain the network traffic data after data preprocessing. An FA-ELM model optimized by a firefly algorithm overcomes the defect of poor ELM stability, is high in accuracy of nonlinear data prediction, can be stably and reliably applied to research in various fields, and has great practical significance. The DWAFE model provided by the invention combines the respective advantages of an ARIMA model and the FA-ELM model, makes accurate network traffic prediction, and calculates a dynamic threshold interval under a specified confidence coefficient according to a prediction result, thereby realizing real-time sensing of an equipment operation state, and providing powerful support for equipment fault early warning.

The invention discloses a private data security storage and authorized access method and system. Identity authentication is carried out on a visitor; identity information is read, the identity of a visitor accessing the data can be ensured to be legal; whether a visitor is a data administrator or not is judged; data imported by a data administrator can be screened out; and storage space is saved;the secret key or the certificate is not transmitted in the network, so that a secret key or a certificate can be prevented from being leaked in a network transmission process to ensure the security of data storage; the identity information of the visitor and the range of the data requested to be accessed are sent to the data administrator, and whether the data is decrypted or not is judged according to the auditing result of the data administrator, so that the data authorization access method which is completely controlled by the data administrator is realized, and the method and the system are particularly suitable for private data security of a mobile internet environment.

The invention provides an autonomous tourism information pushing platform based on a tourist location, which comprises a user terminal, a server terminal and a data manager. The user terminal includes: an APP application, a website, a promotion platform; The server terminal comprises: system data, regional data, tourism service push data and data transmission; Data administrators include system maintainers and geographic data maintainers; The data transmission is connected with the user terminal through the network transmission mode, and the data administrator is used for maintaining the userterminal and the server terminal. This platform has two functions: on-line and off-line, Online can push tourism information in real time and respond with the user's instructions, offline can displaythe local customs and information according to the address selected by the user and the things that the user wants to inquire, to achieve real-time interaction with the platform users, improve the user experience of the platform users, and improve the level of modern tourism services.

The invention provides a time series data processing method and apparatus. The method comprises the steps of obtaining time series data in an original format; according to a preset mapping rule and astandard data format, performing format conversion processing on the time series data in the original format to obtain time series data in a standard format; and outputting the time series data in thestandard format. According to the scheme, the standard data format is used for processing the data, and the workload of a data administrator for processing frequently-changed time series data can begreatly reduced.

The invention relates to an intelligent platform labeling method and device, electronic equipment and a storage medium, and the method comprises the steps: in a learning stage, a labeling platform receives to-be-labeled data uploaded by an engineer; an administrator divides the to-be-labeled data into first learning data and first to-be-labeled data on the labeling platform; a labeling expert labels the first learning data on a labeling platform to obtain gold standard data; a labeling person labels the first learning data on a labeling platform to obtain first labeling data; the labeling platform performs comparison and scoring on the gold standard data and the first labeling data; and whether the labeling person has the capability of labeling other to-be-labeled data is determined according to the scoring result. According to the method of the invention, the learning stage is added, the annotation difference between the annotation personnel and the annotation specialist is evaluated, and the annotation level difference between the annotation personnel and the annotation specialist is judged, so that the situation of data back-annotation caused by insufficient annotation level of the annotation personnel is reduced, and the annotation efficiency is improved.

The invention discloses a system and method for achieving checking result sharing. The system comprises a data mechanism, medical mechanisms, a video file mechanism, a data administrator, a data detecting body and a to-be-detected body. The data mechanism is connected with the medical mechanisms through the video file mechanism, the data detecting body detects the to-be-detected body through the medical mechanisms, and the data administrator manages the data mechanism. By means of the system and method, medical resource sharing in an area is achieved, people can see a doctor conveniently, and unnecessary diagnosis and treatment cost in the diagnosis process crossing the medical mechanisms is reduced.

A system and method for creation and expansion of high quality data set collections for training of machine learning algorithms via crowdsourced curation that utilizes a data marketplace which incentivizes data gatherers, publishers, and users to contribute to the creation of a vast resource of reliable data set collections. Data is automatically ingested from disparate sources and autonomously checked for data quality, provenance, and cyber-risks and subsequently given a reputation score. Data stewards curate a queue of low scoring real data as well as synthetically generated data. All reputable data is stored for user consumption and further iterative data generation.

The invention relates to an intelligent device data storage and verification method based on a block chain, and the method comprises the three steps: 1, building an evidence storage platform; 2, carrying out the evidence storage process on the evidence storage platform; and 3, carrying out a verification process on the evidence storage platform. In the aspect of data representation, a double-step representation method is adopted, and larger data can be represented on the basis of saving digits; the administrator has the authority of specifying the number of bits, so as to reduce and amplify the number of bits as required; before an evidence storage process, nodes in a node network system are set in advance to serve data storage on a block chain module, and an election mechanism of a leader node is set; in the evidence storage process, resources are fully mobilized, so that more data can be stored in each time the storage contract is called; finally, a data query method is set.

The invention discloses a village-level five-database information database system and an automatic data calling method. According to the village-level five-database information database system and the automatic data calling method, village-level data managers record village five-database (including a population database, a legal person department database, a spatial geographic database, a natural resource database and a macroeconomic database) data with an administrative village as a unit, and a village-level basic database is formed. The automatic data calling method comprises the steps that 1 a department needing to call data clearly calls data content and initiates a request to a management department; and 2 after receiving the calling application, the management department calls corresponding basic data according to requirements, submits the basic data to an upper-level competent department for auditing, and automatically pushes the data to an application calling department after passing the auditing. According to the basic database, the village-level managers are responsible for inputting, changing, deleting and exporting data. According to the invention, data storage and management can be effectively standardized, data valuation is realized, and government administrative operation is driven to be more efficient.

The invention provides a data security grading and classification method based on deep learning, and relates to the technical field of data security grading and classification, and the method comprises the following steps: 1, collecting business data, obtaining a plurality of groups of security data flow direction sequence combinations, and carrying out grading and marking; 2, extracting flow direction sequence combination features of the security data flow; 3, constructing a data security grading mature model based on deep learning; and 4, performing real-time dynamic monitoring on internal and external data streams which are occurring in the service information system by using the data security grading model, extracting a complete/incomplete dynamic data information stream sequence group for classification, and forming a data security grading result of the A core data, the B important data and the C general data until the group of operation behaviors is finished. Through the method provided by the invention, automatic grading of the service information system data can be realized, real-time grading and scene classification are carried out on mass data with mass data categories in real time, and the working efficiency of a data administrator is improved.