Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: A complete document management system is disclosed. Accordingly, systems and methods for managing data associated with a data storage component coupled to multiple computers over a network are disclosed. Systems and methods for managing data associated with a data storage component coupled to multiple computers over a network are further disclosed. Additionally, systems and methods for accessing documents available through a network, wherein the documents are stored on one or more data storage devices coupled to the network, are disclosed.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: A complete document management system is disclosed. Accordingly, systems and methods for managing data associated with a data storage component coupled to multiple computers over a network are disclosed. Systems and methods for managing data associated with a data storage component coupled to multiple computers over a network are further disclosed. Additionally, systems and methods for accessing documents available through a network, wherein the documents are stored on one or more data storage devices coupled to the network, are disclosed.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: Systems and methods of electronic document handling permit organizations to comply with legal or regulatory requirements, electronic discovery and legal hold requirements, and/or other business requirements. The systems described provide a unified approach to data management that enables compliance, legal and IT personnel to focus efforts on, e.g., a single data repository. The systems permit users to define and utilize information governance policies that help automate and systematize different compliance tasks. In some examples, organizations may push data in any third-party data format to the systems described herein. The systems may permit compliance or IT personnel to detect when a legally sensitive production file has been changed or deleted. The systems may also provide a unified dashboard user interface. From a dashboard interface, users may perform searches, participate in collaborative data management workflows, obtain data management reports, and adjust policies.

Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: A complete document management system is disclosed. Accordingly, systems and methods for managing data associated with a data storage component coupled to multiple computers over a network are disclosed. Systems and methods for managing data associated with a data storage component coupled to multiple computers over a network are further disclosed. Additionally, systems and methods for accessing documents available through a network, wherein the documents are stored on one or more data storage devices coupled to the network, are disclosed.

Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Abstract: A system and method for leveraging a collaborative document or information management system for improving searches for multiple users are provided, referred to as a collaborative search system. A search may be based on keywords within a document or supplemental information, such as data classification tags associated with the document. Searches may be performed on live data within a company as well as on backup or other secondary copies of data. The system may also maintain an index of all of the content available anywhere within the company. The collaborative search system provides an integrated collaborative search experience to collaborative participants, such that multiple users can participate in a search.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.