- What is conStruct?
- Individual Tools
- Installation Guide
- Datasets & Access
- Endpoints Access
- Web Services Tutorial
- Individual WS Documentation
- WS: Auth Registrar: Access
- WS: Auth Registrar: WS
- WS: Auth: Lister
- WS: Auth: Validator
- WS: Ontology: Create
- WS: Dataset: Create
- WS: Dataset: Read
- WS: Dataset: Update
- WS: Dataset: Delete
- WS: CRUD: Create
- WS: CRUD: Read
- WS: CRUD: Update
- WS: CRUD: Delete
- WS: Search
- WS: Browse
- WS: Converter: irJSON
- WS: SPARQL
- WS: Converter: BibTeX
- WS: Converter: TSV
The core conStruct SCS module and its supporting modules come bundled with a number of discrete tools for working with your structured data. Short descriptions of these tools are provided below. See the Demos section of this site to actually play with and use these tools.
Because of the data structure-driven nature of conStruct, many of these tools are also able to present context-specific dropdown list choices and context-specific autocompletion of entered values while working with their user interfaces.
Note, in general, most of these tools also correspond to a specific Web service as discussed more under the structWSF architecture.
The Create Dataset tool enables new datasets with their metadata to be registerd to the system. The user initially registering a dataset is by default its owner.
The Read Dataset tool basically sets whether a given user or role has access rights to a particular dataset. Without access rights, not individual record actions or data viewing is allowed.
After having selected a dataset of interest, the Update Dataset tool enables a user with sufficient rights to change dataset metadata or grant access permissions to others.
With appropriate privileges, the Delete Dataset tool enables either the entire dataset to be removed from the system, or for the local linkage to a remote dataset to be broken and removed. Only owners and perhaps curators have access to this tool.
The Create Record tool is the first of the CRUD (create-read-update-delete) data management series that is basic to the core conStruct SCS module. This tool enables you to create new instance records for existing instance types (e.g., Persons, Organizations, various Things, etc.) within your system. The entry form presents the attributes in context for the chosen instance type.
The Read Record tool is common to any of the instance records and datasets for which a user has access privileges. Often the Read Record functionality is not invoked directly, but is embedded in other tools.
After having selected a record of interest, the Update Record tool brings up the same contextual presentation of attributes as for the Create Record tool, allowing correction of existing entries or the entry of additional information into missing fields.
With appropriate privileges for a given dataset, the Delete Record(s) tool allows records to be removed from the system.
The Browse Records tool begins by presenting a categorical (hierarchical) listing of all instance types and their record counts for all currently active datasets. Browsing this tree enables specific instance types to be clicked, presenting a listed display of record results with title labels. The listing itself may be further selected by attribute, with eventually a specific record displayed. Depending on user permissions, the interface may also allow updating or deleting of records from this tool.
The Search Records tool presents a standard search engine interface, but with the addition of facet selections by instance types. Once results are returned, they may also be further filtered by the matching instance types. Complete structured data records are presented for the selected instance. Depending on user permissions, the interface may also allow updating or deleting of records from this tool.
The Import Record(s) tool enables new data to be input into the system. The fetch is based on an input URL, but may also include an entire dataset. Standard supported file input formats are RDF, TSV, JSON and certain XML.
Structured data within the system ranging from individual data records to entire datasets may be shared externally via the Export Record(s) tool. Selections may also be based on instance type(s) and dataset(s). Once selected, standard export formats include RDF (RDF/XML and N3 serializations), TSV and JSON.
Manage Data Displays
conStruct has a quite powerful Data Display and templating system. The Manage Data Displays tool enables new displays to be cloned or created, as well as existing ones to be applied in a given context. See further the separate section on this topic.
The Settings tool enables users to manage various Drupal settings related to these conStruct tools given appropriate permissions.