A componentised front-end for statistical databases with an SDMX 2.1 API for the management of the data and referential metadata lifecycle according to the GSBPM processes Design, Collect, Process and Disseminate. Multiple statistical databases, e.g. for specific GSBPM processes: collected data, to be processed data, and disseminated data, and the information flows between these databases, can be managed with an single easy-to-use and consistent graphical interface.
Easily access, view, edit, or create new structural artefacts through a filterable list that presents the main properties of each artefact, with an intuitive editor. Stamp datasets as production-ready to make them publicly visible.
Upload, transfer between databases and extract structural artefacts. External sources can be SDMX files from the file system or from SDMX APIs. Structural artefacts can be extracted as SDMX files.
Preview data through multi-dimensional tables and charts (Timeline, Bar, Row, Scatter, Symbol, Maps), easily get all necessary additional information (attributes and referential metadata), embed tables and charts in own web pages for reporting and internal sharing. Compare and edit observations, attributes values and referential metadata values from within Excel. Define and run R-based data validations and calculationsusing VTL language.
Upload, transfer between databases and extract observations, attributes values and referential metadata values. External sources can be SDMX-ML or SDMX-CSV files from a file system or from SDMX APIs, or Excel files. Extraction formats are SDMX-ML. SDMX-CSV or Excel files.
Define and execute workflows by setting validation steps on any database change action.
The .Stat Data Lifecycle Manager Manager can be configured to an individual context independent of the back-end services, usable as individual modules, able to manage multiple data spaces (collect, process, and disseminate) including multiple dissemination channels, and styled according to each organisation brand.
The .Stat Data Lifecycle Manager is built by the SIS-CC using the .Stat Suite open source library of Reusable Components for the Web (RCW) that can be used independently or combined to create data experiences.