From Cms To Dms: C Is For Content, D Is For Data | Open Knowledge Foundation Blog
Data management system
A mature DMS will let people do all the following things. Whether as a proprietary monolith, or by slick integration across the web: - Load and update data from any source (ETL) - Store datasets and index them for querying - View, analyse and update data in a tabular interface (spreadsheet) - Visualise data, for example with charts or maps - Analyse data, for example with statistics and machine learning - Organise many people to enter or correct data (crowd-sourcing) - Measure and ensure the quality of data, and its provenance - Permissions data can be open, private or shared - Find datasets, and organise them to help others find them - Sell data, sharing processing costs between users