These are "5 principal requirements on the public data services".public data services provides many services in health care, commerce, research etc.
5 principal requirements on the public data services are:
• Data quality -
Data quality has to be of the highest priority. However, because the data services in most cases lack access to supporting data, the quality of the data must remain the primary responsibility of the submitter.
• Supporting data -
Database users will need to examine the primary experimental data, either in the database itself, or by following cross-references back to network-accessible laboratory databases.
• Deep annotation -
Deep, consistent annotation comprising supporting and ancillary information should be attached to each basic data object in the database.
• Timeliness -
the basic data should be available on an Internet-accessible server within days (or hours) of publication or submission.
• Integration -
each data object in the database should be cross-referenced to representation of the same or related biological entities in other databases. Data services should provide capabilities for following these links from one database or data service to another.
