QALM is a national project aiming at supporting the knowledge worker by a number of systems that support knowledge management, information sharing and understanding. QALM systems perform the following key functions:
Extract information from heterogeneous sources:
Oracle Databases, WANG, Informix, PDF files.
Metadata, classifications, dictionaries.
Employees' input and experience.
Combine and transform:
Data entry of missing national data.
Structuring and linking
Email, PDF, Excel.
What are the key benefits of QALM?
Provide a bilingual, integrated national data and information repository for supporting the knowledge community to achieve Qatar National Vision 2030 objectives.
Provide an agile national data and information architecture in compliance with national and international information and technology standards and regulations.
Support policy monitoring and performance evaluation and satisfy the strategic information requirements of the key stakeholders.
Provide a secured, role-based access to various types of information (information objects).
Support knowledge workers by enriching the scattered structured and non-structured information obtained from various sources, providers and media with a knowledge context.
Provide user preferencing features.
Provide administrative and collaborative features for managing information objects lifecycles.
How does QALM support the knowledge worker?
QALM supports the knowledge worker by providing "mission-critical" information for decision-making and improving productivity through:
Structuring and linking bilingual information
Consistent management of information
What types of information is available via QALM?
Data, Indicators, Classifications, Publications.
Estimated mid year population 1984 - 2009.
Vital (births, deaths, mirages and divorces).
Census 1986, 1997 and 2004.
Labour Force 2001, 2006, 2007, 2008 and 2009.
Economic (Foreign trade, GDP, CPI).
How do stakeholders perceive QALM?
QALM is a national project belonging to all stakeholders rather than one or two organizations.
QALM is an ambitious project that requires a strong sense of commitment, as well as political will of all concerned organizations and capacity to deliver quality results.
April 2010, it only the beginning for QALM, as it is an extensive project encompassing data gathering over the long-term.
QALM strives to fulfill the main pillars of QNV 2030 in terms of data needs for monitoring.
Data quality is one of the most important aspects, to which all participants are especially dedicated.
* Source: Findings of “End User Test”, April 2009
Where can I learn how to use QALM statistics tree ?
Have a look at the QALM Statistics Tree online tutorial here