Metadata Technology to Provide Next Generation Classification Management System to Statistics New Zealand
Metadata Technology North America awarded contract for the delivery of innovative standards based classification management platform
(PRWEB) December 11, 2012
Metadata Technology North America Inc. (MTNA) is pleased to announce that it has been awarded a contract by Statistics New Zealand for the delivery of its next generation classification management system.
Classifications, often referred to as code lists or value labels by statisticians, are a fundamental component of statistical data production, management, and analysis. Their standardization and consistency are essential to ensure data comparability and harmonization across datasets, time, topics, borders, or languages. Effectively maintaining and sharing such information at the international, national, institutional, or departmental levels presents significant challenges. As a result, this is often performed in isolation, leading to duplication of efforts and inconsistencies.
MTNA’s solution will take an innovative approach by providing a platform for collaboratively managing classifications, enable functionality such the capturing changes over time or cross-classification mappings, and provide standard web services and interfaces for interacting with external systems. The underlying information model will be concept driven and align on broadly accepted metadata specifications and best practices such a the Data Documentation Initiative (DDI), Statistical Data and Metadata Exchange standard (SDMX), Neuchatel Terminology, or the Simple Knowledge Organization System (SKOS). Web based user interfaces will be designed for managers, institutional, and public users, to maximize accessibility.
The project is due for completion in second quarter of 2014. As part of the agreement, the software will be licensed in perpetuity to Statistics New Zealand. Free licenses will also be extended to national statistical agencies in the 22 member countries of the Secretariat of the Pacific Community (SPC). It is further anticipated for the platform to become available for general licensing in 2014.
This classification management system is a core component of MTNA’s long term vision of delivering global cloud based environments for the management, publication, access, and analysis of statistical data. Flexible and standard based classifications management tools, enabling sharing information across institutions and borders, would greatly facilitate single point of maintenance and foster reuse, leading to more consistent and comparable data, in turn supporting amongst others open government initiatives and linked data activities.
We are thankful to Statistics New Zealand for supporting such vision through this project, and collaboratively leading the way to better data for a better world.
Statistics New Zealand Tatauranga Aotearoa is a government department and New Zealand’s national statistical office. It is the country’s major source of official statistics and leader of the Official Statistics System. The agency’s vision is to tell the story of New Zealand through statistics that are relevant, accessible, and trustworthy. It has been publishing statistics for nearly 120 years.
The Secretariat of the Pacific Community is an international organisation that works in public health, geoscience, agriculture, forestry, water resources, disaster management, fisheries, education (community, TVET, quality and standards for all school levels), statistics, transport, energy, ICT, media, human rights, gender, youth and culture to help Pacific Island people achieve sustainable development. SPC’s members are the 22 Pacific Island countries and territories that are the beneficiaries of its services, along with four of the original founding countries.
Metadata Technology North America Inc. is a privately owned eGovernment data management and information technology solution provider. The Company’s mission is to facilitate production, open access, and improve the quality and use of statistical and scientific data. It specializes in products and services leveraging XML technology, metadata standards, and related best practices. Its key personnel include globally recognized experts in the area of the Statistical Data and Metadata Exchange (SDMX) standard, the Data Documentation Initiative (DDI), and the management of socio-economic data, health data, and official statistics.
The views and opinions expressed in this article are those of the Company and do not necessarily reflect the official policy or position of other agencies and individuals.
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