Message-ID: <1048496655.29845.1467113905298.JavaMail.confluence@ece-vmapps> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_29844_1663285722.1467113905297" ------=_Part_29844_1663285722.1467113905297 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html
|Statistics Canada||2. Modelling the Information an= d Processes of a Statistical Organization (Statistics Canada)|
Statistics Canada is undergoing an agency-wide modernization initiative = to promote organizational efficiency, increase robustness of systems and pr= ocesses and shorten implementation time for new projects. One of the = key principles guiding this review is: Create metadata at the beginning= of every process and use them throughout the project life cycle. &nbs= p;A working group with members representing all phases of the statistical b= usiness process has been developing a strategy for statistical metadata man= agement and an action plan to support these principles. The goals bei= ng considered for the strategy relate to four themes: drive, make available= , structure and manage. Actions required to implemen= t the strategy are expected to cover:=20
The strategy for statistical metadata management and high-level actions = are being reviewed by senior management. Implementation of activities= identified in the action plan is expected to begin in spring 2013. &n= bsp; This includes the adoption of GSIM as a recommended reference model fo= r the Agency. Some of the anticipated challenges to implementing the = strategy and GSIM include limited resources, on-going work, transitioning t= o a SOA and Government of Canada initiatives (i.e., Open Data project).&nbs= p; Establishing governance, assigning a project manager to lead imple= mentation and validating GSIM through a pilot project are key steps to real= ize a metadata-driven environment.