SDMX vocabulary for data managers
In this course, you will further extend your understanding of basic SDMX terms for general data related processes.
An introduction to SDMX structural modelling for data producers
In this course, you will learn about the Statistical Data and Metadata eXchange data modelling and how to practically apply it in the .Stat Suite context.
Overview
This version is now closed from new enrolments! An updated and enhanced version of this course is now available.Don’t worry, any learner currently enrolled can chose to continue to finish this version, or if you wish, move over to the new version straight away. Any learner who is already certified will retain their certification and will not need to complete this new version.
COURSE DESCRIPTION
This course, An Introduction to SDMX structural modelling for data producers, is designed for Data Producers (Methodology Adviser, Statistical Assistant, Statistician, Data Reporter…) as a way to introduce the knowledge needed to design SDMX structures, including in the .Stat Suite context.
LEARNING OUTCOMES
- Understanding the meaning of SDMX meta(data) structural modelling.
- Learn the step-by-step method for structural modelling.
- Familiarise with the tools to apply the method in .Stat Suite.
In each module you will be asked a few questions to help you remember the contents and reinforce your understanding.
CERTIFICATION
Upon completion of this course you will receive a certificate of completion.
Curriculum
Curriculum
- 11 Sections
- 83 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- Course introduction10
- 1.1Module overview: Course introduction v11 Minutes
- 1.2What is SDMX Structural Modelling? v11 Minutes
- 1.3Why are SDMX Structural Modelling best practices important for .Stat Suite? v12 Minutes
- 1.4The SDMX Modelling Guidelines v17 Minutes
- 1.5Step-by-step method of structural modelling v110 Minutes
- 1.6Tools used in this course v17 Minutes
- 1.7Example structure and data v18 Minutes
- 1.8Improved example structure and data v15 Minutes
- 1.10Check your knowledge: SDMX Structural Modelling course introduction v19 Minutes6 Questions
- 1.11Module summary: Course introduction v11 Minutes
- Decide the scope of the structural model8
- 2.1Module overview: Decide the scope of the structural model v11 Minutes
- 2.2Why build a dataflow diagram first? v11 Minutes
- 2.3Example data flow diagram: Earnings Distribution data v13 Minutes
- 2.4Example data flow diagram: Global DSD for Labour Statistics v13 Minutes
- 2.5How to add dataflows to the SDMX Matrix Generator v110 Minutes
- 2.6Check your knowledge: Decide the scope of the structural model v13 Minutes
- 2.8Check your knowledge: Decide the scope of the structural model v14 Minutes2 Questions
- 2.9Module summary: Decide the scope of the structural model v11 Minutes
- Identify statistical concepts12
- 3.1Module overview: Identify statistical concepts v11 Minutes
- 3.2List existing indicators v110 Minutes
- 3.3Derive the logical concepts of the model v12 Minutes
- 3.4Decompose existing indicators v18 Minutes
- 3.5Decompose existing indicators: Full decomposition v17 Minutes
- 3.6Modelling unit-related concepts v16 Minutes
- 3.7Use standard concepts v12 Minutes
- 3.8Standard concept sources v12 Minutes
- 3.9Concept Scheme worksheet v15 Minutes
- 3.10Add the concepts to the Concept Scheme worksheet v120 Minutes
- 3.11Check your knowledge: Identify statistical concepts v17 Minutes4 Questions
- 3.12Module summary: Identify statistical concepts v11 Minutes
- Define the concept types9
- 4.1Module overview: Define the concept types v11 Minutes
- 4.2Dimension, Time dimension, Attribute or Measure? v18 Minutes
- 4.3Attribute attachment level and cardinality v18 Minutes
- 4.4Concepts: Coded or uncoded? v15 Minutes
- 4.5Set codelists for the concepts v16 Minutes
- 4.6Data types for uncoded concepts v16 Minutes
- 4.7Other concept details v16 Minutes
- 4.8Check your knowledge: Define the concept types v18 Minutes3 Questions
- 4.9Module summary: Define the concept types v12 Minutes
- Defining the matrix9
- 5.2Module overview: Defining the Matrix v11 Minutes
- 5.3The purpose of the Matrix v12 Minutes
- 5.4How to add Dataflows and Concepts to the Matrix v15 Minutes
- 5.5Using the Matrix to define Dataflows v15 Minutes
- 5.6Symbols to use when building the Matrix v15 Minutes
- 5.7Defining Concept usage for the Dataflows v18 Minutes
- 5.8Concept usage for the Dataflows: First pass complete v15 Minutes
- 5.9Check your knowledge: Defining the matrix v18 Minutes4 Questions
- 5.10Module summary: Defining the Matrix v12 Minutes
- Optimise the structural model7
- 6.1Module overview: Optimise the structural model v11 Minutes
- 6.2Why we have not defined the DSDs yet v12 Minutes
- 6.3How to analyse whether to keep or remove concepts v18 Minutes
- 6.4Group Dataflows into DSDs v18 Minutes
- 6.5Group Dataflows into DSDs: Matrix analysis v110 Minutes
- 6.6Check your knowledge: Optimise the structural model v18 Minutes3 Questions
- 6.7Module summary: Optimise the structural model v11 Minutes
- Fully define codelists9
- 7.1Module overview: Fully define codelists v11 Minutes
- 7.2A refresher on codelists v17 Minutes
- 7.3The codelist/concept relationship v15 Minutes
- 7.4Preparing a codelist worksheet for definition v17 Minutes
- 7.5Defining the codelist header information v15 Minutes
- 7.6Defining the codes in a codelist v17 Minutes
- 7.7Codelist orders and hierarchies v15 Minutes
- 7.8Check your knowledge: Fully define codelists v18 Minutes3 Questions
- 7.9Module summary: Fully define codelists v12 Minutes
- Define constraints10
- 8.1Module overview: Define constraints v11 Minutes
- 8.2What are constraints and what are they for? v17 Minutes
- 8.3Preparing for constraint definition v17 Minutes
- 8.4How to define a constraint v15 Minutes
- 8.5Completing the constraint definition v17 Minutes
- 8.6Constraining several dataflows v14 Minutes
- 8.7How to automate constraint definition v16 Minutes
- 8.8How to view a summary of constraints v14 Minutes
- 8.9Check your knowledge: Define constraints v18 Minutes4 Questions
- 8.10Module summary: Define constraints v12 Minutes
- Define dataflows presentation metadata6
- 9.2Module overview: Define dataflow presentation metadata v11 Minutes
- 9.3What is dataflow presentation metadata? v14 Minutes
- 9.4How to define a dataflow’s layout presentation metadata v17 Minutes
- 9.5Other types of dataflow presentation metadata v18 Minutes
- 9.6Check your knowledge: Define dataflow presentation metadata v17 Minutes3 Questions
- 9.7Module summary: Define dataflow presentation metadata v11 Minutes
- Create the structural model in .Stat Suite11
- 10.1Module overview: Create the structural model in .Stat Suite v12 Minutes
- 10.2Steps to create the structural model in .Stat Suite v16 Minutes
- 10.3Complete details of the model for generation v110 Minutes
- 10.4Generate the structural model v110 Minutes
- 10.5How to upload the structural model in the .Stat Suite Data Lifecycle Manager (DLM) v17 Minutes
- 10.6How to create a sample data file v18 Minutes
- 10.7How to upload the data using the .Stat Suite Data Lifecycle Manager v18 Minutes
- 10.8How to view the data in the Data Explorer v15 Minutes
- 10.9About the isFinal status v14 Minutes
- 10.10Check your knowledge: Create the structural model in .Stat Suite v17 Minutes3 Questions
- 10.11Module summary: Create the structural model in .Stat Suite v12 Minutes
- Conclusion3
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Course Features
- Lessons 83
- Tests 11
- Duration 10-13 hours
- Skill level Foundation
- Language English
- Students 116
- Certified 4
- Certificate Yes
- Assessments Self