Introduction to GSIM 10 TH OF MAY 2019

Introduction to GSIM 10 TH OF MAY 2019 CONCEPTS GROUP

Agenda for Concepts group Variables Value Domains Population

The Concepts group is used to define the meaning of data, providing an understanding of what the data are measuring. Examples: Traditional metadata such as Variables and Statistical Classifications.

Variables Value Domains (Statistical Classifications/Code Lists) Populations (Unit Types) In total 39 information objects

Variables

Some important information objects in the Concepts group Variable Value Domain Represented Variable Measurement Type Instance Variable Measurement Unit Population Unit Type Unit

Variable Unit Type Represented Variable Value Domain Instance Variable Population Unit

Variable https: //www. ssb. no/a/english/metadata/definitions/variables/main. html

Represented Variable

Instance Variable Description Data type totinc Total income Integer Length

Total income: Variable The sum of income from work, property income, taxable transfers and taxfree transfers received during the calendar year. Represented Variable Instance Variable Person Total income «All real numbers» totinc All inhabitants of Norway in 2018 Population E. g. Ola Nordmann Unit

All inhabitants of Norway in 2018 totinc NOK E. g. Ola Nordmann is of type Measurement Unit Currency Measurement Type

Variable Activity: Activity describes economic activity and is based on the kind of industry/activity a unit mainly belongs to. Activity is defined according to the valid Standard Industrial classification. Represented Variable Instance Variable Enterprise Activity International Standard Industrial Classification of all Economic Activities Activi All establishments in Oslo in 2017 E. g. Open bakery AS

Variable Activity: Activity describes economic activity and is based on the kind of industry/activity a unit mainly belongs to. Activity is defined according to the valid Standard Industrial classification. Represented Variable Instance Variable SIC 2 sic 2 Enterprise International Standard Industrial Classification of all Economic Activities Level 2 All enterprises in Oslo 2017 E. g. Open bakery AS

All enterprises in Oslo in 2017 sic 2 Not Applicable (NA) is of type Measurement Unit E. g. Open bakery AS Not Applicable (NA) Measurement Type

Value Domain

Value Domain Enumerated Value Domain Described Value Domain Classification Family Classification Series Statistical Classification Level Code List Classification Item Code Category Correspondence Table Map

Value Domain Enumerated Value Domain Described Beskrevet Value Domain Statistical Classification Code List

Classification Family Classification Series Correspondence Table Map Classification version Classification variant Level Classification Item Code Kte Category

Establishments, enterprises and accounts Standard Industrial Classification (SIC) Correspondance Table between SN 2007 og The Information Sectoren 2007 26. 1 (SN) corresponds to 1. 11 in The Information Sector Standard Industrial Classification 2007 (SIC 2007) Variant of SIC 2007 Level 3 – Group 26. 1 - Manufacture of electronic components and boards

Population

Universe Population Unit Type Unit

Population Universe contains Unit is of type Unit Type A defined class of people, entities, events, or objects, with no specification of time and geography, contextualizing a Unit Type.

Instance Variable: Income Unit Type: Person Value Domain: Described Value Domain: «All real numbers» Measuremet Unit: NOK Measurement Type: Currency Units Status Date Person ID Income Gender Marital Status Residence Height 01. 2018 300580 xxxxx 550 000 Female Unmarried Bergen 165 01. 2018 281970 xxxxx 480 000 Male Married Bergen 182 01. 2018 151171 xxxxx 1 275 000 Female Married Bergen 183 -99 Bergen 171 01. 2018 101199 xxxxx Missing Female Instance Variable: Marital status Unit Type: Person Value Domain: Enumerated Value Domain: «Classification of marital status» Population: «Inhabitants of Norway in 2018» Measurement type: NA Measurement Unit: NA