Summary – challenges for achieving globally comparable occupational data Different countries use different classification systems, based (or not) on different versions of ISCO Within countries different classification systems may be used for different applications –Big data may make this worse while making more information available Varying quality of occupational information collected on statistical and administrative forms Multiple approaches to coding occupational data (index and procedures) Difficulty in achieving international consistency due to linguistic differences Technological solutions (CAC, AC, OCR) can improve consistency –May lead to systematic error if badly implemented –Difficult for less developed countries to use Need for coordination and leadership from national statistical offices and international institutions Different countries use different classification systems, based (or not) on different versions of ISCO Within countries different classification systems may be used for different applications –Big data may make this worse while making more information available Varying quality of occupational information collected on statistical and administrative forms Multiple approaches to coding occupational data (index and procedures) Difficulty in achieving international consistency due to linguistic differences Technological solutions (CAC, AC, OCR) can improve consistency –May lead to systematic error if badly implemented –Difficult for less developed countries to use Need for coordination and leadership from national statistical offices and international institutions The design principles of ISCO-08: Challenges for coding occupations globally
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