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QUANT DATA ANALYSIS PROGRAMS ARCHIVE
QUANT DATA ANALYSIS PROGRAMS ISO

The current ISCO-2008 uses four-digit codes. This is, as a rule, done by means of one or more open-ended questions. Occupational information has several dimensions and in questionnaire surveys, these need to be collected in detail. ISCO is an example of a hierarchical category scheme. Occupational classifications such as such as the International Standard Classification of Occupations (ISCO) (International Labour Organization, 2010) are examples of widespread standard coding schemes.

QUANT DATA ANALYSIS PROGRAMS ISO

For coding occupations it is the International Standard Classification of Occupations (ISCO) (International Labour Organisation, 2016), for coding education it is the International Standard Classification of Education (ISCED) (Unesco, 2011), for geographic territories it is the Nomenclature of territorial units for statistics (NUTS) (Eurostat, 2013), for economic activities it is the Statistical classification of economic activities (NACE) (Eurostat, 2008), for languages it is ISO 639.2 (Library of Congress, n.d.), for disease it is the International Classification of Diseases (ICD) (World Health Organisation, 2016), etc. Several standardised classification and coding schemes exist that you can use.

Comprehensibility for researchers who work with these concepts.Ī disadvantage lies in the necessity to adapt your research intentions in line with the concept of the coding scheme.

Comparability with data from other studies using the same concept.

ContributorsĮconomic and quality benefits as a result of adopting an existing structure which has a solid basis and has been verified in many studies Discover The process of data discovery Data repositories as data resources International surveys Data resources for ageing Other curated data sources Resources for social media data Access, use and cite data Adapt your DMP: part 7 Sources and further reading 8.

QUANT DATA ANALYSIS PROGRAMS ARCHIVE

Archive & Publish Towards archiving & publication Selecting data for publication Data publishing routes Publishing with CESSDA archives Citing your data Licensing your data Access categories Promoting your data Adapt your DMP: part 6 Sources and further reading 7. Protect Ethics and data protection Ethical review process Processing personal data Diversity in data protection Informed consent Anonymisation Copyright Diversity in copyright Adapt your DMP: part 5 Sources and further reading 6. Store Storage Backup Security Adapt your DMP: part 4 Sources and further reading 5. Process Data entry and integrity Quantitative coding Qualitative coding Weights of survey data File formats and data conversion Data authenticity Wrap up: Data quality Adapt your DMP: part 3 Sources and further reading 4.

Organise & Document Designing a data file structure Organisation of variables File naming and folder structure Documentation and metadata Adapt your DMP: part 2 Sources and further reading 3. Plan Benefits of data management Research data Data in the social sciences FAIR data European diversity Adapt your DMP: Part 1 Sources and further reading 2.