Introduction

Motivation | Example 1: An R package | Example 2: A ZIP archive | Example 3: A WACZ package | Structural Aggregations and Informative Objects | Structural Aggregations and RiC | From Folder Hierarchies to Record Sets | References

Introduction | A small ambiguous dataset | Creating provisional semantic assertions | Inspecting the prelabelled vector | Semantic operationalisation | A more ambiguous dataset | Incremental semantic stabilization | Semantic workspaces | From provisional semantics to formally defined semantics

What is fscontext? | Context before semantics | The fscontext workflow | Creating a snapshot | Working with example data | Adding contextual information | Creating Record Sets | Repeated observation | Semantic stabilisation | Relationship to Records in Contexts | Next steps

recordset_df

Motivation | Example 1: An R package | Example 2: A ZIP archive | Example 3: A WACZ package | Structural Aggregations and Informative Objects | Structural Aggregations and RiC | From Folder Hierarchies to Record Sets | References

What is fscontext? | Context before semantics | The fscontext workflow | Creating a snapshot | Working with example data | Adding contextual information | Creating Record Sets | Repeated observation | Semantic stabilisation | Relationship to Records in Contexts | Next steps

recordset_df

Introduction | A small ambiguous dataset | Creating provisional semantic assertions | Inspecting the prelabelled vector | Semantic operationalisation | A more ambiguous dataset | Incremental semantic stabilization | Semantic workspaces | From provisional semantics to formally defined semantics

Concept | Questions | Reproducible research tasks | Question Banks | Literature review | Coding tasks

Use standard codelists | Harmonize Labels | Conceptual, Literature and Documentation tasks | Coding tasks

Importing Afrobarometer Files | Working with metadata | Harmonization | Analyzing the harmonized data

Tasks in the harmonization workflow | How we help harmonization

Importing data | Mapping information, harmonizing concepts | Crosswalk table

Harmonize value codes and labels | Scenario 1 | Scenario 2 | Scenario 3 | Base Types & Summary | Combination of harmonized values | Binding surveys together

Create A labelled_spss_survey Vector | Coercion rules and type casting | Arithmetics

Crosswalk Table | Create a crosswalk table | Variable name harmonization | Value numeric code and label harmonization | A reproducible recoding and relabelling | Subsetting | Variable Name Harmonization | Further Steps

Working With a Single Survey | Working With Multiple Surveys