The OMG Data

Curates the The Opposition Movement and Groups (OMG) Dataset

For more information and issue-tracking, visit https://github.com/Hax2kon/OMGData

The OMG data and all associated files are copyrighted under the ODC Attribution License (ODC-BY)

Citation

Normal: Dahl, Marianne, Sirianne Dahlum, Hanne Fjelde, Haakon Gjerløw, Carl Henrik Knutsen, Carina Strøm-Sedgwick, and Tore Wig (2025) "Mass Mobilization in the Modern Era: Introducing the Opposition Movements and Groups (OMG) dataset, 1789-2019" Forthcoming: Comparative Political Studies

Biblatex: @article{Dahl2025, author = {Dahl, Marianne and Dahlum, Sirianne and Fjelde, Hanne and Gjerl{\o}w, Haakon and Knutsen, Carl Henrik and Str{\o}m-Sedgwick, Carina and Wig, Tore}, title = {Mass Mobilization in the Modern Era: Introducing the Opposition Movements and Groups (OMG) Dataset, 1789-2019}, journal = , year = {2025}, note = , }

Bibtex: @article{Dahl2025, author = {Dahl, Marianne and Dahlum, Sirianne and Fjelde, Hanne and Gjerl{\o}w, Haakon and Knutsen, Carl Henrik and Str{\o}m-Sedgwick, Carina and Wig, Tore}, title = {Mass Mobilization in the Modern Era: Introducing the Opposition Movements and Groups (OMG) Dataset, 1789-2019}, journal = , year = {2025}, note = }

Downloadable files

OMG_R: OMG data i .rds format

OMG_Stata: OMG data i .dta format

OMG_csv: OMG data i .csv format

CountryDocs_OMG: Coding documentation-files

Replication_IntroducingOMG This is the replication data and scripts for the article "Dahl, Marianne, Sirianne Dahlum, Hanne Fjelde, Haakon Gjerløw, Carl Henrik Knutsen, Carina Strøm-Sedgwick, and Tore Wig (2025) "Mass Mobilization in the Modern Era: Introducing the Opposition Movements and Groups (OMG) dataset, 1789-2019" Forthcoming: Comparative Political Studies". R-formats only.

The different dataset structures:

omg A country-campaign-phase structure. This is how the individual campaigns are coded and finalized by the coders

omg_my A country-campaign-year structure. Each campaign is expanded by every year it is active. The external datasets are merged into the dataset at the country-level. Note that when countries have multiple campaigns, country-level variables are duplicated.

omg_cy A country-year structure only including country-years that had an active OMG campaign, summarizing the OMG-variables into counts, min/max-values, and dummy-variables.

cy_omg A country-year dataset of the countries and years covered by the current coding. It differs from omg_cy in that this dataset also includes country-years where there are no active campaigns. All OMG-variables take the value 0 whenever there are no campaigns.

omg_coverage This is an overview document that shows what countries have been coded so far. It also shows the first- and last years with an active campaign, and the first and last year which the coding has covered. These timelines differ if there are years without any active campaigns but where the coders did look for campaigns. It also shows if a country has been coded for the historical period, contemporary period, or both.