This is the Dataverse with the published datasets of the HUB Global Labour Conflicts project. This dataverse is maintained by the International Institute of Social History (IISG) (https://iisg.amsterdam/en) on behalf of the network. Any questions or suggestions can be addressed to ...

The datasets are grouped into so-called "Dataverses" of different levels. To see those levels, click on the tick box "Dataverses" on the left panel.

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You will see 5 dataverses:
  • Remarkable Strikes: These are qualitative accounts of a few selected, exceptional historical strikes.
  • Global Labour Conflicts: Contains the aggregated dataset on labour conflicts for more than 250 countries.
  • Micro Labour Conflicts: Datasets with more detailed accounts of specific (periods of) labour disputes.
  • Aggregate data: Datasets with aggregated data per country for certain time periods.
  • National Labour Conflicts: Datasets with aggregated data per country for certain time periods.

    For researchers with a focus on The Netherlands, the main dataset of interest is "Labour Conflicts in the Netherlands, 1372-2019" (https://hdl.handle.net/10622/APNT4U). This dataset has been converted to linked open data. The converted version can be queried using a sparql endpoint here: https://druid.datalegend.net/IISG/Labourconflicts. For users who are not able to query sparql directly, we provide a "Data story" with a simpler way to enter query terms. There are two data stories for the Dutch dataset:
  • A data story where you can get an overview of the data model: data story: data-model
  • A data story where you can get insights into the data itself, with the most common queries (per year, occupation, place, etc.): data story: dataset queries

    More information about the HUB Global Labour Conflicts and these data can be found here: https://iisg.amsterdam/en/blog/hub-global-labour-conflicts, and in this publication: Aurich, J., Simpson, C., & Kösters, R. (2022). Workers’ resistance across time and space. Arbetarhistoria, 183(3). https://doi.org/10.52024/tseg.14505.

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    Oct 31, 2022 - Sweden,1859–1938
    MS Word - 34.0 KB - MD5: 982c953b2a043d3696ece18e84872d3e
    Oct 31, 2022 - Sweden,1859–1938
    Tabular Data - 296.5 KB - 9 Variables, 4703 Observations - UNF:6:7k0R6hVTKPf/vugso1d3Pw==
    Oct 31, 2022 - Sweden, 1859-1902
    MS Word - 32.5 KB - MD5: 76b41502efecf9017bce99afda58b404
    Oct 31, 2022 - Sweden, 1859-1902
    MS Excel Spreadsheet - 205.0 KB - MD5: 819a542f893abf6f90c143416af62920
    Jul 19, 2022 - Germany, 2004-2021
    MS Word - 31.5 KB - MD5: 3af223c175e55620edb516db650942ea
    Jul 19, 2022 - Germany, 2004-2021
    Tabular Data - 4.9 KB - 10 Variables, 28 Observations - UNF:6:XbmhfoLBqW08gSlVfQZ5XA==
    Feb 28, 2022 - Global
    MS Word - 46.5 KB - MD5: e1b5f67dedffdc26ec692a684af62070
    Feb 28, 2022 - Global
    MS Word - 42.5 KB - MD5: d01a8b7c4fb1730cf11df5e8a6ca0e7e
    Feb 28, 2022 - Global
    MS Excel Spreadsheet - 27.1 MB - MD5: 74e11b2c617dd66ccf3f0d4c3969a5ae
    Global file updated with most recent ILO data (February 2022)
    Gzip Archive - 1.9 KB - MD5: 8d4274e183603fcc51cd881448379c8d
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