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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    141 to 150 of 167 Results
    Micro_UK_mines_1893-1940_explanatory text.doc
    Jan 18, 2016 - United Kingdom, 1756-1940
    MS Word - 35.0 KB - MD5: e0b6b5db4fda68fd3cda27e296deb9f2
    Micro_UK_mines_1893-1940.xls
    Jan 18, 2016 - United Kingdom, 1756-1940
    MS Excel Spreadsheet - 2.8 MB - MD5: cb0f64a6f65244bea06e0df515044ade
    Micro_Brasil_Pernambuco_explanatory text.doc
    Jan 12, 2016 - Brasil_Pernambuco, 1812-1920
    MS Word - 31.0 KB - MD5: 2a77fa0704eca97ed3ca344b589ea691
    Micro_Pernambuco, 1812-1920.tab
    Jan 12, 2016 - Brasil_Pernambuco, 1812-1920
    Tabular Data - 14.7 KB - 15 Variables, 79 Observations - UNF:6:TSHXD7YSpNnMEImyXC7veA==
    Micro_Argentina_1979-2002_explanatory text.doc
    Jan 12, 2016 - Argentina, 1979-2002
    MS Word - 26.5 KB - MD5: 3d015ef7068b25b5273ae6c972551dff
    Micro_Argentina_1979-2002.tab
    Jan 12, 2016 - Argentina, 1979-2002
    Tabular Data - 13.8 KB - 8 Variables, 87 Observations - UNF:6:ejFYOXVMVouvVm3WS79tng==
    Micro_Ghana_1995-2004.xls
    Jan 12, 2016 - Ghana, 1995-2004
    MS Excel Spreadsheet - 137.0 KB - MD5: e81d60d322e0ecc5f51b7a6b55c81f97
    Micro_Ghana_explanatory text_micro.doc
    Jan 12, 2016 - Ghana, 1995-2004
    MS Word - 31.0 KB - MD5: c331effdfd96eaf6af03a4447511050e
    Micro_Germany_1936_1937_explanatory text.doc
    Jan 12, 2016 - Germany, 1936-1937
    MS Word - 26.0 KB - MD5: cabc45f638a87a584e4c186afa31e01c
    Micro_Germany_1936_1937.xls
    Jan 12, 2016 - Germany, 1936-1937
    MS Excel Spreadsheet - 93.0 KB - MD5: 46884c9a6c22b8fa6d4c5f8066c5bc57
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