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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    121 to 130 of 234 Results
    Micro_Remarkable strikes_explanatory text.doc
    Mar 10, 2017 - Examples of remarkable strikes
    MS Word - 25.5 KB - MD5: dd9ca2196e8ebbfd3a4dff56f03a5ce9
    Remarkable_Honduras_1954.docx
    Mar 10, 2017 - Examples of remarkable strikes
    MS Word - 57.4 KB - MD5: 0aa714e2c45ac0534e472d9ac2884631
    Remarkable Strikes(IISH)
    Mar 10, 2017
    This dataverse contains several remarkable strikes from global labor history. Each month a new example will be added to the list. For a description read the text file.
    France, 1830-1935
    Feb 28, 2017 - National Labour Conflicts
    van der Velden, Sjaak, 2017, "France, 1830-1935", https://hdl.handle.net/10622/FPNCWY, IISH Data Collection, V1
    Data collected by Tilly, Shorter and Jordan and reworked for this HUB. The file contains aggregated national totals and a division by industry.
    National_France_1830_1935_2 .xls
    Feb 28, 2017 - France, 1830-1935
    MS Excel Spreadsheet - 164.5 KB - MD5: 440d6590cb2e8e996d01aaa4ca9af4f1
    National_France_explanatory text_1830-1935.doc
    Feb 28, 2017 - France, 1830-1935
    MS Word - 27.5 KB - MD5: d7378169e9cec81eb4608eaaa008f43a
    United Kingdom, 1756-1940
    United Kingdom, 1756-1940
    Feb 27, 2017 - Micro Labour Conflicts
    Several authors, 2016, "United Kingdom, 1756-1940", https://hdl.handle.net/10622/OPB7JA, IISH Data Collection, V4
    Sets with data on strikes in the UK on a micro level, 1717-1940.
    Micro_UK_Dobson_1717-1800_explanatory text.doc
    Feb 27, 2017 - United Kingdom, 1756-1940
    MS Word - 28.0 KB - MD5: 16f754190673ac84a5d097ebb1a970d6
    Micro_UK_Dobson_1717-1800.xlsx
    Feb 27, 2017 - United Kingdom, 1756-1940
    MS Excel Spreadsheet - 53.7 KB - MD5: e03331c4fda00bcd6583a31cb768b402
    Taiwan, 1987-2010
    Feb 20, 2017 - Aggregate data
    van der Velden, Sjaak, 2017, "Taiwan, 1987-2010", https://hdl.handle.net/10622/6FLS3Y, IISH Data Collection, V1, UNF:6:gSR4pYUT1oS1nn/K9Zwwlg== [fileUNF]
    A table with aggregate data calculated from the dataset Micro_Taiwan_1987-2010 by Sjaak van der Velden with consent of Chinen Wu, Chih-Sung Teng, Chelsea C. Chou.
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