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.

Dataverses_tick_box

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.

  • Featured Dataverses

    In order to use this feature you must have at least one published dataverse.

    Publish Dataverse

    Are you sure you want to publish your dataverse? Once you do so it must remain published.

    Publish Dataverse

    This dataverse cannot be published because the dataverse it is in has not been published.

    Delete Dataverse

    Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

    Advanced Search

    1 to 10 of 229 Results
    Nov 20, 2024 - Micro Labour Conflicts
    van Kasteel, Teun; Aurich, Jens, 2024, "Amok Events in 19th Century Dutch Newspapers", https://hdl.handle.net/10622/0WWVWT, IISH Data Collection, V2, UNF:6:YSefEtN1bDpqaOZ/lApgJg== [fileUNF]
    This dataset is the result of a manual data collection process consisting of visual and textual annotations of digitized newspaper articles retrieved from Delpher. For this project, we collected data on an unconventional form of collective labor action: Amok.
    Adobe PDF - 98.5 KB - MD5: 5172a990db7785ab66990c325663ccd4
    Nov 20, 2024 - Micro Labour Conflicts
    Läuferts, Josephine; Aurich, Jens, 2024, "Desertion Events in 19th Century Dutch Newspapers", https://hdl.handle.net/10622/D6OXZ9, IISH Data Collection, V2, UNF:6:PLqCWvjO39KGxxQhgp2J6w== [fileUNF]
    This dataset is the result of a manual data collection process consisting of visual and textual annotations of digitized newspaper articles retrieved from Delpher. For this project, we collected data on an unconventional form of collective labor action: Desertions.
    Adobe PDF - 98.6 KB - MD5: ad402ece979d0b46dca9d6b64e9a28f0
    Adobe PDF - 1.9 MB - MD5: 7d55bba16776e4c42b83fba8226abaf8
    Tabular Data - 145.6 KB - 55 Variables, 496 Observations - UNF:6:PLqCWvjO39KGxxQhgp2J6w==
    Tabular Data - 422.3 KB - 55 Variables, 1437 Observations - UNF:6:YSefEtN1bDpqaOZ/lApgJg==
    Adobe PDF - 1.4 MB - MD5: 1c6933121283ca955ee400bcbe17e43c
    Aug 20, 2024 - Micro Labour Conflicts
    Andrea Admasie, 2018, "Ethiopia, 1941-2020", https://hdl.handle.net/10622/6IWVTB, IISH Data Collection, V2
    Data compiled from various sources by Andreas Admasie. First published in 2018 (2018-11-29), updated version from 2023.
    Aug 20, 2024 - Ethiopia, 1941-2020
    MS Excel Spreadsheet - 12.8 KB - MD5: 3c9fcebb2892d7d15157b79feac7bc42
    Add Data

    Sign up or log in to create a dataverse or add a dataset.

    Share Dataverse

    Share this dataverse on your favorite social media networks.

    Link Dataverse
    Reset Modifications

    Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.