Labour relations define for or with whom one works and under what rules. These rules (implicit or explicit, written or unwritten) determine the type of work, type and amount of remuneration, working hours, degrees of physical and psychological strain, as well as the degree of freedom and autonomy associated with the work.
The Global Collaboratory on the History of Labour Relations is a collaborative effort to study labour relations in a global perspective. The project has two main goals. First, to provide statistical insights into the global distribution of all types of labour relations (systematically including women's and child labour) in five historical cross-sections: 1500, 1650, 1800, 1900, [Africa: 1950], and 2000. Second, to explain the signalled shifts in labour relations worldwide.
During the first phase of the project (2007-2012), made possible by generous funding from the Gerda Henkel Stiftung in Düsseldorf, and additional funding from the Netherlands Organisation for Scientific Research ( NWO) and the IISH, a large group of international scholars met during workshops, worked together online and developed a large number of datasets containing data on the occurrence of all types of labour relations in all parts of the world during five cross-sections in time, thereby also developing a new taxonomy of labour relations based on a shared set of definitions. Without the enthusiasm and not to mention the many hours of production of our collaborators who are the beating heart of this collaboratory, the project would not have been possible.

Click here for a link to our treemap visualisation tool.

Selection of recent publications:

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

71 to 80 of 235 Results
MS Excel Spreadsheet - 9.6 MB - MD5: 947a5f4a82644e473e1d1d24961bbebb
Full dataset
Mar 21, 2023
Vosse, Shoshanah van de, 2023, "France 1900 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset]", https://hdl.handle.net/10622/NYCAOO, IISH Data Collection, V1, UNF:6:bjznS+uGlTXKNDs964VOfg== [fileUNF]
Labour Relations in France: 1900
Tabular Data - 38.6 KB - 35 Variables, 202 Observations - UNF:6:rYoD76dXgJx10fmi/WsEAg==
Digitized occupational data from 1906 French census, containing both high and low levels of aggregation
Tabular Data - 8.5 MB - 42 Variables, 65535 Observations - UNF:6:7BbtCpoepwa/BltfPaBK0Q==
Dataset containing labour relations data
Nov 19, 2020
Gil Montero, Raquel, 2016, "Argentina 1900,2000 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset]", https://hdl.handle.net/10622/CLGPDT, IISH Data Collection, V3, UNF:6:IKCqxakGxsvcNUP6Fs55Bw== [fileUNF]
Labour Relations in Argentina: 1900, 2000 An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relat...
Tabular Data - 8.3 MB - 48 Variables, 65535 Observations - UNF:6:qD/tz+gL/KP8c0dIqq0Rkw==
Preferred dataset: abridged and cleaned version of original dataset. Contains only labour relation data; removed duplicate individuals.
Nov 19, 2020
Hofland, Olav, 2018, "Belarus 2000 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset]", https://hdl.handle.net/10622/UZ5ULR, IISH Data Collection, V3, UNF:6:aK7H4X+/LYoSMDX79xZ6tg== [fileUNF]
Labour Relations in Belarus: 2000 An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, le...
Tabular Data - 8.3 MB - 48 Variables, 65535 Observations - UNF:6:5JqYrkO/0wXgB8PENIXhwg==
Preferred dataset: abridged and cleaned version of original dataset. Contains only labour relation data; removed duplicate individuals.
MS Word - 15.4 KB - MD5: 4e38755837d64ad00ad2cca6eadbab47
Preferred dataset: abridged and cleaned version of original dataset. Contains only labour relation data; removed duplicate individuals.
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.