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Research data . Dataset . 2021

WageIndicator Collective Agreements Database Dataset with Full Texts and Selected Clauses

Daniela Ceccon; Gabriele Medas;
Open Access

Since 2012, the WageIndicator Foundation has maintained a Collective Agreements Database, where the texts of 1600 collective agreements (CBAs) from 61 countries and in 27 languages have been uploaded, coded and annotated. This database is a unique example at global level: collective agreements are documents containing conditions of employment that result from negotiations between independent unions and employers, and their content is often surrounded by an atmosphere of secrecy. Under the SSHOC project and with the support of the CLARIN Research Infrastructure, the agreements have been manually and automatically annotated on several levels: for each agreement, the team answers a series of questions and selects the appropriate piece of text (clause) for each. One of the results of the collective agreements' annotation process is the dataset which is available here and includes all the clauses selected for each variable (WageIndicator_CBADatabase_Selected_Clauses). The full collective agreements' texts are stored in another dataset, also available here (WageIndicator_CBADatabase_Full_Texts_211019). A codebook is also included (210125-wageindicator-cba-codebook.pdf).

{"references": ["Cite the full texts dataset: WageIndicator Collective Agreements Database - Full Texts Dataset . Amsterdam, WageIndicator Foundation, October 2021.", "Cite the selected clauses dataset: WageIndicator Collective Agreements Database - Selected Clauses Dataset . Amsterdam, WageIndicator Foundation, October 2021.", "Cite the codebook: Ceccon, D., Medas, G. (2021). Codebook WageIndicator Collective Agreements Database \u2013 Version 4 \u2013 January 2021. WageIndicator Foundation, Amsterdam."]}


Collective Agreements, CBAs, CBA, Collective Bargaining, Collective Bargaining Agreements, SSHOC, CLARIN, Digital humanities, Social sciences, FOS: Social sciences, Law and public administration, WageIndicator Foundation, Collective Agreements Database, Agriculture, Forestry, Horticulture, Aquaculture, Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine, Humanities, Jurisprudence, Law, Life Sciences, Social and Behavioural Sciences, Soil Sciences

Funded by
Social Sciences & Humanities Open Cloud
  • Funder: European Commission (EC)
  • Project Code: 823782
  • Funding stream: H2020 | RIA
Related to Research communities
Digital Humanities and Cultural Heritage DH-CH Projects : SSHOC