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The purpose of this paper is to fill several knowledge gaps regarding the contents of collective agreements, using a new online database. The authors analyse 249 collective agreements from 11 countries – Benin, Brazil, Ghana, Indonesia, Kenya, Madagascar, Peru, Senegal, Tanzania, Togo, Uganda. The authors research to what extent wage and other remuneration-related clauses, working hours, paid leave arrangements and work-family arrangements are included in collective agreements and whether bargaining topics cluster within agreements.

The authors use the web-based WageIndicator Collective Bargaining Agreement Database with uniformly coded agreements, that are both collected and made accessible online. The authors present a quantitative multi-country comparison of the inclusion and contents of the clauses in the agreements.

The authors find that 98 per cent of the collective agreements include clauses on wages, but that only few agreements specify wage levels. Up to 71 per cent have clauses on social security, 89 per cent on working hours and 84 per cent of work-family arrangements. The authors also find that collective agreements including one of these four clauses, are also more likely to include the other three and conclude that no trade off exists between their inclusion on the bargaining agenda.

Being one of the first multi-country analyses of collective agreements, the analysis is primarily explorative, aiming to establish a factual baseline with regard to the contents of collective agreements.

This study is unique because of its focus on the content of collective bargaining agreements. The authors are the first to be able to show empirically which clauses are included in existing collective agreements in developing countries.

The purpose of this paper is to recommend the use of internet data for social sciences with a special focus on human resources issues. It discusses the potentials and challenges of internet data for social sciences. The authors present a selection of the relevant literature to establish the wide spectrum of topics, which can be reached with this type of data, and link them to the papers in this International Journal of Manpower special issue.

Internet data are increasingly representing a large part of everyday life, which cannot be measured otherwise. The information is timely, perhaps even daily following the factual process. It typically involves large numbers of observations and allows for flexible conceptual forms and experimental settings.

Internet data can successfully be applied to a very wide range of human resource issues including forecasting (e.g. of unemployment, consumption goods, tourism, festival winners and the like), nowcasting (obtaining relevant information much earlier than through traditional data collection techniques), detecting health issues and well-being (e.g. flu, malaise and ill-being during economic crises), documenting the matching process in various parts of individual life (e.g. jobs, partnership, shopping), and measuring complex processes where traditional data have known deficits (e.g. international migration, collective bargaining agreements in developing countries). Major problems in data analysis are still unsolved and more research on data reliability is needed.

The data in the reviewed literature are unexplored and underused and the methods available are confronted with known and new challenges. Current research is highly original but also exploratory and premature.

The paper reviews the current attempts in the literature to incorporate internet data into the mainstream of scholarly empirical research and guides the reader through this Special Issue. The authors provide some insights and a brief overview of the current state of research.