Survey data are an essential part of research across the social sciences. Recently, a joint effort between the research network, COST Action-16111- ETHMIGSURVEYDATA (The International Ethnic and Immigrant Minorities’ Survey Data Network), the H2020-funded project, SSHOC (Social Sciences and Humanities Open Cloud), and the ANR-funded project, FAIRETHMIGQUANT has sought to implement Open Science practices that improve access to and usability of quantitative survey data relating to the economic, social, and political integration of ethnic and migrant minorities (EMMs) in Europe by building the EMM Survey Registry (https://ethmigsurveydatahub.eu/emmregistry/), a detailed census of over 800 surveys conducted across 35 different countries, primarily in Europe. Most of the surveys that have been identified have not been deposited into a data archive or repository, an essential step in implementing FAIR data practices (Findability, Accessibility, Interoperability, Reusability).
This project proposes to evaluate which incentives are most effective at ‘nudging’ data producers to deposit their data by randomly providing one of four incentives to data producers:
(1) The Civic Duty Incentive: Data producers will receive a letter encouraging them to deposit their survey into an archive or repository by offering information on the various options available as well as the advantages of depositing the data.
(2) The Reputation Incentive: Data producers will receive a letter similar to group (1) but with the addition that those who submit their data before a certain deadline will be automatically entered into a prize competition for the five best deposited dataset.
(3) The Financial Support Incentive: Data producers will receive a letter similar to group (1) but with the addition of an offer to provide funding for a postgraduate assistant on their team to assist with preparing the data and documentation for submission to a data archive or repository.
(4) The Data Archive Support Incentive: Data producers will receive a letter similar to group (1) but with the addition of an offer of free support from a data archive for the preparation of data and documentation.
A task force, which will bring together different stakeholders in the data sharing process (data producers, users, and managers), will be responsible for rigorously designing, implementing, and managing each of the four incentive options. However, this project is in need of funding in order to be fully launched. When completed, this project will help to better understand how to encourage data producers to implement Open Science practices.