This is a library for a generation that understands knowledge, values and ethics are the basis for the development of a more inclusive society
Teresa e Alexandre Soares dos Santos
This is a library for a generation that understands knowledge, values and ethics are the basis for the development of a more inclusive society
Teresa e Alexandre Soares dos Santos
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Social Sciences DataLab established in 2018 is an infrastructure included in the National Infrastructure Roadmap.
Originally established with funding from Fundação para a Ciência e a Tecnologia, in partnership with Universidade do Minho, the DataLab initially played a role in supporting the Survey of Health, Ageing and Retirement in Europe (SHARE) project. Through this collaboration, it enabled researchers to access and analyse high-quality data on ageing populations across Europe, contributing to internationally comparable research in the social sciences.
The DataLab is currently undergoing a significant transformation with the development of a new Safe Center facility under the DataLab2030 initiative. This project is funded by the LISBOA2030 Programme and the European Regional Development Fund. The new infrastructure is designed to substantially enhance computational capacity, ensuring the secure processing of large-scale and sensitive datasets. Equally important, it introduces a strengthened framework for scientific governance, aligning with best practices in data protection, ethical oversight, and reproducible research.
In collaboration with a network of public institutions, DataLab also provides the research community with access to unique and otherwise hard-to-obtain large-scale datasets, including detailed microdata. This positions it as a critical national infrastructure for advanced empirical research, supporting data-intensive projects while ensuring compliance with strict legal, ethical, and security standards.
Datalab resources are available to Nova SBE registered students, faculty, and staff.
If you are not affiliated with Nova SBE and wish to access Social Sciences DataLab resources, please contact the Library.

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