How can data be shared with other researchers through academic social platforms?

Data sharing via academic social platforms occurs through integrated repository functions that enable researchers to upload datasets, assign metadata, and manage access permissions directly within the platform interface. These platforms connect datasets to researcher profiles, publications, and networks, facilitating discoverability and collaboration. Platforms like Figshare, Zenodo (integrated with many platforms), or ResearchGate's dedicated sections support this functionality while adhering to FAIR (Findable, Accessible, Interoperable, Reusable) data principles. Successful data sharing requires selecting a platform-integrated repository supporting the data type and volume. Researchers must provide comprehensive metadata (including methodology descriptions and variable definitions), select appropriate access licenses (e.g., CC BY for open access, or embargo/restricted access options), and rigorously anonymize sensitive information to uphold privacy regulations and ethical standards. Clear documentation and usage licenses are essential to ensure data is interpretable and reusable while protecting intellectual contributions. Begin by accessing the "Add data" or "Upload" feature on the chosen platform repository. Upload the dataset files alongside comprehensive documentation files (e.g., README.txt, codebooks). Assign detailed metadata tags, keywords, and associate it with relevant publications or projects. Select a suitable reuse license and access level (public, restricted request, or embargoed). Finally, publish the dataset to receive a persistent identifier (e.g., DOI), enabling citation and trackable sharing within the academic community, enhancing research transparency and impact.