To share foreign language databases for grant applications, you must provide a comprehensive data management plan that includes translated metadata, standardized formatting, and clear English documentation so reviewers can accurately evaluate your datasets.
When applying for research funding, grant committees (such as those at the NIH or NSF) require a robust Data Management and Sharing Plan (DMSP). If your research relies on international datasets or non-English databases, you must prove that this data is accessible, transparent, and reproducible for the broader scientific community.
Here are the essential steps to properly share foreign language databases in your grant proposal:
1. Translate Metadata and Codebooks
While the raw data itself (such as numerical values) may be universal, the variables, column headers, and codebooks are likely in a foreign language. You must provide a fully translated English data dictionary. This ensures that grant reviewers and future researchers understand exactly what each variable represents, how it is measured, and what the missing data codes mean.
2. Provide Context and Methodology in English
Reviewers evaluate the rigor of your proposal based on how the database was originally compiled. If the database's foundational research or documentation is published in another language, you must clearly summarize its methodology in English. When reviewing these original source materials, WisPaper's AI Copilot can translate full foreign-language papers instantly, helping you accurately summarize complex data collection processes for your reviewers without missing critical nuances.
3. Use Standardized, Open Formats
Foreign databases are sometimes stored in regional or proprietary software formats that are not widely used internationally. To guarantee accessibility, convert your datasets into universally accepted, non-proprietary formats such as CSV, JSON, or TXT. Mention this conversion process explicitly in your grant application to demonstrate your commitment to open science.
4. Choose a Globally Recognized Repository
Select a reputable, international data repository to host your shared database. Platforms like Zenodo, Figshare, Dryad, or discipline-specific repositories (like ICPSR for social sciences) are highly regarded by grant committees. Ensure the repository you choose supports multilingual metadata tags so that the database remains searchable in both English and its original language.
5. Budget for Translation and Curation Costs
Many major funding agencies allow you to include data management costs in your grant budget. If your foreign language database is massive and requires professional translation, formatting, or specialized curation before it can be shared, explicitly list these expenses in your budget justification. Reviewers appreciate researchers who realistically anticipate the costs of making international data accessible.
