For example, Atlas.ti informs its users on their GDPR-compliance publicly. If the software you are using requires cloud services, it is worth checking whether its official documentation, such as Terms of Service or website, contain relevant information about how they process data. Some tools require sending your data to another server (e.g., audio transcription services requiring you to send a recording to cloud computers).Īre you uncertain whether the tool you need requires the data to be moved to another server? Then we recommend that you take the time to read the Terms of Service and try to be as informed as possible. See DANS Preferred File Formats and UK Data Service Recommended Formats. Whether you are using a proprietary or open-source tool, make sure to save your files in open, accessible, and sustainable formats. Popular open-source tools include R and Python for general-purpose data processing, and Lime Survey, OpenSesame, and PsychoPy for data collection. Using open-source tools, you can examine exactly how your data are processed in the code, and you can make your research accessible, reproducible, and freely available for other researchers across the world. In general, using an open-source software helps you to make your research open and reproducible. Does your tool help you achieve reproducibility and open science? This page will guide you on how to choose good software to maximize openness and safety in your research. News & Calendar Open submenu News & CalendarĪs a researcher, you decide which software to use to process data.
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