[Video] Open Data & Data Sharing Platforms

Ensuring proper dissemination of your research data is a great responsibility of any scientist. It is becoming more and more difficult to publish a scientific article without providing a data availability statement. Sharing of datasets, metadata, models, software, and other sources – promises to speed up discoveries, improve reproducibility and expand economic development. This structural change requires paying attention to reproducibility, integrity, data cleaning, and data fusion. When making a data set public we must be sure that we provide as much as possible the complete metadata and respect the codes of ethics on the disclosure of data (anonymity etc.).

In this video, I explain how a scientist can share their datasets in Open Data and the most famous data repositories. Open Data is about making your data available online in depositories and registering the data under an open-access license which allows other researchers to use it. Open Data includes raw data, clean data, code of analysis, or pre-registration protocol on how data was collected.

1. Open Data 0:37
2. Data Sharing Platforms 2:12
3. Data Sharing Criteria (FAIR) 8:52
4. Take Away 10:51

Watch and share 🔂 the video on Open Access Publishing. The 📽️ video is available here: https://lnkd.in/e56M2wz3

Subscribe to my 📰 newsletter: www.shadyattia.org

This video is part of a playlist on Open Science: https://lnkd.in/e7NWs5hZ
Look at my ☑️ recent posts' activities. https://lnkd.in/eR-jiXtR

#datasets#original#reproducibility#reusable#dissemination#FAIR#repository