Taylor & Francis and DataSeer study open data adoption in journals

When data generated as a result of academic research is well managed and shared openly, it enables ideas to flourish, and allows for stronger, more rigorous academic debate. At Taylor & Francis we support the sharing of data generated during the course of a research project. With the help of DataSeer, an AI solution provider, we discovered that across a sample of over 8,000 Taylor & Francis journal articles published in 2023, 52% included a data availability statement. This shows a very high adoption from researchers in data sharing. Read more in “Moving the needle on open data: A new study from Taylor & Francis”: http://spr.ly/6040ACO0M Read the press release: http://spr.ly/6041ACO03 #OpenData #DataSharing DataSeerAI