I really learned a lot about the (virtual) infrastructure that is already available for various aspects of open science (data management etc.). This is not yet taught or introduced often enough , I think. 

The most interesting moment for me was probably the content from Week 5, on science communication. As I don't work directly as a scientist (rather I support their scientific research by, among other things, helping them navigate various open access requirements and with research data management), I don't have many opportunities to communicate my work with the general public, and I was very impressed by the work being done in this area.

I think for me learning about citizen science was the most exciting thing. Whilst it feels less relevant to day-to-day academic research, the potential a citizen science platform has if it could integrate data-collection, data-analysis (including training), discussion, and a home for new projects is huge. I find this especially exciting for psychology, where user could create profiles full of the results from whatever surveys they have taken, which could then be used again in other projects without taking up additional participant time. What an exciting potential future for science!

I learned so much it's difficult to pick just one thing! The one that made the most difference to me immediately though was learning about preprinting of papers. My PI then went and preprinted a paper on Bio-arXiv. It's a great service, I will definitely be using it in the future!

For me, the most interesting part was the Public Engagement Module, but the most surprising part was learning how many ways there are to open up one's research, and the plethora advantages this could have that we are missing out on in current practice!

I was not aware about citizen science, I found the concept very interesting. I think it has the potential to be very powerful in science communication, and could lead to completely different outcomes and decisions, which could progress certain fields drastically. I will continue to read about the success and problems of citizen science studies. 

My most interesting learning moment was during Week 5. I had not previously considered that open science practices can extend to science communication and public engagement. There were a number of terms (e.g. citizen science) that were new to me, and I was really interested to learn of the multitude of creative ways that science can be opened to the public.

I think the most suprising thing for me was to actually see how far open science has come for some researchers/organisations and there are lots of tools availble. I have been out of active research for about 10 years and in those years so many things have happened. I am a research administrator (preaward/proposal development) and not be in the loop beyond open access and open data. Exciting! thank you so much for increasing my knowledge about open science, so I can reuse and pass on.

I learnt a lot from this course. I was not aware of many things like publishing data, citizen science, websites for open science etc. For my project, I have to communicate science and from this course, I came to know that the best way to communicate science is to tell stories. I also learnt about data management plan which I am going to use in my project.

I learned a lot from each of the weeks lessons.

The most interesting (helpful) for me was the Preregistration, Preprints and Science Communication.

Overall, it’s an excellent course.

There was useful information every week. Especially the TED talk on how to tell about your research in the form of a story was interesting.

It was a very pleasant and dynamic course, I thank you to make it so "learner friendly". I learned the different faces of Open Science, including the concerns, benefits and drawbacks. One of the most surprising aspect for me was the "data management plan", which I was unaware.

There was useful components in each module each week in this course. 

Learning about the vast array of data management tools has been quite useful as I was not aware of these before.

The citizen scientist topic was very relevant to my current research and the reminder of how we need to communicate science as at the end of the day our work will only prove useful if others can understand it. I particularly found the Ted talk video of Professor Fergus McAuliffe brilliant at effectively demonstrating this message of clear communication. These were timely  tips as I am presenting my research next week and I will be sure to put that learning into good practice. 

The online tool for the data management plan is fantastic, I will definitely use it.

I found FAIR data confusing before I started. I understand it much better now.