Here are notes about what stories we will use to design cartoons. 1 Your first collaborator is yourself, and your past self does not answer emails Documentation is key if you want others (i.e. you in two years) to understand what you did. S1: I have a collaborator that will analyse the data and write the paper, but he is not allowed to ask me any question. S1: Can you check if my explanations will be sufficient for her to do his job.
Please send your feedback about the current video (now: v.3)! script Open FAIR data is the new standard (actual srt file available on github) Research data shall be free, digital, shared and re-usable. Only while open it will reach its true potential. Fostering collaboration, open data accelerates research, and even years after its production, by allowing easy preliminary and meta-analyses, open data can bring research on the right track.
Inside the eeFDM project, we are to produce videos for the promotion of RDM and open data toward researchers. Here is our first output, we are hoping for your feedback before producing the final tone. (So far, I have been doing the voiceover and we did not put any work in finding good music.) The video is available on Figshare (https://doi.org/10.6084/m9.figshare.7163396), the tone is not the definitive one. #give feedback: For RDM enthusiasts: Would you use it on your webpage and in your talks, if not, why ?
RDM makes data analysis more effective and efficient Following the results of our analysis of researcher’s relation to data, we do think that the argument can touch researchers and convince them to seek for help and information about RDM questions. However, we would need a stronger evidence that it is actually true, as well as an understanding of what part of RDM is particularly important for data analysis. So…
The very first Data Management Engagement Award, a competition sponsored by SPARC Europe, the University of Cambridge and Jisc to elicit new and imaginative ideas for engaging researchers in the practices of good Research Data Management (RDM). Our proposal is to link RDM with the open science movement via the Wikimedia suite of tools. Basically just share yours or others’ openly licensed research material via Wikimedia Commons to create an aggregated resource that can be used to improve Wikipedia.
The idea is to represent the idea that data archive is not putting the data in a place where nobody will ever look at it, but showing it to the world. The idea is to represent a building, with a scienctist working at its computer and pushing the “archive the data” button. Then it would show someone in the basement shovelling data into the corners, which a voice over stating that it is what people think archiving is.