Method Here, we use the text collected and analysed so far (mostly via browsing the web, few direct contribution from the crowd), comparing it to a report from the research data alliance report. Both reports can be found as blog posts found under the category analysis. Summary We focused our analysis on three interesting content: Marketing strategies (how to reach researchers), arguments for research data management, and stories to tell.
At the universisty of Jena, we have proposed lecture of data analysis. In the lecture, we presented research data management topics as a prerequisite for a good analysis. This approach made it easier to “sell” it. Distributed under a CC0 license Collected by Julien Colomb, data manager
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.
Modified from https://research-data-network.readme.io/docs/senior-management-engagement (reorganise text and add comments), This is the result of the analyse of discussion in the UK community, remember that country specificities in working strategies and stories are to be expected. Use senarios and story-telling Accusation of fraud We all agreed that one strategy that works for almost all possible audience types are doomsday scenarios – disasters that can happen when researchers do not adhere to good RDM practice.
The Noon Talks are regular events that took place twice a year since 2016 at the Library. These events mainly cover scientific related topics such as preprints, open access, reusing content in theses, etc. The most efficient way to promote this event are our emailing list that we use to spread invitations on the campus. We obviously communicate as well on the common social media and via other channels (screens on the campus, online agendas, events lists, etc.
Topic: rdm for data analysis template: Start with sth positive. one-liner problem. get the fixed content for all videos (time travel, rdm professional ,…?) explain what can be done to fix the problem. Script: “It took a while for the scripts to run. I can still remember sitting there listening to the screeching sounds of the computer. And then one by one I got the results, and they all confirmed my hypothesis.
Copyright (c) Julien Colomb 2018, distributed under CC-BY 4.0
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