**RDM training ideas, fall 2021**
* Introduction to Github (Richard, Jarno)
* RD: +1, CodeRefinery does this but also a shorter intro would be neat as an introduction.
* "Minimal getting started course that doesn't try to teach things perfectly but gets you going enough to prevent chaos"
* Introduction to RDM +1
* How to manage a codebase (repository) in the research group over time; avoiding single user namespaces in Aalto Version / Github and using group or shared account instead; +1
* Data Management Plans - best practices and tips (Kati)
* Documentation - best practices (how to describe what you have done so you can recall it easily even years later)
* Research Data Management - best practices
* Metadata standards, good metadata practices
* How to agree on code ownership and licensing
* How to develop a software application to help with the actual research, when the research is not about software (thesis worker, research software engineer, hire for the project, sw company as a partner)?
* How to develop mobile applications and what support do we have in Aalto for that
* Hands on training on how to fill in a privacy notice / statement request for ethical review
* And perhaps DPIA? --> yes, there needs to be a session to inform how the process and step is done at Aalto (at least)
* Yes this could be an extension of "how to handle personal data" which is more the "theoretical background" and cover the process and steps. Then the "hands on" lectures can be on
* collecting (privacy notice + ethics + DPIA etc & techniques for personal data collection, ping Ilari)
* storing (Ilari's lecture + hands on eventually)
* anonymizing (hands on anon)
* processing (secure computing for very sensitive data, ePouta, etc)
* sharing (internally and or externally)
* Make your data/software FAIR
* How to handle personal data (repeat) as privacy policy and interpretations of GDPR are changing +1 (Enrico, Päivi)
* How to store research data / How to store personal or confidential research data (Ilari)
* Is there a need to split this by discipline? Is there a big enough difference whether the research subject is *human* (surveys, health) or *technology*? (research where personal data is users of a website or an app?)
* -> use examples for different storage options
* One or two webinars
* Artistic data (sharing, storing/archiving, metadata; Essi)
* Supervisor training (recognizing that you don't have time to do it yourself and you need to encourage your group to do it well)
* The challenge with this is supervisors (professors) are too busy and likely they don't made this topic their priority, unless there is "pressure" or formal demands from the HoD or the Dean.
* Busy professors, a case for self learning video?
* IT Services for Research team is preparing induction material for new professors. Data management practices & services should also get to induction material (perhaps separate from IT).
**Starting in fall 2021, our webinars will be open to everyone. How can we improve the practical arrangements?** +1
* Share all videos on Youtube and/or share them with the participants?
* All videos put on Youtube must be captioned (do we have enough people to do it?) --> I think the best we can do is to enable Youtube auto caption --> then we just have to accept that the quality of automatic captions are not always very good quality
* RD: every video I have put on youtube for SciComp has been automatically captioned without any work from me, and they seem pretty reasonable. ES: My experience is that the automatic captions don't always work very well, especially if the speaker is not native
* Subtitles can be purchased from a professional, if quality is desired
* --> anything that makes us independent from Youtube is preferable --> I'm also happy with this option if there is budget for this.
* If it is published anyway, wouldn't pre-recorded sessions make sense? And then, they could be watched at any time. Why still have live-seminars? --> Live seminars will facilitate live interaction between audience and speakers, in youtube / twitch, viewers can communicate and comment in the chat live, and speakers can comment live
* Instead of pre-recorded sessions I'd produce tutorial videos for online self-learning. Recorded live webinars are inexpensive alternative to that.
* :+1: This is what I meant below with the "MOOC" style courses
* RD: these days I am a fan of a mixed model, livestream with HackMD for interaction, you look at it like producing a TV show with live audience, the recording is just as important as the live part.
* We should identify topics that are better handled by online tutorials without live interaction, and those that need live interaction, then recorded live-sessions are good enough for publishing.
* +1 +1
* Advertise to new groups outside of Aalto?
* We can use the existing FAIR networks nationally and internationally. Need to identify which orgs and find the contact person/ channel there to advertise.
* RDA - group
* We can utilize CSC Datatukiverkosto, local data support can advertise to their own researchers and the network could be useful to find collaborators for joint trainings.
* Give up using Workday because it is only for Aalto employees?
* Yes!
* Also agree. If the training is more open to public, doesnt make sense to use Workday which is limited only to Aalto employees
* I agree
* Can we do that? Training for Aalto employees ***really should*** be findable at Workday. One place to find everything, isn't that handy?
* At least with those I have asked, they are not able to find things on workday, but sure a single place would be ideal... but maybe mycourses is more useful for our audience (doctoral candidates, postdocs)...?
* I have to say that IMO, Workday UX is just poorly designed, such that it makes it less usable and difficult to find things and do things.
* Could it be possible to have just one entry in WD with link to RDM training page where the registration etc. is available? Or is it useful, I don't know...
* Do we have a system that would immediately send a calendar link to those enrolled?
* RD: I think I've seen webropol do this for one of my events? Never tested it myself
* RD: Twitch or streaming + aggressive marketing
* I noticed that with OBS, we can stream to both Youtube and Twitch simultaneously
* Polls
* RD: Joint trainings with other universities, share the work? This has made SciComp trainings much more enjoyable to host.
* +1
* Good idea!
* We have lots of video recordings, it would be nice to work on a "MOOC" system that people can take the courses by themselves and coming to the "live" lecture more for asking questions
* --> The simpler form is create a Youtube channel (named Aalto RDM or whatnot), then create a playlist of videos grouped according to specific topics or "learning path".
* --> There actually is a Youtube channel already with playlists RDM trainings Autumn 2020 and Spring 2021 (but it would be a good idea to have playlists according to topics) (There will be a news item on the spring training recordings etc. coming up soon)
* Indeed, although people are still struggling to find it (and of course we are here to help them finding it). The usual comment I get "wow I had no idea we had so much content on the topic" :)
* why always Youtube? Is there no alternative? Are we giving a good example when we use a US-based, non-open, tax-avoiding platform? What if a data-agent does not agree that his recording is published in Youtube?
* Youtube has alternative video licensing of CC By 4.0 (rather than standard youtube video license), so in that sense its open source-compatible
* There are alternatives, Youtube i suppose is good in the sense that it has the biggest community, followed by Twitch (which is mostly occupied by gaming community)
* --> It's the last place where I would look for Aalto training, as also others have commented
* --> Aalto has licence to Panopto, but the automatic captioning is super lousy. Other ideas are welcome!
* RD: I wanted to find a youtube alternative a year ago, but unfortunately I settled on youtube as the best balance of findability, features (captioning), long-term archival
* --> Findability is a matter of informing. Youtube is not the place to look for Aalto trainings, so there must be a place in aalto-fi where any place cvan be linked. --> Actually many Open courses and lectures organized by prestigious universities (MIT etc) are available in Youtube also.
* --> Captioning is a matter of funding a good alternative service (from Finland, generating tax money in Finland)
* --> Does Youtube really guarantee long-term availability? afaik they can delete any video at any time as they wish. And do we even need long-term availability for our training videos?
* I suppose as like any other platforms, they only delete if there is possible infringmenet or breach of community standards, otherwise it won't happen
* RD: yeah, nothing is guaranteed but I have slightly more confidence in youtube's long-term future than Aalto contracts with various services.
* Also the set of courses we provide is a nice curriculum on data management ABC, some more motivated participants could get a credit for it.
* One lesson learned from the hands-on anonymization course is that we need (more) solutions for NON-coders. I tried to keep a parallel track "those who do it with / without code" but definetely the bottleneck is more on teaching hands on graphical tools (excel-like)
* It would be nice to have a map of all these courses and how they link with each other, a learning path for everyone who is not able to find