By Julien Colomb | August 7, 2018
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. It was great. It was a small piece of scientific knowledge, but I was the first person in the world to know about it.” so speaks Keren Limor-Waisberg when asked for her happiest data moment.
Beginn transmission
1. data management for data analysis
v1: time machine
Dear myself, I have sent us this message through time. If my calculations are right, you will receive this message a bit before starting your PhD. The transmission may be stopped any time, my message is simple: call the Research data management helpdesk, let them help you! .
Put the data in a format the future you will be able to analyse.
I went to a data analyst and told him I had a few excel sheets to analyse, he has just faked death to avoid having to deal with our mess. I don’t blame him. Because the data analysis is the last steps before getting scientific answers, you think it will go smoothly, like I did! If only I knew: a successful and efficient analysis is prepared before data acquisition starts.
So: design our analysis first, accordingly, plan
what variables to record, what digital format to use, how and where to save the data. For our spreadsheet data, use a tidy format, please keep away from nice looking charts, believe me, we will need computer readable tables.
I remember that you have no clue about this, but don’t panick, the research data management helpdesk of the university already exists. You only need to give them a call. I have wasted so much time, please save us the pain. Get it right, for me, for us.
And also, we will need to combine our data with our colleagues’, so please do not forget to r…
End of transmission
researchdata@uni-jena.de
V2: Data manager fairy
What to do to get data in a state where it is easy to analyse? No problem, I am coming right away, with my magical book and wand.
Prepare data for analysis
V3: data manager as super hero:
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… Oh no! there are problems with the data!
In brightest day, in blackest night, No data shall escape my sight. Let those who start their research fight listen to my advice… data managers’ light.
Know how your data will be analysed before you start collecting it! You will then be better armed to plan and choose how you will collect the data, in which format you will digitalise it, and how you will organise and save it.
Beware, you might be a lucky researcher and someone already created standard data formats and analysis tools that you can use. Look for it.
And remember, you might need to combine different datasets to answer your question. Make your data ready for it: use or create standard vocabularies, plan data conversions and do not forget to…
Want to know more, check at your institutions how you can get personal conselling.
v4: wizard of oz: + well known - not pop culture - no direct call to action
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… Oh no! there are problems with the data!
Why, anybody can produce data. That’s a very mediocre commodity. Back where I come from, we have universities, seats of great research, where men go to produce great data analysis. They get great analyses done and with no more data than you have. But they have one thing you haven’t got: data management. So says the data managers in Oz, a very good men, but a very bad Wizards. Listen
Know how your data will be analysed before you start collecting it! You will then be better equipped to plan and choose how you will collect the data, in which format you will digitalise it, and how you will organise and save it.
Beware, you might be a lucky researcher and someone already created standard data formats and analysis tools that you can use. Look for it.
And remember, you might need to combine different datasets to answer your question. Make your data ready for it: use or create standard vocabularies, plan data conversions and do not forget to…
Want to know more, check at your institutions how you can get personal conselling.
All you need is a good data management plan. There is no researcher who is not afraid when it faces the new #opendata standards. The true courage is in facing these difficulties early on, and that kind of wit you have in plenty.
Your dataset is not judged by how much you love it, but by how much it is loved by others.
v5: it’s a wonderful life: (one could also go the other way and take only images of that movie for the whole movie, changing the voices) + movie (but not sound/music) is public domain + strong emotional background fo those who have seen the movie (=whole USA) + easier to handle the video - no call to action
I am just curating data, instead of gathering some new one, I will not get tenure…
You’ve been given a great gift, George: A chance to see what your research would be like without data managment.
Where is the martini files? Never heard of it.
Where is my paper? you will not like it: it was retracted because you could not provide the raw data.
It was right there, in the repository. There have never been any repository, you were not there to build it.
…
Bring me back, bring me back. telegram: it is your funding agency: they want to give you a job. Another one, it is a pharma/startup/NGO/… company, you got the job.
Dear George, Remember, no researcher is a failure, who has well managed data.Thanks for the wings, Clarence
v6 video game classics
mario: Thank you Mario. But our princess is in another castle zelda: it#s dangerous to go alone, take this Master using it and you can have this secret power is said to be in the arrow