What I have done this week at work? I don’t remember. I think, I did something, at least I felt busy. But it couldn’t be anything important, if I can’t remember it.
But I remember, we had a very nice dinner with library director Ann and her husband David and some of their friends, at the local restaurant. Good food, drinks and a lots of laugh. All very important. 🙂
Yesterday we went to Melbourne to see the Lion King musical. It was an amazing performance. Before the show, we ate Italian food I love. Melbourne is organized, nice city, where is easy to travel. We are now familiar with the city center and trams. Therefore we can easily enjoy all nice things a big city can offer. For me, there is a large botanic garden, museums and theater, for the boys superb comics and game shops and the zoo.
Picture 1: In the Regent Theatre to see Lion King. © Mikael Niku
Spring is here, even the weather is not warmer, but fruit trees are blooming and a allergy medication advertising begins in TV (= certain sing of spring).
Have you seen a dataset lately?
While I can’t remember what I did at work, I remember that Blair pointed out something about the article, I shared on my last blog post (Joanna Richardson, Rebecca A. Brown, Malcolm Wolski (2015): Developing new skills for research support librarians). He had highlighted the quotation:
“For many academic librarians moving into the data management space, “data” is just a word. How many academic librarians have seen a dataset recently? . . . . If I could have seen a raw dataset or data collection prepared for sharing and reuse, versioned correctly, saved in an appropriate file format, licensed, assigned a DOI, described using an appropriate metadata schema, uploaded into a content management system, and made discoverable for reuse, then I think I could have saved many hours of reading and scratching my head.”
I think this quotation hits the nail on the head. I got this week a couple of emails where mentioned this very same problem. It would be so much easier to think about metadata or documentation of dataset, if you actually have seen the dataset or any dataset. And the variation between different types of datasets need to be understand as well.
What can we do? Where can we see the datasets?
There is no lack of available datasets. See here:
Sometimes it’s difficult to read or even partly understand a dataset, but that’s so much easier, than manage data in real life. But nevertheless, it’s not mission impossible. It’s mission important and interesting.
We all have seen a dataset. Or can we make a master thesis without data? But how to get to know the data management of other disciplines? You can make an interview, of course. If you want to know more information about data interviews, please explore here:
But interview can’t give you a real life experience. Therefore, should we try to work a while in a research group, managing the data? Yes, I think so.
I bet, it would be a nice adventure!
Joanna Richardson, Rebecca A. Brown, Malcolm Wolski (2015): Developing new skills for research support librarians http://www.tandfonline.com.libproxy.helsinki.fi/doi/full/10.1080/00049670.2015.1041215#abstract [link to Helsinki University library collection, link is not working else where].