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capture ideas from the Dataverse Installation Personas poster by @janetm #16
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The poster is wonderful @janetm. Very useful! I would add a few other things that could characterize a Dataverse persona:
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Hi Mercè
Great suggestions! everyone keep them coming. We are trying to build as many characteristics as possible to describe ‘all’ installation personas.
At the conference this week we had a few queries about Dataverse from bioinformatics groups, and if we’d had our installation persona ‘interface’ (still scoping) I could have easily identified an installation they could have looked at, with similar data and storage requirements, for example.
Anyway this is still in progress and thanks to Phil, Tania and Sacha again.
Janet
On 25 Oct 2019, at 04:46, Merce Crosas <[email protected]<mailto:[email protected]>> wrote:
The poster is wonderful @janetm<https://github.com/janetm>. Very useful!
I would add a few other things that could characterize a Dataverse persona:
* Research domain: (All; social science, structural biology, etc)
* Support website (an associated website about that Dataverse installation)
* I'm not sure what "Scope" means here, but it would be useful to indicate whether is a consortium of universities or organizations, or a single University, etc
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hi All
While we're on this conversation, one tool we are going to test as an 'Installation Persona Interface" is VIVO. Sacha (Uni Montreal Quebec) has an instance approved for testing, once we have built sufficient characteristics.
Using Vivo to keep track of and find Dataverses:
#2
thanks
Janet
…________________________________
From: Philip Durbin <[email protected]>
Sent: Friday, 25 October 2019 10:20 AM
To: IQSS/dataverse-installations <[email protected]>
Cc: Janet McDougall <[email protected]>; Mention <[email protected]>
Subject: Re: [IQSS/dataverse-installations] capture ideas from the Dataverse Installation Personas poster by @janetm (#16)
Yes, great suggestions, @mercecrosas<https://github.com/mercecrosas>
For this one...
Support website (an associated website about that Dataverse installation)
... I'm already capturing this as about_url in data.json. Here's a one liner to show all these great "about" websites that have been created:
cat data/data.json | jq '.installations[].about_url' -r | grep -v ^null | sort | while read i; do echo "- $i"; done;
* http://aussda.at
* http://data.tdl.org/about
* http://guides.scholarsportal.info/dataverse
* http://opendata.pku.edu.cn/about.xhtml
* http://site.uit.no/dataverseno/deposit/
* http://www.library.virginia.edu/libra/datasets/
* https://ada.edu.au
* https://blogs.ntu.edu.sg/lib-datamanagement/about-dr-ntu-data/
* https://dans.knaw.nl/en/about/services/archiving-and-reusing-data/DataverseNL/about?set_language=en
* https://odum.unc.edu/archive/
* https://qdr.syr.edu/about
Right now I'm showing these "about" website on the map as a link called "More..." like this:
[Screen Shot 2019-10-24 at 7 15 03 PM]<https://user-images.githubusercontent.com/21006/67532077-edfdc480-f692-11e9-92bf-75ee44223fbe.png>
And the data comes from this spreadsheet right now: https://docs.google.com/spreadsheets/d/1l2R9D1FQy88qVzg2bI6L1LgplmM2l7pnMI80jdiz4fk/edit#gid=639378778
[Screen Shot 2019-10-24 at 7 16 50 PM]<https://user-images.githubusercontent.com/21006/67532078-ee965b00-f692-11e9-9d82-14bfa28c8b31.png>
My plan is to move as much data as possible to the crowdsourced spreadsheet at https://docs.google.com/spreadsheets/d/1l2R9D1FQy88qVzg2bI6L1LgplmM2l7pnMI80jdiz4fk/edit?usp=sharing
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@janetm hmm, this makes me think that the popup on the map should give you a "geek mode" option where you can see the whole stack... CentOS vs Debian, AWS vs Google Cloud, S3 vs Swift, etc. IQSS/dataverse#1059 (comment) |
On a related note, @TaniaSchlatter @jggautier and others worked on a "Personas for software" poster (and all the research behind it) in 2021. Screenshot below. Announcement here: https://groups.google.com/g/dataverse-community/c/MrNra9rKbUI/m/mAjACbfLAAAJ |
This week @janetm presented a poster called Dataverse 'Installation Personas' at https://conference.eresearch.edu.au/2019-poster-eposter-presentations/ and here's a screenshot:
For a high resolution PDF: https://conference.eresearch.edu.au/wp-content/uploads/2019/10/Janet-McDougall-eRA2019_McDougall_Janet.pdf
My question is, how can classify the 50 installations of Dataverse?
When you click ADA on the map and see a pop up like this...
... should the pop up contain some of the characteristics from the poster? Here's what the poster shows for ADA:
ADA is not the only installation on the poster. Here are all four:
I'm thinking that perhaps we don't want all of this on the map popup immediately but perhaps some of these attributes could be captured in columns on in the "Crowdsourced information about Dataverse installations" spreadsheet: https://docs.google.com/spreadsheets/d/1bfsw7gnHlHerLXuk7YprUT68liHfcaMxs1rFciA-mEo/edit?usp=sharing
Here's how that spreadsheet looks right now:
What I'm trying to say is that once we have collected the data, we can visualize it in a variety of ways. We can get creative. 😄
In my mind the next step is to start adding columns to the spreadsheet above. Authentication is pretty easy to verify, I think. You just visit each installation check what they have enabled. But is that the most interesting column to add first? Is "big data" more interesting? Do we let installations opt-in to a new column called "big data"? Do we help these installations find their way to https://groups.google.com/forum/#!forum/dataverse-big-data ?
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