[open-science] DST4L - Data Scientist Training for Librarians, Denmark's Technical University, Dec.7.-9.

Mon Oct 10 19:12:05 UTC 2016

Dear Open Science list,

As part of organizing Data Scientist Training for Librarians (DST4L), we hereby would like to promote the upcoming event at Denmark’s Technical University in the days Dec. 7th – Dec. 9th.

Data Scientist Training for Librarians<http://www.dst4l.info/> (DST4L) is an experimental course, started at the Harvard-Smithsonian Center for Astrophysics John G. Wolbach Library<http://www.cfa.harvard.edu/lib/> and the Harvard Library<http://library.harvard.edu/> to train librarians to respond to the growing data needs of their communities. Data science techniques are becoming increasingly important to all fields of scholarship. In this hands-on course, librarians learn the latest tools for extracting, wrangling, storing, analyzing, and visualizing data. By experiencing the research data lifecycle themselves, librarians develop the data savvy skills that can help transform the services they offer. Read more about the program here<http://www.aspbooks.org/publications/492/031.pdf>.

Thanks to the great souls and engaged librarians at the DTU Library<http://www.bibliotek.dtu.dk/>, The Royal Library in Copenhagen<http://www.kb.dk/>, and The Royal School of Library and Information Science<http://www.dst4l.info/about.html> and fundings from our contributors<http://www.dst4l.info/contributors.html>, DST4L is coming to Copenhagen, again. The course is without cost and open for Registration from September 20th to October 9th. Space is limited and acceptance will be based on the strength of your application. The organizers will review the applications and return with final answers to those that will be able to attend physically. The workshops runs from December 7th to December 9th andthe schedule can be found here<http://www.dst4l.info/schedule.html>. Please take a look at the schedule to see if you can commit to the program before registration. If you cannot attend the workshop, material will be made available via the DST4L @ Copenhagen website<http://www.dst4l.info/> after the event is over. The workshop will be live streamed and recorded for people not attending the 3 days.

Please sign up for registration here: https://docs.google.com/forms/d/e/1FAIpQLSfZJPIztdqMZ10VC2jMwUl1OC79qYKyT9bXa7myNEOEDLpl4A/viewform

before 18.00 (CEST) this coming Wednesday October 12.

With best regard,

on behalf of the DST4L organizing team

Michael Svendsen |Open Access Coordinator | MLISc
Research Support Services: http://kub.kb.dk/researchsupport/openaccess
Copenhagen University Library | The Royal Library
M:misv at lb.dk, T: +45 91324589 | Twitter: @tullemich
OrcID: http://orcid.org/0000-0002-5807-5326

DST4L Inspiration to get started

Get your hands dirty! Data Scientist Training for Librarians in Denmark<http://rauli.cbs.dk/index.php/revy/article/view/4976>

Kaitlin Thaney’s Slideshares<http://www.slideshare.net/kaythaney>
Mozilla Science Study Group Handbook<http://mozillascience.github.io/studyGroupHandbook/> & Lessons<http://mozillascience.github.io/studyGroupHandbook/lessons.html#lessons>
Instructor Training Kit<https://mozillascience.github.io/instructorTraining/>

Data Scientist Training for Librarians<http://www.aspbooks.org/publications/492/031.pdf>
Teaching Librarians to Be Data Scientists<https://zenodo.org/record/11217#.VVWNNGTF9Q8>
DST4L Student Blog Stories (w/ Notes & Resources)<http://altbibl.io/dst4l/category/blog-posts/>

Free Your Metadata
<http://freeyourmetadata.org/>Getting Data Into Shape With OpenRefine
<http://altbibl.io/dst4l/getting-data-into-shape-with-openrefine/>RefinePro Tutorials<https://www.youtube.com/channel/UCTlZlc9_V3ZaMbvoQ25fyIw>

Zenodo: A New Innovative Service for Sharing All Research Outputs<http://ditwww.epfl.ch/cgi-perl/EPFLTV/home.pl?page=video&lang=2&t=1&connected=0&id=2189&plugin=9&checkplugin=1>
Zenodo. Research. Shared. Slides<http://www.eifl.net/sites/default/files/resources/201409/zenodo_webinar_feb_20142.pdf>

Good Resources for Learning Git and GitHub<https://help.github.com/articles/good-resources-for-learning-git-and-github/>

Learn Python the Hard Way<http://learnpythonthehardway.org/book/index.html>
Codecademy Python<http://www.codecademy.com/en/tracks/python>
Introducing IPython Notebook<https://opentechschool.github.io/python-data-intro/core/notebook.html>
A Crash Course in Python for Scientists<http://nbviewer.ipython.org/gist/rpmuller/5920182>

Alice Thudt’s website<http://alicethudt.de/>
Design for Interactive Data Visualization<http://altbibl.io/dst4l/design-for-interactive-data-visualization/>
Variations on a Theme<http://altbibl.io/dst4l/gabriel-florit-boston-globe-visualizations/>

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