Difference between revisions of "Data Management Training/core skills research"

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Revision as of 13:59, February 2, 2017

Recommmended articles from Matt Mayernik:
- Goben, A. & Raszewski, R. (2015). Research Data Management Self-Education for Librarians: A Webliography. Issues in Science and Technology Librarianship, Fall 2015. http://doi.org/10.5062/F4348HCK
- Applying Translational Principles to Data Science Curriculum Development, Lyon et al 2015. http://phaidra.univie.ac.at/o:429552
- Press release from ~ 10/2016 about a grant the authors above received from the IMLS to study some of this: http://datascienceinlibraries.org/ and http://www.ischool.pitt.edu/news/09-15-2016.php
- Research center insights into data curation education and curriculum, Mayernik et al 2014. http://n2t.net/ark:/85065/d7bc40z3
- Preparing the workforce for digital curation, National Research Council report 2015. https://www.nap.edu/read/18590/chapter/1

Report on Oceanographic Instrumentation Technician specifications for skills referenced by Shawn Smith at Florida State University: http://wiki.esipfed.org/images/6/60/SSmith_KnowledgeSkillGuidelines.pdf
- This approach is a model that we've looked at to see if it might prove to be one we could work with / recommend
- Shawn Smith presented his work on devising this set of core skills for ocean instrumentation techs at our meeting on June 2, 2016. See meeting notes for details at: http://wiki.esipfed.org/index.php/Data_Management_Training/meeting_notes_20160602

Examples of data science / analysis jobs shared by Shelley Stall from AGU:

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