Data citation, attribution, and employability

dc.contributor.author Dailey, Meagan
dc.contributor.author Henke, Ryan
dc.date.accessioned 2017-01-13T00:19:05Z
dc.date.available 2017-01-13T00:19:05Z
dc.date.issued 2017-01-06
dc.description Poster: Demand from academic departments for linguists possessing data skills has remained low in the last decade despite an influx of new data-driven tools, research, and ability to manage data in ways not possible before the internet. We assessed two barometers of employability: academic job postings and course descriptions. A survey of the academic linguistic job market over 10 years reveals that despite the field becoming more reliant on digital data, employers are not asking that candidates be fluent in data management. We also surveyed course descriptions and syllabi from 25 of the top-ranked linguistics programs in the United States and abroad, finding that most universities do not offer training in basic data management, despite offering courses in data- driven subdisciplines. This poster presents the data supporting these points including data management hiring and training trends. en_US
dc.description.abstract Demand from academic departments for linguists possessing data skills has remained low in the last decade despite an influx of new data-driven tools, research, and ability to manage data in ways not possible before the internet. We assessed two barometers of employability: academic job postings and course descriptions. A survey of the academic linguistic job market over 10 years reveals that despite the field becoming more reliant on digital data, employers are not asking that candidates be fluent in data management. We also surveyed course descriptions and syllabi from 25 of the top-ranked linguistics programs in the United States and abroad, finding that most universities do not offer training in basic data management, despite offering courses in data- driven subdisciplines. This poster presents the data supporting these points including data management hiring and training trends. en_US
dc.description.sponsorship This material is based upon work supported by the National Science Foundation under grant SMA-1447886. en_US
dc.format.extent 1 en_US
dc.identifier.uri http://hdl.handle.net/10125/43571
dc.language.iso en-US en_US
dc.rights Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported Attribution-NonCommercial-ShareAlike 3.0 United States en_US
dc.subject data citation en_US
dc.subject attribution en_US
dc.subject Linguistics en_US
dc.title Data citation, attribution, and employability en_US
dc.type Conference Paper en_US
dc.type Presentation en_US
dc.type.dcmi StillImage en_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Poster_Dailey_Henke.pdf
Size:
659 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.62 KB
Format:
Item-specific license agreed upon to submission
Description: