Education for Real-World Data Science Roles (Part 2): A Translational Approach to Curriculum Development
This study reports on the findings from Part 2 of a small-scale analysis of requirements for real-world data science positions and examines three further data science roles: data analyst, data engineer and data journalist. The study examines recent job descriptions and maps their requirements to the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Edinburgh
2017-07-01
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| Series: | International Journal of Digital Curation |
| Online Access: | https://ijdc.net/index.php/ijdc/article/view/417 |
| _version_ | 1797389605092196352 |
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| author | Liz Lyon Eleanor Mattern |
| author_facet | Liz Lyon Eleanor Mattern |
| author_sort | Liz Lyon |
| collection | DOAJ |
| description | This study reports on the findings from Part 2 of a small-scale analysis of requirements for real-world data science positions and examines three further data science roles: data analyst, data engineer and data journalist. The study examines recent job descriptions and maps their requirements to the current curriculum within the graduate MLIS and Information Science and Technology Masters Programs in the School of Information Sciences (iSchool) at the University of Pittsburgh. From this mapping exercise, model ‘course pathways’ and module ‘stepping stones’ have been identified, as well as course topic gaps and opportunities for collaboration with other Schools. Competency in four specific tools or technologies was required by all three roles (Microsoft Excel, R, Python and SQL), as well as collaborative skills (with both teams of colleagues and with clients). The ability to connect the educational curriculum with real-world positions is viewed as further validation of the translational approach being developed as a foundational principle of the current MLIS curriculum review process
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| first_indexed | 2024-03-08T22:59:24Z |
| format | Article |
| id | doaj.art-44b5a02f462f4a3a940419ec93e52a46 |
| institution | Directory Open Access Journal |
| issn | 1746-8256 |
| language | English |
| last_indexed | 2024-03-08T22:59:24Z |
| publishDate | 2017-07-01 |
| publisher | University of Edinburgh |
| record_format | Article |
| series | International Journal of Digital Curation |
| spelling | doaj.art-44b5a02f462f4a3a940419ec93e52a462023-12-15T23:52:52ZengUniversity of EdinburghInternational Journal of Digital Curation1746-82562017-07-0111210.2218/ijdc.v11i2.417360Education for Real-World Data Science Roles (Part 2): A Translational Approach to Curriculum DevelopmentLiz Lyon0Eleanor Mattern1University of PittsburghUniversity of PittsburghThis study reports on the findings from Part 2 of a small-scale analysis of requirements for real-world data science positions and examines three further data science roles: data analyst, data engineer and data journalist. The study examines recent job descriptions and maps their requirements to the current curriculum within the graduate MLIS and Information Science and Technology Masters Programs in the School of Information Sciences (iSchool) at the University of Pittsburgh. From this mapping exercise, model ‘course pathways’ and module ‘stepping stones’ have been identified, as well as course topic gaps and opportunities for collaboration with other Schools. Competency in four specific tools or technologies was required by all three roles (Microsoft Excel, R, Python and SQL), as well as collaborative skills (with both teams of colleagues and with clients). The ability to connect the educational curriculum with real-world positions is viewed as further validation of the translational approach being developed as a foundational principle of the current MLIS curriculum review process  https://ijdc.net/index.php/ijdc/article/view/417 |
| spellingShingle | Liz Lyon Eleanor Mattern Education for Real-World Data Science Roles (Part 2): A Translational Approach to Curriculum Development International Journal of Digital Curation |
| title | Education for Real-World Data Science Roles (Part 2): A Translational Approach to Curriculum Development |
| title_full | Education for Real-World Data Science Roles (Part 2): A Translational Approach to Curriculum Development |
| title_fullStr | Education for Real-World Data Science Roles (Part 2): A Translational Approach to Curriculum Development |
| title_full_unstemmed | Education for Real-World Data Science Roles (Part 2): A Translational Approach to Curriculum Development |
| title_short | Education for Real-World Data Science Roles (Part 2): A Translational Approach to Curriculum Development |
| title_sort | education for real world data science roles part 2 a translational approach to curriculum development |
| url | https://ijdc.net/index.php/ijdc/article/view/417 |
| work_keys_str_mv | AT lizlyon educationforrealworlddatasciencerolespart2atranslationalapproachtocurriculumdevelopment AT eleanormattern educationforrealworlddatasciencerolespart2atranslationalapproachtocurriculumdevelopment |