Building Data Science Skills : Enhancing Core Capabilities and Understanding Unique Value

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Titel
Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
verantwortlich
Courtney R. Butler
Erscheinungsjahr
2020
Medientyp
Preprint
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LISSA
sid-179-col-lissa
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author_facet Courtney R. Butler
Courtney R. Butler
author Courtney R. Butler
spellingShingle Courtney R. Butler
Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
Social and Behavioral Sciences
data science
bepress
LIS Scholarship Archive
data librarian
Library and Information Science
author_sort courtney r. butler
spelling Courtney R. Butler Social and Behavioral Sciences data science bepress LIS Scholarship Archive data librarian Library and Information Science http://osf.io/quw26/ http://dx.doi.org/10.31229/OSF.IO/QUW26 Originally presented to the National Information Standards Organization (NISO) webinar “Building Data Science Skills: Strategic Support for the Work” Recommended Citation: Butler, C. R. (2020). Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value. Presentation to the National Information Standards Organization (NISO) webinar “Building Data Science Skills: Strategic Support for the Work”. Accessed through LIS Scholarship Archive. Available at https://doi.org/10.31229/osf.io/quw26 This presentation will focus on ways to develop data science skills by building upon core capabilities such as reference and data management and by understanding the unique value that librarians bring to these types of partnerships. The emphasis will be less on technical skills and more on how to attain the conceptual knowledge necessary to support the data-driven work of our patrons. It will include several illustrative examples within topics such as data licensing and reproducibility and will discuss various resources and strategies for strengthening services. Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
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title Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_unstemmed Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_full Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_fullStr Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_full_unstemmed Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_short Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_sort building data science skills: enhancing core capabilities and understanding unique value
topic Social and Behavioral Sciences
data science
bepress
LIS Scholarship Archive
data librarian
Library and Information Science
url http://osf.io/quw26/
http://dx.doi.org/10.31229/OSF.IO/QUW26
publishDate 2020
physical
description Originally presented to the National Information Standards Organization (NISO) webinar “Building Data Science Skills: Strategic Support for the Work” Recommended Citation: Butler, C. R. (2020). Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value. Presentation to the National Information Standards Organization (NISO) webinar “Building Data Science Skills: Strategic Support for the Work”. Accessed through LIS Scholarship Archive. Available at https://doi.org/10.31229/osf.io/quw26 This presentation will focus on ways to develop data science skills by building upon core capabilities such as reference and data management and by understanding the unique value that librarians bring to these types of partnerships. The emphasis will be less on technical skills and more on how to attain the conceptual knowledge necessary to support the data-driven work of our patrons. It will include several illustrative examples within topics such as data licensing and reproducibility and will discuss various resources and strategies for strengthening services.
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description Originally presented to the National Information Standards Organization (NISO) webinar “Building Data Science Skills: Strategic Support for the Work” Recommended Citation: Butler, C. R. (2020). Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value. Presentation to the National Information Standards Organization (NISO) webinar “Building Data Science Skills: Strategic Support for the Work”. Accessed through LIS Scholarship Archive. Available at https://doi.org/10.31229/osf.io/quw26 This presentation will focus on ways to develop data science skills by building upon core capabilities such as reference and data management and by understanding the unique value that librarians bring to these types of partnerships. The emphasis will be less on technical skills and more on how to attain the conceptual knowledge necessary to support the data-driven work of our patrons. It will include several illustrative examples within topics such as data licensing and reproducibility and will discuss various resources and strategies for strengthening services.
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spelling Courtney R. Butler Social and Behavioral Sciences data science bepress LIS Scholarship Archive data librarian Library and Information Science http://osf.io/quw26/ http://dx.doi.org/10.31229/OSF.IO/QUW26 Originally presented to the National Information Standards Organization (NISO) webinar “Building Data Science Skills: Strategic Support for the Work” Recommended Citation: Butler, C. R. (2020). Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value. Presentation to the National Information Standards Organization (NISO) webinar “Building Data Science Skills: Strategic Support for the Work”. Accessed through LIS Scholarship Archive. Available at https://doi.org/10.31229/osf.io/quw26 This presentation will focus on ways to develop data science skills by building upon core capabilities such as reference and data management and by understanding the unique value that librarians bring to these types of partnerships. The emphasis will be less on technical skills and more on how to attain the conceptual knowledge necessary to support the data-driven work of our patrons. It will include several illustrative examples within topics such as data licensing and reproducibility and will discuss various resources and strategies for strengthening services. Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
spellingShingle Courtney R. Butler, Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value, Social and Behavioral Sciences, data science, bepress, LIS Scholarship Archive, data librarian, Library and Information Science
title Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_full Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_fullStr Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_full_unstemmed Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_short Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
title_sort building data science skills: enhancing core capabilities and understanding unique value
title_unstemmed Building Data Science Skills: Enhancing Core Capabilities and Understanding Unique Value
topic Social and Behavioral Sciences, data science, bepress, LIS Scholarship Archive, data librarian, Library and Information Science
url http://osf.io/quw26/, http://dx.doi.org/10.31229/OSF.IO/QUW26