Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents

Prado, Javier Calzada; García-Quismondo, Miguel Ángel Marzal

doi:10.1515/libri-2013-0010

Cited by 187 publications

(132 citation statements)

References 2 publications

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“…The authors of this study also determined that most researchers in this study thought that offering some type of data literacy was required for their students (Carlson et al, 2013). Other studies have also concluded that academic librarians are well positioned to support data literacy and data competencies (Calzada Prado & Marzal, 2013;Gray, 2004;Schield, 2004;Stephenson & Schifter Caravello, 2007).…”

Section: Literature Reviewmentioning

confidence: 76%

Developing data literacy competencies to enhance faculty collaborations

MacMillan

2015

LIBER

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In order to align information literacy (IL) instruction with changing faculty and student needs, librarians must expand their skills and competencies beyond traditional information sources. In the sciences, this increasingly means integrating the data resources used by researchers into instruction for undergraduate students. Open access data repositories allow students to work with more primary data than ever before, but only if they know how and where to look. This paper will describe the development of two IL workshops designed to scaffold student learning in the biological sciences across two second-year courses, detailing the long-term collaboration between a librarian and an instructor that now serves over 500 students per semester. In each workshop, students are guided through the discovery and analysis of life sciences data from multiple sites, encouraged to integrate text and data sources, and supported in completing research assignments.

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Section: Literature Reviewmentioning

confidence: 76%

Developing data literacy competencies to enhance faculty collaborations

MacMillan

2015

LIBER

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“…Five sets of competencies have been proposed in the literature that generally describe skills needed to manage and organize data; apply metadata; and curate data for long-term preservation and re-use (Calzada Prado and Marzal 2013;Carlson et al 2011;Qin and D'ignazio 2010;Schneider 2013;Piorun et al 2012). The competencies developed have been platforms for a variety of learning objectives and educational curricula targeted to a number of educational disciplines (Shorish 2015;Frank and Pharo 2016;Whitmire 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

The Data Engagement Opportunities Scaffold: Development and Implementation

Goben

Nelson

2018

JeSLIB

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While interest in research data management (RDM) services have grown, clarifying the path between traditional library responsibilities and RDM remains a challenge. While the literature has provided ideas about services and student-/researcher-focused data information literacy (DIL) competencies, nothing has yet brought these skill sets together to provide a pathway for librarians engaging in RDM. The Data Engagement Opportunities scaffold was developed to provide a strategic trajectory relating information science skills, the DIL competencies, the stages of the data life cycle, three levels of RDM engagement activities, and potential measurable outcomes. This scaffold provides direction for librarians looking to identify their current abilities and explore new opportunities.

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“…Data literacy focuses on the following competencies, as outlined by Prado and Marzal (2013): 1. Understanding what data is, and how it affects society 2.…”

Section: Background Research: Determining Data Literacy Needsmentioning

confidence: 99%

Understanding Data Literacy Requirements for Assignments: A Business School Syllabus Study

Brodsky

2017

IJoL

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Abstract:Syllabus studies have been used to inform librarians' work in collection development, instruction and information literacy. Syllabi also provide an opportunity to understand course requirements for data literacy. In this study, syllabi from Eastern Michigan University's College of Business were analyzed to determine which courses require data literacy for the completion of assignments or projects. The author tested several hypotheses to identify where data literacy instruction would be most needed:1. Data use in online and hybrid class assignments is greater than for in-person class assignments 2. Graduate students have greater data requirements than undergraduate students 3. Different business school disciplines have different data needs (i.e., marketing has more, accounting has less)Though this was not a scientific study, analyzing syllabi and assignments can reveal both stated and implied data literacy competencies. Surfacing these competencies and making them explicit gives the librarian and the teaching faculty the opportunity to co-design relevant teaching and learning activities. Since data literacy instruction is a new initiative at the Eastern Michigan University Library, the author also used this study to bring attention to this capacity. ABSTRACTSyllabus studies have been used to inform librarians' work in collection development, instruction and information literacy. Syllabi also provide an opportunity to understand course requirements for data literacy. In this study, syllabi from Eastern Michigan University's College of Business were analyzed to determine which courses require data literacy for the completion of assignments or projects. The author tested several hypotheses to identify where data literacy instruction would be most needed:1. Data use in online and hybrid class assignments is greater than for in-person class assignments 2. Graduate students have greater data requirements than undergraduate students 3. Different business school disciplines have different data needs (i.e., marketing has more, accounting has less) Though this was not a scientific study, analyzing syllabi and assignments can reveal both stated and implied data literacy competencies. Surfacing these competencies and making them explicit gives the librarian and the teaching faculty the opportunity to co-design relevant teaching and learning activities. Since data literacy instruction is a new initiative at the Eastern Michigan University Library, the author also used this study to bring attention to this capacity.

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Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents

Cited by 187 publications

References 2 publications

Developing data literacy competencies to enhance faculty collaborations

Developing data literacy competencies to enhance faculty collaborations

The Data Engagement Opportunities Scaffold: Development and Implementation

Understanding Data Literacy Requirements for Assignments: A Business School Syllabus Study

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