Making Data Management Accessible in the Undergraduate Chemistry Curriculum

Reisner, Barbara A.; Vaughan, K.T. L.; Shorish, Yasmeen

doi:10.1021/ed500099h

Cited by 16 publications

(15 citation statements)

References 4 publications

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“…In the interviews, multiple students identified "Excel skills" or "increased stats skills" as being among the most important skills they had gained. Incorporating data management training as a critical part of undergraduate curricula is gaining acceptance, but this training remains relatively rare (Reisner et al 2014). Perhaps because training on these skills can be absent from undergraduate science education, some of the LUGNuts students indicated that they applied their emerging information management skills almost immediately in other classes.…”

Section: Student Perspectivesmentioning

confidence: 99%

A model for training undergraduate students in collaborative science

Casson

Whitfield

Baulch

et al. 2018

FACETS

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Engagement of undergraduate students in research has been demonstrated to correlate with improved academic performance and retention. Research experience confers many benefits on participants, particularly foundational skills necessary for graduate school and careers in scientific disciplines. Undergraduate curricula often do not adequately develop collaborative skills that are becoming increasingly useful in many workplaces and research settings. Here, we describe a pilot program that engages undergraduates in research and incorporates learning objectives designed to develop and enhance collaborative techniques and skills in team science that are not typical outcomes of the undergraduate research experience. We conducted a collaborative science project that engaged faculty advisors and upper year undergraduates at four institutions and conducted a review to assess the program’s efficacy. Students developed a broad suite of competencies related to collaborative science, above and beyond the experience of completing individual projects. This model also affords distinct advantages to faculty advisors, including the capacity of the network to collect and synthesize data from different regions. The model for training students to conduct collaborative science at an early stage of their career is scalable and adaptable to a wide range of fields. We provide recommendations for refining and implementing this model in other contexts.

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Section: Student Perspectivesmentioning

confidence: 99%

A model for training undergraduate students in collaborative science

Casson

Whitfield

Baulch

et al. 2018

FACETS

View full text Add to dashboard Cite

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“…While most of the initiators of library data services have been large research universities (Antell et al, 2014; Cox and Pinfield, 2014; Heidorn, 2011; Soehner et al, 2010; Tenopir et al, 2012, 2013, 2014), there is a growing body of literature about data services at Master’s universities and PUIs (Goldstein and Oelker, 2011; Scaramozzino et al, 2012; Shorish, 2012; Stamatoplos et al, 2016; Toups and Hughes, 2013), and about how outreach efforts related to data literacy and data management may be implemented with undergraduate students at a range of institution types (Ball and Medeiros, 2012; MacMillan, 2010; Mooney et al, 2014; Piorun et al, 2012; Qin and D’Ignazio, 2010; Reisner et al, 2014; Shorish, 2015; Stephenson and Caravello, 2007; Strasser and Hampton, 2012; Zilinski et al, 2014). Librarians at PUIs have argued that while resources may be limited at smaller institutions, the same imperatives to act as data stewards and to transmit best practices apply (Shorish, 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

Team-based data management instruction at small liberal arts colleges

et al. 2017

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This paper describes a collaborative approach taken by librarians at five small, regional liberal arts colleges to developing/enhancing research data management services on their campuses. The five colleges collectively belong to a consortium known as the Northwest Five Consortium. Over 10 months, librarians from the five schools collaborated to plan a data management and curation workshop with the goals of developing relationships with researchers working with data, developing their own research data management skills and services, and building a model for future training and outreach around institutional research data management services. This workshop brought together research teams including faculty, students, and librarians, and incorporated active learning modules as well as in-depth pre-workshop discussion. This article will discuss the context and background for this workshop, the model itself, and the outcomes and possibilities for future developments.

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“…Additionally, there have been several efforts to develop LIS curriculum and eScience and/or scientific data management; however while this curriculum is in place to educate students and there is demand for experts, there is still yet to be a unified title for the scientific data specialization [13]. Domain science educators have indicated that the majority of the work in data literacy has focused on graduate students, while there is a real need for similar data literacy instruction to include undergraduate students [14].…”

Section: The Emergence Of Library and Information Science Data Curriculamentioning

confidence: 99%

The Development of an Undergraduate Data Curriculum: A Model for Maximizing Curricular Partnerships and Opportunities

Murillo

Jones

2018

Transforming Digital Worlds

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The article provides the motivations and foundations for creating an interdisciplinary program between a Library and Information Science department and a Human-Centered Computing department. The program focuses on data studies and data science concepts, issues, and skill sets. In the paper, we analyze trends in Library and Information Science curricula, the emergence of data-related Library and Information Science curricula, and interdisciplinary data-related curricula. Then, we describe the development of the undergraduate data curriculum and provide the institutional context; discuss collaboration and resource optimization; provide justifications and workforce alignment; and detail the minor, major, and graduate opportunities. Finally, we argue that the proposed program holds the potential to model interdisciplinary, holistic datacentered curriculum development by complimenting Library and Information Science traditions (e.g., information organization, access, and ethics) with scholarly work in data science, specifically data visualization and analytics. There is a significant opportunity for Library and Information Science to add value to data science and analytics curricula, and vice versa.

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Making Data Management Accessible in the Undergraduate Chemistry Curriculum

Cited by 16 publications

References 4 publications

A model for training undergraduate students in collaborative science

A model for training undergraduate students in collaborative science

Team-based data management instruction at small liberal arts colleges

The Development of an Undergraduate Data Curriculum: A Model for Maximizing Curricular Partnerships and Opportunities

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