Library Carpentry: Software Skills Training for Library Professionals

Baker, James; Moore, Caitlin; Priego, Ernesto; Alegre, Rolando Tito; Cope, Jez; Price, Ludi; Stephens, Otis H.; Strien, Daniel van; Wilson, Greg

doi:10.18352/lq.10176

Cited by 13 publications

(10 citation statements)

References 3 publications

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“…In the 13 sources selected for synthesis, we found 14 key cases for analysis. Out of the 13 sources selected for synthesis, as outlined above, 9 of the selected sources had a single case study focus (Baker et al, 2016;Grootveld & Verbakel, 2015;Haddow, 2014;Helbig, 2016;Papadopoulou & Miller in Clare et al, 2019;Papadopoulou & Grabauskiene in Clare et al, 2019;Wittenberg et al, 2018;Southall & Scutt, 2017;Read et al, 2019). Out of the original 13, 2 of the selected sources covered multiple case studies (Bryant et al, 2018;Surkis & Read, 2015), while 2 of the sources dealt with the same case study (Tang & Hu, 2019;Shipman & Tang, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…Session one began with an introduction to basic programming concepts and attendees were asked to reflect on words and phrases associated with programming, code, and software from which they could benefit. Baker et al (2016) note that many universities around the world use "Data Carpentry Workshops" formats and materials adapted to their local needs, which demonstrates the success of the project. However, they still recognize the need to develop a set of resources to enable workshop attendees to share software skills in their home libraries.…”

Section: Approaches To Research Data Management Trainingmentioning

confidence: 97%

“…The Library Carpentry workshops with RDMfocused content, as discussed by Baker et al (2016), are a worthwhile comparison to the online or hybrid teaching models available to librarians, due to the strong emphasis placed on in-person skill sharing and long-term community building. The multi-session workshop took place in the fall of 2015 over four, three-hour weekly evening sessions at the City University London Centre for Information Science.…”

Section: Approaches To Research Data Management Trainingmentioning

confidence: 99%

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Shifting Horizons: A Literature Review of Research Data Management Train-the-Trainer Models for Library and Campus-Wide Research Support Staff in Canadian Institutions

Tayler¹,

Jafary²

2021

EBLIP

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Objective – In consideration of emerging national Research Data Management (RDM) policy and infrastructure, this literature review seeks answers to the following questions: 1) What is the most effective way for a Canadian research university to build capacity among library and campus-wide research support staff, with a view towards providing coordinated RDM support services for our researcher community?2) What international training models and course offerings are available and appropriate for a local context?3) What national guidelines and best practices for pedagogical design and delivery can be adapted for a local context? Methods – This literature review synthesizes a total of 13 sources: 9 articles, 2 book chapters, and 2 whitepapers. The whitepapers were selected for a narrative literature review because of their focus on case studies detailing train-the-trainer models. Within the 13 sources we found 14 key case studies. This review serves as a supplement to the 2017 CARL Portage Training Expert Group white paper, “Research Data Management Training Landscape in Canada,” the focus of which was to identify RDM training gaps in order to recommend a coordinated approach to RDM training in a national environment. Results – The narrative review of case studies revealed three thematic areas. Firstly, pedagogical challenges were identified, including the need to target training to RDM support staff such as librarians and researchers, as they comprise distinct groups of trainees with divergent disciplinary vocabularies and incentives for training. Secondly, the case studies cover a broad range of pedagogical models including single or multiple sessions, self-directed or instructor-led, in-person or online instruction, and a hybrid of the two. Finally, RDM training also emerged as a key factor in community building within library staff units, among service units on campus, and with campus research communities. Conclusion – RDM training programs at local institutions should be guided by a set of principles aligned with the training methods, modes of assessment, and infrastructure development timeline outlined in a national training strategy. When adapting principles and training strategies to a local context, the following trends in the literature should be considered: librarians and researchers must have meaningful incentives to undertake training in RDM or to join a community of practice; disciplinary-specific instruction is preferable to general instruction; a librarian’s own training opportunities will influence their ability to provide discipline-specific RDM instruction to researchers; in-person training opportunities improve learning retention and produce beneficial secondary effects, whereas online instruction is most effective when paired with an in-person component; generalized third-party RDM training should be adapted to local context to be meaningful. Future directions for RDM training will integrate into open access and digital scholarship training, and into cross-disciplinary, open science communities of practice.

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Section: Methodsmentioning

confidence: 99%

Section: Approaches To Research Data Management Trainingmentioning

confidence: 97%

Section: Approaches To Research Data Management Trainingmentioning

confidence: 99%

See 1 more Smart Citation

Shifting Horizons: A Literature Review of Research Data Management Train-the-Trainer Models for Library and Campus-Wide Research Support Staff in Canadian Institutions

Tayler¹,

Jafary²

2021

EBLIP

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“…This is being made increasingly easier through the growing number of opportunities for librarians to develop data science skills. For novice audiences, the Library Carpentry workshops (http://librarycarpentry.org/, Baker et al, 2016) provide an introduction to data and analytical skills. These face-to-face workshops are generally two-day events that include hands-on lessons on topics such as the Unix shell, version control with Git, or the Python programming language.…”

Section: Personnel Needsmentioning

confidence: 99%

Data Science Support at the Academic Library

Oliver

Kollen

Hickson

et al. 2019

Journal of Library Administration

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Data science is a rapidly growing field with applications across all scientific domains. The demand for support in data science literacy is outpacing available resources at college campuses. The academic library is uniquely positioned to provide training and guidance in a number of areas relevant to data science. The University of Arizona Libraries has built a successful data science support program, focusing on computational literacy, geographic information systems, and reproducible science. Success of the program has largely been due to the strength of library personnel and strategic partnerships with units outside of the library. Academic libraries can support campus data science needs through professional development of current staff and recruitment of new personnel with expertise in data-intensive domains.

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“…L ibrary employees who try developing their skills with computing tools need to practice in order to use their learning in their work. 1 However, time and space for practice may be elusive. Employees will meet frustration when applying emerging knowledge to problems on the fringes of their learning.…”

mentioning

confidence: 99%

Time to play, access to attention: Addressing one academic library’s internal culture around computing tools and skills

Brooks-Kieffer

2021

C&RL News

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Library employees who try developing their skills with computing tools need to practice in order to use their learning in their work. However, time and space for practice may be elusive. Employees will meet frustration when applying emerging knowledge to problems on the fringes of their learning. Libraries can cultivate employees’ budding computing and data skills by sponsoring time to practice, holding space for peers to support each other, and normalizing the struggle inherent in learning and applying digital tools and methods.

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Library Carpentry: Software Skills Training for Library Professionals

Cited by 13 publications

References 3 publications

Shifting Horizons: A Literature Review of Research Data Management Train-the-Trainer Models for Library and Campus-Wide Research Support Staff in Canadian Institutions

Shifting Horizons: A Literature Review of Research Data Management Train-the-Trainer Models for Library and Campus-Wide Research Support Staff in Canadian Institutions

Data Science Support at the Academic Library

Time to play, access to attention: Addressing one academic library’s internal culture around computing tools and skills

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