Development and Analysis of Online RDM Training Course

Furukawa, Masashi; Ojiro, Koichi; Yamaji, Katsuhiko

doi:10.1109/gcce.2018.8574478

Cited by 3 publications

(8 citation statements)

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“…RDM courses cover a range of topics: definitions of data and RDM; funding agency requirements and mandates; sharing and archiving data; copyright and ownership; metadata; and the reuse of shared data (Clement, Blau, Abbaspour, & Gandour-Rood, 2017;Furukawa, Ojiro, & Yamaji, 2018;Rice, 2014;Southall & Scutt, 2017). Individual courses often only cover a subset of these broad categories.…”

Section: Rdm Teachingmentioning

confidence: 99%

“…Much of the RDM training described in the literature is of the 'train the trainer' variety (Schneider, 2017), it aims to upskill librarians or other research support staff to enable them to support researchers (Furukawa et al, 2018). Library staff do consistently record the need for upskilling in this area when asked about their careers (Goben & Nelson, 2018;Nitecki & Davis, 2017;Peters, 2017).…”

Section: Rdm Teachingmentioning

confidence: 99%

“…RDM courses primarily fall into two types of instruction format: workshops, either as a standalone course or as a series of sessions (Clement et al, 2017;Goben & Nelson, 2018;Helbig, 2016;Peters, 2017;Southall & Scutt, 2017); or online courses, allowing for learning to take place as it is convenient (Furukawa et al, 2018;Rice, 2014;Si, Xing, Zhuang, Hua & Zhou, 2015) and whenever it becomes directly relevant to research practice (Ward & Freiman, 2011, p. 269). Graduate RDM courses delivered as lecture series by librarians are rarer (Corrall, 2012;Whitmire, 2015), and this format is too resource-intensive for implementation in our institutional context.…”

Section: Rdm Teachingmentioning

confidence: 99%

“…Graduate RDM courses delivered as lecture series by librarians are rarer (Corrall, 2012;Whitmire, 2015), and this format is too resource-intensive for implementation in our institutional context. RDM online courses seem to be of great interest, with greater numbers applying than would be expected (Furukawa et al, 2018). A fairly high number of these students take the courses through to completion (Furukawa et al, 2018) although the courses still suffer somewhat from the high dropout rates observed generally in online courses (Kennedy, 2014).…”

Section: Rdm Teachingmentioning

confidence: 99%

“…RDM online courses seem to be of great interest, with greater numbers applying than would be expected (Furukawa et al, 2018). A fairly high number of these students take the courses through to completion (Furukawa et al, 2018) although the courses still suffer somewhat from the high dropout rates observed generally in online courses (Kennedy, 2014). However, a high rate of non-attendance of pre-booked courses is also seen in workshop format RDM courses; it has been suggested that this may be due to attendees being interested in the idea of the content, but not seeing the importance of the course and so not prioritising attendance over other commitments (Southall & Scutt, 2017).…”

Section: Rdm Teachingmentioning

confidence: 99%

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Teaching Practical Research Data Management Skills through Online Training and Data Management Plan Creation

Montague-Hellen,

Ranger

2019

Preprint

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Introduction Research Data Management is growing in importance as a field as the amount of data which researchers must manage increases. It is important to ensure that postgraduate researchers are trained through engaging courses which practically prepare them to fulfil the data management requirements of funders and Universities, and to carry out their research in a transparent and effective manner. Description of program We present a case study of the development and delivery of a new Research Data Management (RDM) online course for postgraduates and early career researchers. The course implements pedagogical theory and a reverse design paradigm in the development of library training provision enabling the creation of a course vastly more relevant to academic research practice than our previous offering. The course uses a simplified Data Management Plan to introduce students toResearch Data Management Concepts, and by asking them to apply this knowledge, lifts the course from one which simply asks students to remember knowledge to one which shows them how to apply this knowledge in a way that is applicable to their own research. The course has been evaluated for effectiveness and student engagement at 3 months. Next steps Although some analysis of the effectiveness of the new course has been undertaken, the course will continue to be evaluated. Although the course was developed for PGRs it has been popular with ECRs and Professional support staff and we will investigate how we can further meet the needs of these groups. The platform used will allow for the topics most often accessed to be identified and the course, and the University's training provision will be adjusted based on this evidence. We hope that other institutions will be able to learn from our experience and implement similar courses.

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Section: Rdm Teachingmentioning

confidence: 99%

Section: Rdm Teachingmentioning

confidence: 99%

Section: Rdm Teachingmentioning

confidence: 99%

Section: Rdm Teachingmentioning

confidence: 99%

Section: Rdm Teachingmentioning

confidence: 99%

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Teaching Practical Research Data Management Skills through Online Training and Data Management Plan Creation

Montague-Hellen,

Ranger

2019

Preprint

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Promoting Common Understanding on Research Data Management using Rubric

Aoki¹,

Kajita²,

Motoki³

et al. 2019

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)

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Research data management (RDM) is the activity to describe and practice what kind of data is to be used/obtained/generated, and how that data is analyzed/saved/shared or published from the plan to completion of the research project. The RDM consists ambiguous concept so that the understanding of RDM is diverse according to each researcher. In order to foster a common recognition of RDM in a Japanese university, a workshop that researchers utilize a rubric to evaluate and review their attitudes to RDM was held. In this paper, we report the process of the development of RDM rubric and the workshop.

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An Organization Model for Support of Research Data Management in Academic Institutions

Furukawa

Ojiro

Tsunekawa

et al. 2019

Journal of Japan Society of Information and Knowledge

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In recent years, research data management supporters in institutions are as important as research data management. However, the definition of the data librarian is not well defined. In this study, we conducted a literature survey and considered the definition and duties of the data librarian, and created the lists of common skills required for data librarians. Finally, we discuss the organizational model of research data management support in Japanese academic institutions.

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Development and Analysis of Online RDM Training Course

Cited by 3 publications

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Teaching Practical Research Data Management Skills through Online Training and Data Management Plan Creation

Teaching Practical Research Data Management Skills through Online Training and Data Management Plan Creation

Promoting Common Understanding on Research Data Management using Rubric

An Organization Model for Support of Research Data Management in Academic Institutions

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