scholarly journals “How Do I Do That?” A Literature Review of Research Data Management Skill Gaps of Canadian Health Sciences Information Professionals

2019 ◽  
Vol 40 (2) ◽  
pp. 51-60
Author(s):  
Justin Fuhr
Keyword(s):  
Literature Review ◽  
Data Management ◽  
Health Sciences ◽  
Research Data ◽  
Research Data Management ◽  
Skill Gaps ◽  
Library And Information Studies ◽  
Information Studies ◽  
Canadian Health ◽  
Information Professionals

Abstract: There is a recognized need to provide research data management (RDM) services in health sciences libraries. A review of the literature reveals numerous strategies to provide training for health sciences librarians as they provide RDM services to health sciences researchers, faculty, and students. However, no consensus emerges through this literature review with respect to RDM training initiatives. With training initiatives being developed and documented, more in-depth research will emerge that verifies which initiatives have the greatest success for upskilling information professionals in managing research data. This is an area where future library and information studies research can be conducted. It is the hope that with this literature review, I can conduct my own survey to gain more perspective on RDM in a Canadian health sciences library context.

Data librarianship in South African academic and research libraries: a survey

2020 ◽  
Vol 41 (6/7) ◽  
pp. 401-416
Author(s):  
Elisha R.T. Chiware
Keyword(s):  
Data Management ◽  
Online Survey ◽  
Full Range ◽  
Research Data ◽  
Content Type ◽  
Research Libraries ◽  
Research Data Management ◽  
Library And Information Studies ◽  
Information Studies ◽  
Management Services

PurposeThe purpose of this study was to establish the current skills base of librarians working in research data management services in academic and research libraries in South Africa. The purpose was also to determine the relevance of courses and programmes that are currently being offered by library and information studies programmes in response to the needs of research data management services and make recommendations on curriculum improvement.Design/methodology/approachAbout 13 institutions which were considered early adopters of research data management services were identified as participants in an online survey. In addition, a review of Web pages of existing library and information studies schools was carried to establish courses that would support research data management services. Data collected through the two approaches were analysed and presented quantitatively and qualitatively.FindingsThe findings reveal an environment in a developmental stage, with limited skilled personnel to run research data management services. The findings also show an absence of specific data librarianship courses within existing library and information studies programmes and a very limited scope for the full range of data management courses within professional development programmes.Originality/valueThe paper provides information on approaches to further develop existing curriculum and contribute to the data management needs and support governments, funders and publishers' requirements for the discoverability and re-use of research data across research domains.

scholarly journals Research data management: a bibliometric and altmetric study based on Dimensions

2021 ◽  
Vol 1 (3) ◽  
pp. 1-19
Author(s):  
Marília Catarina Andrade Gontijo ◽  
Raíssa Yuri Hamanaka ◽  
Ronaldo Ferreira De Araujo
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Data Science ◽  
Research Data ◽  
Scientific Production ◽  
Research Data Management ◽  
Research Areas ◽  
Library And Information Studies ◽  
Information Studies ◽  
Online Attention

Objective. This study aims to analyze the scientific production on research data management indexed in the Dimensions database. Design/Methodology/Approach. Using the term “research data management” in the Dimensions database, 677 articles were retrieved and analyzed employing bibliometric and altmetric indicators. The Altmetrics.com system was used to collect data from alternative virtual sources to measure the online attention received by the retrieved articles. Bibliometric networks from journals bibliographic coupling and keywords co-occurrence were generated using the VOSviewer software. Results/Discussion. Growth in scientific production over the period 1970-2021 was observed. The countries/regions with the highest rates of publications were the USA, Germany, and the United Kingdom. Among the most productive authors were Andrew Martin Cox, Stephen Pinfield, Marta Teperek, Mary Anne Kennan, and Amanda L. Whitmire. The most productive journals were the International Journal of Digital Curation, Journal of eScience Librarianship, and Data Science Journal, while the most representative research areas were Information and Computing Sciences, Information Systems, and Library and Information Studies. Conclusions. The multidisciplinarity in research data management was demonstrated by publications occurring in different fields of research, such as Information and Computing Sciences, Information Systems, Library and Information Studies, Medical and Health Sciences, and History and Archeology. About 60% of the publications had at least one citation, with a total of 3,598 citations found, featuring a growing academic impact. Originality/Value. This bibliometric and altmetric study allowed the analysis of the literature on research data management. The theme was investigated in the Dimensions database and analyzed using productivity, impact, and online attention indicators.

scholarly journals A critical analysis of lifecycle models of the research process and research data management

2018 ◽  
Vol 70 (2) ◽  
pp. 142-157 ◽  
Author(s):  
Andrew Martin Cox ◽  
Winnie Wan Ting Tam
Keyword(s):  
Data Management ◽  
Design Methodology ◽  
Research Process ◽  
Research Data ◽  
Systematic Analysis ◽  
Content Type ◽  
Research Data Management ◽  
Library And Information Studies ◽  
Information Studies ◽  
Practical Implications

Purpose Visualisations of research and research-related activities including research data management (RDM) as a lifecycle have proliferated in the last decade. The purpose of this paper is to offer a systematic analysis and critique of such models. Design/methodology/approach A framework for analysis synthesised from the literature presented and applied to nine examples. Findings The strengths of the lifecycle representation are to clarify stages in research and to capture key features of project-based research. Nevertheless, their weakness is that they typically mask various aspects of the complexity of research, constructing it as highly purposive, serial, uni-directional and occurring in a somewhat closed system. Other types of models such as spiral of knowledge creation or the data journey reveal other stories about research. It is suggested that we need to develop other metaphors and visualisations around research. Research limitations/implications The paper explores the strengths and weaknesses of the popular lifecycle model for research and RDM, and also considers alternative ways of representing them. Practical implications Librarians use lifecycle models to explain service offerings to users so the analysis will help them identify clearly the best type of representation for particular cases. The critique offered by the paper also reveals that because researchers do not necessarily identify with a lifecycle representation, alternative ways of representing research need to be developed. Originality/value The paper offers a systematic analysis of visualisations of research and RDM current in the Library and Information Studies literature revealing the strengths and weaknesses of the lifecycle metaphor.

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

2021 ◽  
Vol 16 (1) ◽  
pp. 78-90
Author(s):  
Felicity Tayler ◽  
Maziar Jafary
Keyword(s):  
Literature Review ◽  
Data Management ◽  
Case Studies ◽  
Research Data ◽  
Support Staff ◽  
Local Context ◽  
Research Support ◽  
Train The Trainer ◽  
Research Data Management ◽  
Training Opportunities

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.

scholarly journals Research Data Management: A proposed framework to boost research in Higher Educational Institutes.

10.29173/iq12 ◽  
2017 ◽  
Vol 41 (1-4) ◽  
pp. 12
Author(s):  
Bhojaraju Gunjal ◽  
Panorea Gaitanou
Keyword(s):  
Literature Review ◽  
Best Practices ◽  
Data Management ◽  
Skill Development ◽  
Research Process ◽  
Research Data ◽  
Research Data Management ◽  
Research Activities ◽  
Educational Institute ◽  
Higher Educational

This paper attempts to present a brief overview of several Research Data Management (RDM) issues and a detailed literature review regarding the RDM aspects adopted in libraries globally. Furthermore, it will describe several tendencies concerning the management of repository tools for research data, as well as the challenges in implementing the RDM. The proper planned training and skill development for all stakeholders by mentors to train both staff and users are some of the issues that need to be considered to enhance the RDM process. An effort will be also made to present the suitable policies and workflows along with the adoption of best practices in RDM, so as to boost the research process in an organisation. This study will showcase the implementation of RDM processes in the Higher Educational Institute of India, referring particularly to the Central Library @ NIT Rourkela in Odisha, India with a proposed framework. Finally, this study will also propose an area of opportunities that can boost research activities in the Institute.

A systematic literature review on research data management practices and services

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Murtaza Ashiq ◽  
Muhammad Haroon Usmani ◽  
Muhammad Naeem
Keyword(s):  
Literature Review ◽  
Data Management ◽  
Systematic Literature Review ◽  
Academic Libraries ◽  
Management Practices ◽  
Developed Countries ◽  
Research Data ◽  
Open Access Publishing ◽  
Content Type ◽  
Research Data Management

Purpose Research data management (RDM) has been called a “ground-breaking” area for research libraries and it is among the top future trends for academic libraries. Hence, this study aims to systematically review RDM practices and services primarily focusing on the challenges, services and skills along with motivational factors associated with it. Design/methodology/approach A systematic literature review method was used focusing on literature produced between 2016–2020 to understand the latest trends. An extensive research strategy was framed and 15,206 results appeared. Finally, 19 studies have fulfilled the criteria to be included in the study following preferred reporting items for systematic reviews and meta-analysis. Findings RDM is gradually gaining importance among researchers and academic libraries; however, it is still poorly practiced by researchers and academic libraries. Albeit, it is better observed in developed countries over developing countries, however, there are lots of challenges associated with RDM practices by researchers and services by libraries. These challenges demand certain sets of skills to be developed for better practices and services. An active collaboration is required among stakeholders and university services departments to figure out the challenges and issues. Research limitations/implications The implications of policy and practical point-of-view present how research data can be better managed in the future by researchers and library professionals. The expected/desired role of key stockholders in this regard is also highlighted. Originality/value RDM is an important and emerging area. Researchers and Library and Information Science professionals are not comprehensively managing research data as it involves complex cooperation among various stakeholders. A combination of measures is required to better manage research data that would ultimately move forward for open access publishing.

scholarly journals How do early career health sciences information professionals gain competencies?

2016 ◽  
Vol 104 (3) ◽  
Author(s):  
Bethany A. Myers, MSLIS, AHIP ◽  
Bredny Rodriguez, MLS, AHIP
Keyword(s):  
Health Information ◽  
Health Sciences ◽  
Early Career ◽  
Free Text ◽  
Discussion List ◽  
Level Of Confidence ◽  
Medical Library ◽  
Library And Information Studies ◽  
Information Studies ◽  
Information Professionals

Objective: The purpose of this study was to describe early career health sciences information professionals’ self-reported attainment of the Medical Library Association (MLA) Competencies for Lifelong Learning and Professional Success and to investigate the various methods by which participants developed these competencies.Methods: A SurveyMonkey survey was designed to ascertain participants’demographic information and their competency attainment. ‘‘Early career’’ health information professionals were defined as those with less than five years of professional experience. Participants were asked to rate each of the seven competencies on a five-point Likert scale regarding their level of agreement with the statement, ‘‘I have demonstrated this competency.’’ Participants who responded positively were then asked to indicate how they acquired the competency on a multiple-choice, multiple-answer list. Free-text fields were provided for general comments and for participants to elaborate on their answers. The survey was distributed through the MLA email discussion list and other related email discussion lists. Participation was anonymous.Results: One hundred eighty-seven responses were received. Out of those 187 respondents, 95 completed the entire survey. The majority of early career health sciences information professionals agreed that they had attained all 7 competencies. Of the various methods used to develop competencies, the most selected method was formal library and information studies education. Participants were least likely to report attaining competencies via mentoring, volunteering, or internships. Participants reported the highest level of confidence in having attained the ‘‘Health Sciences Information Services’’ competency, and the lowest level of confidence in having attained the ‘‘Research, Analysis, and Interpretation’’ competency.Conclusions: These results contribute to the ongoing discussions regarding proposed changes to the MLA competencies. The results may also inform the development of educational and professional development opportunities for prospective or early career health information professionals.

scholarly journals Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities

2018 ◽  
Vol 7 (2) ◽  
pp. e1130
Author(s):  
Tania Bardyn ◽  
◽  
Emily Patridge ◽  
Michael Moore ◽  
Jane Koh ◽  
...  
Keyword(s):  
Clinical Research ◽  
Data Management ◽  
Health Sciences ◽  
Research Data ◽  
Research Data Management ◽  
Clinical Research Data
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