Libraries providing support for data management planning/ RDM tools in place, comparison with previous studies.

Libraries providing support for data management planning/ RDM tools in place, comparison with previous studies.

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This paper reports an international study of research data management (RDM) activities, services and capabilities in higher education libraries. It presents the results of a survey covering higher education libraries in Australia, Canada, Germany, Ireland, the Netherlands, New Zealand and the UK. The results indicate that libraries have provided le...

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... services may be considered as more specialized, requiring greater expertise or knowledge of the field. Table 6 compares current findings with previous survey results for support for data management planning/RDM tools, again showing growth in delivery of services over time. ...

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... Cox, et al. 18 (2017) studied higher education libraries of seven countries around the globe to know about the RDM services, activities and capabilities and then concluded that libraries were constantly focused on RDM policies where all were facing challenges in resourcing, technical assistance, advisory services and skills for data curation were low. Tenopir, et al. 19 (2017) surveyed academic member libraries of LIBER and discovered the type of research data services provided and upcoming services planned: technical research data services, hands-on training skill-related like workshops and consultative services. ...
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... In addition, data sharing in biomedical literature has been studied using random samples of journal articles (Wallach et al., 2018). The related studies also include research on data management planning (Gajbe et al., 2021;Palsdottir, 2021), the role academic libraries in providing data management services (Cox et al., 2017(Cox et al., , 2019Huang et al., 2021), and research data metadata quality (Kim and Burns, 2016;Quarati and Raffaghelli, 2020). Sharing data by request to interested readers Making data openly available in a repository ...
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... The participants ranged with minimum n = 7 to maximum n = 223. Further, there are some studies that recruited participants from multiple countries (Corrall et al., 2013;Cox et al., 2017Cox et al., , 2019McBurney and Kubas, 2021). Overall, the methodological details show a holistic approach of study design, data collection, participants, and across countries. ...
... These practices fall under five basic categories such as planning stage, data literacy instructions, consultation and advisory, technical and technological, and library professionals job description ( Figure 2). Nine studies reported initial planning and developing stage (Cox et al., 2017;Hamad et al., 2021;Knight, 2015;Mohammed and Ibrahim, 2019;Ohaji et al., 2019;Oliver et al., 2019;Tenopir et al., 2017) and preparing institutional repository or data repository (Antell et al., 2014;Brown et al., 2015). It has been observed that the academic and research institutions are involved in data literacy instructions for researchers and library professionals. ...
... These instructions involved in overall research data lifecycle (Cox et al., 2019;Jefferson, 2020), DMPs (Knight, 2015;Si et al., 2015), data sharing and data use or reuse (Chiware, 2020;Yoon and Donaldson, 2019). Similarly, the consultancy and advisory services involved in DMPs (Chiware, 2020;Cox et al., 2019;Faniel and Connaway, 2018;Hamad et al., 2021;Knight, 2015;Si et al., 2015;Tenopir et al., 2017;Yoon and Donaldson, 2019), copy right and licensing (Chiware and Becker, 2018;Cox et al., 2017Cox et al., , 2019), data archives (Cox et al., 2019;Tenopir et al., 2017), research lifecycle consultation (McBurney and Kubas, 2021;Ohaji et al., 2019). The technical services involved organizing data sets (Johnson, 2012), allocating metadata and standards (Chiware, 2020;Johnson, 2012;McBurney and Kubas, 2021), data curation (Cox et al., 2019;Jefferson, 2020;Yoon and Donaldson, 2019), data preservation, storage and repositories (Chiware and Becker, 2018;Cox et al., 2019;Faniel and Connaway, 2018;Knight, 2015;McBurney and Kubas, 2021;Yoon and Donaldson, 2019) and few involved in data quality control (Cox et al., 2019;Yoon and Donaldson, 2019) and data analysis and visualization (Chiware and Becker, 2018;Cox et al., 2019). ...
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... Additional research has explored the RDS that some academic libraries outside the US began offering beyond the US in response to the new paradigm in research sometimes referred to as Science 2.0, or Open Science, among others (European Commission 2015;Lord and Macdonald 2003). One survey of academic libraries in Australia, Canada, Germany, Ireland, Netherlands, New Zealand, United Kingdom, and the United States received 209 valid responses asking about RDS such as RDM instruction, managing a data repository, and carrying out long-term preservation (Cox et al. 2017). The academic libraries' role in offering these data-related services varied, but further analysis confirmed librarians have displayed leadership in planning and coordinating across campuses and that several academic libraries are positioned to lead the continued growth and maturity of these services (Kim 2019). ...
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This study of data services librarians is part of a series of studies examining the current roles and perspectives on Research Data Management (RDM) services in higher education. Reviewing current best practices provides insights into the role-based responsibilities for RDM services that data services librarians perform, as well as ways to improve and create new services to meet the needs of their respective university communities. Objectives: The objectives of this article are to provide the context of research data services through a review of past studies, explain how they informed this qualitative study, and provide the methods and results of the current study. This study provides an in-depth overview of the overall job responsibilities of data services librarians and as well as their perspectives on RDM through job analyses. Methods: Job analysis interviews provide insight and context to the tasks employees do as described in their own words. Interviews with 10 data services librarians recruited from the top 10 public and top 10 private universities according to the 2020 Best National University Rankings in the US News and World Reports were asked 30 questions concerning their overall job tasks and perspectives on RDM. Five public and five private data services librarians were interviewed. The interviews were recorded and transcribed. The transcriptions were analyzed in NVivo using a grounded theory application of open, axial, and selective coding to generate categories and broad themes based on the responses using synonymous meanings. Results: The results presented here provide the typical job tasks of data services librarians that include locating secondary data, reviewing data management plans (DMPs), conducting outreach, collaborating, and offering RDM training. Fewer data services librarians assisted with data curation or manage an institutional repository. Discussion: The results indicate that there may be different types of data services librarians depending on the mix of responsibilities. Academic librarianship will benefit from further delineation of job titles using tasks while planning, advertising, hiring, and evaluating workers in this emerging area. There remain many other explorations needed to understand the challenges and opportunities for data services librarians related to RDM. Conclusions: This article concludes with a proposed matrix of job tasks that indicates different types of data services librarians to inform further study. Future job descriptions, training, and education will all benefit from differentiating between the many associated research data services roles and with increased focus on research data greater specializations will emerge.
... Another relatively recent quantitative survey study among academic librarians at several international sites showed that academic librarians had taken the lead in developing research data management services. The services were advisory rather than technical or data managerial (Cox, Kennan, Lyon, & Pinfield, 2017). The study indicated that academic librarians lacked the skills to curate data, although they were in the process of learning. ...
... In other words, it was challenging to get senior-level management involved in the issue and offer (active) support at the appropriate level. In addition, the university libraries had not come far in developing technical support as only seven percent reported having well-developed services (Cox et al., 2017). The study found that despite many academic librarians having addressed skills development by recruiting or reassigning existing staff, the skills -or lack of skills -were a significant concern. ...
... The academic librarians needed more education and training in research data management. However, whether the university libraries and the academic librarians had a legitimate base for negotiating some control of the task area was not discussed (Cox et al., 2017). ...
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This study aims to better understand the dynamics of negotiating professional jurisdiction within research from the perspective of academic librarians who develop library services for researchers. This qualitative case study consists of 24 semi-structured interviews, 32 recorded non-participant observations, and seven official university library documents collected at one Swedish university library with three division libraries during 2016. The analytical frame is based on Abbott’s (1988) system of professions approach and focuses on changes in professional work. It is assumed that all professions have strong or weak control of jurisdictions, which are described as a profession’s exclusive rights to a task area, including the right to define tasks and relevant professional knowledge. The assumption is that jurisdictions change and are under constant negotiation at the workplace until settled. The settlements range from strong to weak control of jurisdiction. The analytical frame also identifies disturbances in negotiating jurisdiction that can be internal or external to a profession, e.g., new knowledge, organization, and technology. The results show that developing library services for researchers is an ambiguous and complicated task. It is influenced by several constraints and addressed differently by academic librarians. Constraints are related to the task description, organization, management support, communication, academic librarians’ skills and competencies, as well as level of ambition. The results showed that academic librarians can claim jurisdiction within research, although disciplinary differences emerged. Academic librarians at a science and medical library seemed to have more apparent opportunities than academic librarians in humanities and art history or social science libraries to claim jurisdiction within research. The study confirms that access jurisdiction is an acknowledged jurisdiction for academic librarians and is strengthened by new and emerging tasks related to access, e.g., digitization. Access jurisdiction seems to act as a springboard to claim and negotiate jurisdiction within research. The study reveals active push and passive pull dynamics related to negotiating jurisdictions and highlighted communication and information dissemination as an organizational disturbance not previously considered in Abbott's (1988) system of professions approach. In addition, the thesis clarified a need to analyze the work and needs of the profession itself. Persistent link: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-26641
... Based on the survey findings, they proposed a maturity model for research data services development. This model improves Cox's previous RDM maturity model (Cox, Kennan, Lyon, & Pinfield, 2017). Like the previous one, the revised model has four stages of developmental maturity, but their names are different. ...
... This study proposes a readiness model to capture starting point conditions to help research institutions increase their capacity to ensure readiness before implementation. The previous studies, Qin (2011), Qin et al. (2017), Cox et al. (2017), and Cox et al. (2019) built assessment models based on surveys of RDM practices in developed countries rather than developing countries like Indonesia. The model's modifications, particularly the revision of the assessment component elements, continue to evolve. ...
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The research data management (RDM) readiness model assists research institutions in measuring their readiness level and identifying gaps to develop a strategy for implementing RDM. The technology, organization, people, and environment (TOPE) framework was used as a guideline in selecting the appropriate factors and indicators. The fuzzy delphi method was employed to validate the factors and indicators derived from the literature review. Hardware, policy, management support, organizational structure, situation awareness, training, and funder policy are all factors that reached the expert consensus. Strategy is a factor that included two indicators that did not reach expert consensus. The final result of the analysis indicates that the proposed readiness model should include 13 factors with 32 indicators. This study reveals that the environment is a key dimension of RDM readiness, which previous studies have not discussed. Moreover, research institutions can employ the model to assess their readiness and identify areas for improvement, and to potentially reduce failures in RDM implementation.
... expected and mandatory skills and knowledge levels and capacities of the librarians offering those services(Cox et al., 2017).Henderson and Knott (2015) observe that the introduction and success of RDM services in academic libraries calls for the need to hire new staff or re-skilling and up-skilling of librarians to take up new roles and responsibilities. Many academic libraries are hiring data librarians to cater for the emerging role of RDM. ...
... At supra-institutional level, library consortia, such as Research Libraries UK and CARL (Canadian Association of Research Libraries), have played a significant role in influencing national policy developments, including working with funding agencies and designated bodies, such as Jisc (UK), Australian National Data Service (ANDS), and Research Data Canada. The extent of the coordination of RDM activities by such organisations may in turn influence RDM leadership demonstrated in institutions(Cox et al., 2017).Higman and Pinfield (2015) maintain that it is important in policy development process to indicate clearly the roles and responsibilities of the different institutional stakeholders and, more especially, of the library, which is often seen as a mere provider of information resources. It must be clear if the library has the autonomy and power to plan and write policies ahead of introducing RDM services.Cox et al. (2017) have noted that, in the UK's higher education sector, RDM policy formulation and services development have created complex sets of networks within and beyond institutions, involving different role players with varying priorities. ...
... t in policy development process to indicate clearly the roles and responsibilities of the different institutional stakeholders and, more especially, of the library, which is often seen as a mere provider of information resources. It must be clear if the library has the autonomy and power to plan and write policies ahead of introducing RDM services.Cox et al. (2017) have noted that, in the UK's higher education sector, RDM policy formulation and services development have created complex sets of networks within and beyond institutions, involving different role players with varying priorities. Differing interests from different internal and external stakeholders must be addressed in order for the RDM ...
Article
The study applied an adapted Technology, Economic, Legal, Organisational, and Schedule (TELOS) model to explore the feasibility of Research Data Management (RDM) at the Zimbabwe School of Mines (ZSM). The study employed a qualitative approach. Data were collected through interviews that were held with purposively chosen professionals at ZSM in the form of the Information Technology (IT) manager, the Librarian, and three (3) Assistant Librarians. Findings show that ZSM does not currently meet the TELOS model feasibility test. ZSM lacks a robust technological system to support data creation, data collection and description, data storage, archiving and preservation, data access, data discovery and analysis, and data reuse and transformation. ZSM has not yet created a legal environment conducive for the introduction of RDM. It does not have policies and standards in place to handle issues such as intellectual property, copyright, data licensing, ethics, data protection, freedom of information, and confidentiality. While librarians at ZSM possess basic IT and computer skills they lack skills specific for RDM. The study informs the shaping of policies, practices, and strategies regarding the introduction of RDM services in Zimbabwean academic libraries.
... The author mentioned that due to deliberate leadership effect and support from the staff, the University of Queensland Library delivers effective RDM services to researchers. Cox et al. (2017), investigated developments of Research Data Management in academic libraries in seven countries (Australia, Canada, Germany, Ireland, Netherlands, New Zealand and UK). The author focuses on development in the areas of RDM policy and governance, service developments, and staff deployment and skills. ...
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The study examined the research data management and related services offered by South Asian countries' academic libraries. Research applied quantitative approach and survey research design method were used for this study. The survey questionnaire was distributed randomly to academic library professionals in five countries: Afghanistan, Bangladesh, India, Pakistan, and Sri Lanka. The sample population comprised 67 library professionals from various institutes of five countries. The study's findings revealed that 83.6% of institute libraries provide research data management services to their users. The study recommends that institutes or funding organizations support staff to attend conferences and workshops on research data management, library professionals have to join MOOC to take courses related to research data services, Institute or professionals conduct in-house staff workshops and presentations. The study also found that 64.2% agreed compliance with funder requirements and preservation are major issues.
... RDM has been a subject of interest for over a decade, with several academic and research libraries providing and planning for the project. The tremendous growth of academic libraries offering RDM services has been reported, especially in the developed countries (Cox et al., 2017). Although lagging, research and educational institutions in developing nations plan to be part of this changing research environment. ...
Article
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The emergence of data-driven research and demands for the establishment of Research Data Management (RDM) has created interest in academic institutions and research organizations globally. Some of the libraries especially in developed countries have started offering RDM services to their communities. Although lagging behind, some academic libraries in developing countries are at the stage of planning or implementing the service. However, the level of RDM awareness is very low among researchers, librarians and other data practitioners. The objective of this paper is to present available open resources for different data practitioners particularly researchers and librarians. It includes training resources for both researchers and librarians, Data Management Plan (DMP) tool for researchers; data repositories available for researchers to freely archive and share their research data to the local and international communities. A case study with a survey was conducted at the University of Dodoma to identify relevant RDM services so that librarians could assist researchers to make their data accessible to the local and international community. The study findings revealed a low level of RDM awareness among researchers and librarians. Over 50% of the respondent indicated their perceived knowledge as poor in the following RDM knowledge areas; DMP, data repository, long term digital preservation, funders RDM mandates, metadata standards describing data and general awareness of RDM. Therefore, this paper presents available open resources for different data practitioners to improve RDM knowledge and boost the confidence of academic and research libraries in establishing the service.
... Scholars have identified electronic data management, research data management, and ebooks as library problems that are wicked in nature, and Howley notes that the question of public access touches on larger social issues that could be described as wicked. 7 A recent article by Williams and Willet identifies makerspace technology as boundary work, suggesting that it challenges conventional roles and relationships held by libraries and librarians, an approach which implies the existence a wicked problem. 8 Despite these exceptions, at least one set of library scholars has noted that "there are very few applications [of wicked problems] in librarianship." 9 The present study seeks to make the case that the application of the wicked problems framework to the question of the role of the libraries in emerging technology can illuminate new strategies, roles, and pathways forward. ...