Research data management (RDM) focuses on the organization and description of data, from its entry to the research cycle through to the dissemination and archiving of valuable results. RDM entails storage, security, preservation, compliance, quality, sharing and jurisdiction. In the academic world, RDM can support the research process by searching for relevant data, storing data, describing data and advising researchers on good RDM practice. This study focused on developing RDM services. The aim of the study was to establish the role Makerere University Library could play in developing RDM Services. A number of questions were formulated to guide the researcher in finding answers to the research questions. A literature review, based on the research sub-questions, was carried out. The review covered the concept of RDM, academic libraries and their RDM practices, various RDM services in academic libraries, RDM services that require sustainability and how current researchers, in general, manage their data. The research undertaken took a qualitative approach with a case study design. This was due to the need to gather in-depth and comprehensive views and experiences regarding RDM at Makerere University. A purposive sampling technique was used to identify researchers who are actively involved in managing research data at Makerere University. Data were collected using semi structured interviews, from eight participants; one from each college. The participants were selected because of their knowledge about RDM and semi-structured interviews were preferred due to their flexibility. An interview schedule was used as the data collection instrument. Data was transcribed into Microsoft Word for easy analysis. Findings that addressed the research question and sub-questions were presented and interpreted in chapter four and conclusions as well as recommendations were discussed in detail in chapter five of this research report. In summary it is possible to say that although researchers, from across the entire university, generate big volumes of research data it appears that researchers themselves manage, control and store their data making use of different removable devices. This is risky. So there is a need to develop RDM skills for all stakeholders. It does appear though that the researchers at Makerere University would be willing the support of RDM services if these are developed by the library. / Mini Dissertation (MIT)--University of Pretoria, 2017. / Carnegie Corporation of New York / Information Science / MIT / Unrestricted

This study investigated the role of academic libraries in implementing research data services, UKZN being the case study. The objectives of the study were to identify the need for research data services among UKZN researchers, to identify the major challenges associated with introducing research data services at UKZN, and to determine the possibility of implementing research data services at UKZN Libraries. The Data Curation Centre Lifecycle model was adopted as a framework for the study as it manages to connect the different stages of research data management. The study took a mixed methods approach of which interviews and a survey were used. A purposive sample was used to select library staff and random sample was drawn from 1341 UKZN academics. From a sample of 1341, 299 was the minimum size recommended by the Raosoft sample size calculator for a 5% margin of error and 95% confidence level. For quantitative analysis, an online questionnaire was administered using Google Forms. A series of questions were formulated for guidance in obtaining answers to the study objectives. Google Forms was used for the analysis while figures and tables were created using Microsoft Excel. Interviews from the library staff were recorded and data from interviews was transcribed into Microsoft Word. The study revealed that UKZN Libraries are still struggling with RDM policy development. The findings of the study revealed that researchers who responded to the study showed a lack of RDM awareness while library staff showed a moderate level of awareness. The study revealed that researchers at UKZN work with different types of data and they use different storage options such as removable storage devices, computer hard drives and cloud services. Although a few researchers have developed data management plans at UKZN, they have not done so because they were mandated by the institution - UKZN has not yet developed DMPs and library staff are not aware which funders require DMPs. The researchers who responded to the study showed interest in different trainings such as, training on data storage, development of DMPs and metadata creation. The library staff were more eager to provide data storage, data archiving and sharing mainly because of the existence of the UKZN data repository (Yabelana). Study recommendations are based on the analysed data. One of the recommendations was that UKZN Libraries should assume a role of being an advisor and trainer for research data services at UKZN.

This study applies the knowledge, skills, and abilities (KSA) framework for eScience professionals to data service positions in academic libraries. Understanding the KSAs needed to provide data services is of crucial concern. The current study looks at KSAs of data professionals working in the United States academic libraries. An exploratory sequential mixed method design was adopted to discover the KSAs. The study was divided into two phases, a qualitative content analysis of 260 job advertisements for data professionals for Phase 1, and distribution of a self-administered online survey to data professionals working in academic libraries research data services (RDS) for Phase 2. The discovery of the KSAs from the content analysis of 260 job ads and the survey results from 167 data professionals were analyzed separately, and then Spearman rank order correlation was conducted in order to triangulate the data and compare results. The results from the study provide evidence on what hiring managers seek through job advertisements in terms of KSAs and which KSAs data professionals find to be important for working in RDS. The Spearman rank order correlation found strong agreement between job advertisement KSAs and data professionals perceptions of the KSAs.