Data Curation and the Academic Library

Walton, Graham

doi:10.1080/13614531003640427

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…Over the past decade academic libraries at institutions of all sizes have been developing services to support research data management and curation (Choudhury, 2008; Goldstein and Oekler, 2011). Spurred by mandates passed down from federal funding agencies that are creating new imperatives for data management and sharing among the research community, academic libraries have seized this opportunity to address this evolving information need on campus (Heidorn, 2011; Hswe and Holt, 2011; Walton, 2010). Extending their training in organizing and managing information, as well as digital preservation and records management, librarians are disposed both by their skill-set and their roles in scholarly communications support to address these needs (Brandt, 2007: 365).…”

Section: Introductionmentioning

confidence: 99%

Team-based data management instruction at small liberal arts colleges

et al. 2017

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This paper describes a collaborative approach taken by librarians at five small, regional liberal arts colleges to developing/enhancing research data management services on their campuses. The five colleges collectively belong to a consortium known as the Northwest Five Consortium. Over 10 months, librarians from the five schools collaborated to plan a data management and curation workshop with the goals of developing relationships with researchers working with data, developing their own research data management skills and services, and building a model for future training and outreach around institutional research data management services. This workshop brought together research teams including faculty, students, and librarians, and incorporated active learning modules as well as in-depth pre-workshop discussion. This article will discuss the context and background for this workshop, the model itself, and the outcomes and possibilities for future developments.

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Section: Introductionmentioning

confidence: 99%

Team-based data management instruction at small liberal arts colleges

et al. 2017

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“…Data curation as one of the key aspects of RDM involving research data capture, appraisal, description, preservation, access, reuse and transformation. Data curation is defined as managing and promoting the use of data from its point of creation, to ensure it is fit for contemporary purpose and available for discovery and use (Lord et al, 2004;Walton, 2010;Laughton and Du Plessis, 2013;. Data curation is the active and on-going management of data throughout its lifecycle of interest and usefulness to research to enable data discovery and retrieval, maintain quality, add value and provide for reuse over time (Palmer, Cragin, Heidorn, and Smith, (2007).…”

Section: Data Curationmentioning

confidence: 99%

“…Data curation is the activity of managing and promoting the use of data from its point of creation to ensure it is fit for contemporary purpose and available for discovery and use (Hinnant et al, 2012;Walton, 2010;and Lord et al, 2004). Data curation consists of a range of activities and processes focused on capture, appraisal, description, preservation, access and reuse which adds value to research data throughout its lifecycle.…”

Section: Research Data Managementmentioning

confidence: 99%

Research Data Management in Kenya's Agricultural Research Institutes

Ng’eno¹

2022

Advances in Library and Information Science

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The purpose of this study was to examine research data management (RDM) in Kenya's agricultural research institutes with the view to proposing interventions to improve management, sharing, and reuse of agricultural research output. The objectives of the study were twofold: to assess the status of research data management in Kenya's agricultural research institutes and to determine the legal and policy framework, ICT infrastructure, and human capital available to facilitate RDM in Kenya's agricultural research institutes. The findings of the study revealed that RDM legal framework did not exist in the institutes surveyed; the RDM policies and regulations were not updated as necessary; the institutes suffered from inadequacies of technical infrastructure, skills, and collaborative partnerships. The study recommended, among others, the establishment of a formal data governance structure to address RDM issues, institutional and policy framework for RDM, capacity building programs, incentives for researchers, and a sound technical infrastructure.

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“…The view that the academic librarian is ideally equipped to support data curation (Furlough 2009, lowry et al 2009, Walton 2010, Christensen-dalsgaard 2012) is gaining acceptance. The role of the academic librarian can be expanded to include involvement in "early planning and data-modeling phase of eresearch" (luce 2008, 44) as well as curation and access (borgman 2010).…”

Section: The Importance Of Research Datamentioning

confidence: 99%