How Important is Data Curation? Gaps and Opportunities for Academic Libraries

Johnston, Lisa; Carlson, Jake; Hudson‐Vitale, Cynthia; Imker, H.J.; Kozlowski, Wendy; Olendorf, Robert; Stewart, Margaret

doi:10.7710/2162-3309.2198

Cited by 36 publications

(36 citation statements)

References 10 publications

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“…Data curation services provide a technical infrastructure that supports data management by providing persistent storage, assignment of unique identifiers and metadata [29]. By aiming the prevention of data loss and adding value to trusted data assets for current and future use, data curation's main goals overlap with those of digital curation [30].…”

Section: Data Curationmentioning

confidence: 99%

Identifying new roles for academic libraries in supporting data-intensive research

Koltai

2020

Библиосфера

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Reacting to the appearance of data-intensive research prompts academic libraries to become service providers for scholars, who work with research data. Although this is an imperative for libraries worldwide, due to the differences between countries and institutions, the level of readiness to engage in related activities differs from country to country. While some of the related tasks are fairly novel, others heavily build on librarians’ traditional, well-known skills. To identify these tasks, as well as making an inventory of the required skills and abilities, this paper, based on a non-exhaustive review of the recent literature, presents both theoretical and practical issues. It is demonstrated that the most obvious directions of the service development in academic libraries to support data-intensive science are research data management, data curation, data literacy education for users, and data literacy education for librarians.

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Section: Data Curationmentioning

confidence: 99%

Identifying new roles for academic libraries in supporting data-intensive research

Koltai

2020

Библиосфера

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“…Curation activities can include selecting and maintaining bodies of data, annotation, building linkages or interoperability, management of large data sets, data validation, editorial input, archiving, preservation, and so on (Beagrie 2008). The Data Curation Network recently identified 47 data curation activities with the top five researcher identified activities as: data documentation, preserving the "chain of custody," secure data storage, quality assurance for data, and minting of persistent identifiers (Johnston et al 2018). From a practical standpoint, the definition of data curation as a set of activities serves both data curators and data creators in the shared process to identify and refine best practices.…”

Section: Data Curation and Data Sharing In The Academymentioning

confidence: 99%

Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience

Norris¹,

Mader²

2019

JeSLIB

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“…Ultimately, success will involve developing a data curation program that is both scalable as the number of deposits (hopefully) increase and flexible to respond to any growing and changing needs of the research communities that we serve. Research on what data curation services researchers value will also provide important information as we consider what services to provide and how we communicate and market our services to the broader community (Johnston et al, 2018).…”

Section: Measuring Successmentioning

confidence: 99%

Conceptualizing Data Curation Activities Within Two Academic Libraries

Lafferty-Hess¹,

Rudder²,

Downey³

et al. 2018

Preprint

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A growing focus on sharing research data that meet certain standards, such as the FAIR guiding principles, has resulted in libraries increasingly developing and scaling up support for research data. As libraries consider what new data curation services they would like to provide as part of their repository programs, there are various questions that arise surrounding scalability, resource allocation, requisite expertise, and how to communicate these services to the research community. Data curation can involve a variety of tasks and activities. Some of these activities can be managed by systems, some require human intervention, and some require highly specialized domain or data type expertise. At the 2017 Triangle Research Libraries Network Institute, staff from the University of North Carolina at Chapel Hill and Duke University used the 47 data curation activities identified by the Data Curation Network project to create conceptual groupings of data curation activities. The results of this “thought-exercise” are discussed in this white paper. The purpose of this exercise was to provide more specificity around data curation within our individual contexts as a method to consistently discuss our current service models, identify gaps we would like to fill, and determine what is currently out of scope. We hope to foster an open and productive discussion throughout the larger academic library community about how we prioritize data curation activities as we face growing demand and limited resources.

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How Important is Data Curation? Gaps and Opportunities for Academic Libraries

Abstract: This article underwent semi-anonymous peer review in accordance with JLSC's peer review policy.

Cited by 36 publications

References 10 publications

Identifying new roles for academic libraries in supporting data-intensive research

Identifying new roles for academic libraries in supporting data-intensive research

Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience

Conceptualizing Data Curation Activities Within Two Academic Libraries

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