Rounding up the data: libraries pushing new frontiers

Reilly, Susan

doi:10.1087/20140506

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…An analysis of job advertisements for such posts by Bonn (2014) shows that, besides calling for a Master's degree in Library and Information Science and advanced disciplinary degrees, and the obligatory excellence in oral and written communication, the requirements include an understanding of best practices in data management and curation. Reilly (2014) explained that libraries will be able to provide data management only in if they cooperate with researchers. Collaborations have come about with relevant institutional departments, IT services and institutional and national data centres.…”

Section: Research Data Managementmentioning

confidence: 99%

Data literacy for researchers and data librarians

Koltay

2016

Journal of Librarianship and Information Science

126

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This paper describes data literacy and emphasizes its importance of data literacy. Data literacy is vital for researchers, who need to become data literate science workers and also for (potential) data management professionals. Its important characteristic is a close connection and similarity to information literacy. To support this argument, a review of literature was done on the importance of data, and the data-intensive paradigm of scientific research, researchers' expected and real behaviour, the nature of research data management, the possible roles of the academic library, data quality and data citation, Besides describing the nature of data literacy and enumerating the related skills, the application of phenomenographic approaches to data literacy and its relationship to the digital humanities have been identified as subjects for further investigations.

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Section: Research Data Managementmentioning

confidence: 99%

Data literacy for researchers and data librarians

Koltay

2016

Journal of Librarianship and Information Science

126

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“…In the recent era of pressure towards open access publication, data sharing, research reproducibility, etc., institutions have entered the realm of issuing mandates related to research conduct and outputs, for many of the reasons outlined above. The push towards openness will have long-term impacts and libraries, even with the rise of research data management support services, cannot manage this trend alone: responses must be cross-functional and institutionally created and supported (Reilly, 2014;Plutchak & Kaplan, 2016). To this end, almost half of higher education institutions have formal research policies (Briney, et al, 2017), and in fact higher education's support of the costs, infrastructure, compliance tracking, and communication required for open access is crucial to its success (Pinfield, 2015).…”

Section: Institutional Perspectivementioning

confidence: 99%

Responding to Change: Reinventing Librarian Identities in the Age of Research Mandates

Glusker¹,

Exner²

2018

Advances in Library Administration and Organization

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This chapter outlines libraries' (and librarians') changing identities in the new world of research mandates from funders, institutions, and publishers. As libraries respond to the demands of these mandates on their users at the individual, departmental and institutional levels, they need to revise their approaches to relationship building and user engagement, as well as maintain flexibility in the face of changing roles and skill requirements. This chapter will (1) outline the changing scholarly ecosystem; (2) summarize major terms and concepts to understand the process of producing research outputs; (3) discuss the perspectives of the major players in the research enterprise; (4) present some of the challenges that research mandates and the changing research environment have brought to libraries; and finally (5) review ways in which libraries have successfully addressed them. The focus here is on the academic research setting, although many of the strategies outlined can be equally applicable in both non-academic research and nonresearch funding contexts.

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Evolution of the “long‐tail” concept for scientific data

Stahlman,

Kouper

2024

Asso for Info Science & Tech

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This review paper explores the evolution of discussions about “long‐tail” scientific data in the scholarly literature. The “long‐tail” concept, originally used to explain trends in digital consumer goods, was first applied to scientific data in 2007 to refer to a vast array of smaller, heterogeneous data collections that cumulatively represent a substantial portion of scientific knowledge. However, these datasets, often referred to as “long‐tail data,” are frequently mismanaged or overlooked due to inadequate data management practices and institutional support. This paper examines the changing landscape of discussions about long‐tail data over time, situated within broader ecosystems of research data management and the natural interplay between “big” and “small” data. The review also bridges discussions on data curation in Library & Information Science (LIS) and domain‐specific contexts, contributing to a more comprehensive understanding of the long‐tail concept's utility for effective data management outcomes. The review aims to provide a more comprehensive understanding of this concept, its terminological diversity in the literature, and its utility for guiding data management, overall informing current and future information science research and practice.

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Rounding up the data: libraries pushing new frontiers

Cited by 4 publications

References 2 publications

Data literacy for researchers and data librarians

Data literacy for researchers and data librarians

Responding to Change: Reinventing Librarian Identities in the Age of Research Mandates

Evolution of the “long‐tail” concept for scientific data

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