Suchergebnisse

Torturing Nurses With Data: Building a Successful Quantitative Research Module

Data in Development: An Overview of Microdata on Developing Countries

"With the appearance of big data, open data, and particularly research data curation on many libraries' radar screens, data service has become a critically important topic for academic libraries. Drawing on the expertise of a diverse community of practitioners, this collection of case studies, original research, survey chapters, and theoretical explorations presents a wide-ranging look at the field of academic data librarianship. By covering the data lifecycle from collection development to preservation, examining the challenges of working with different forms of data, and exploring service models suited to a variety of library types, this volume provides a toolbox of strategies that will allow librarians and administrators to respond creatively and effectively to the data deluge. Edited by Kristi Thompson and Lynda Kellam, Databrarianship: The Academic Data Librarian in Theory and Practice provides advice and insight on data services for all types of academic libraries and will be of interest to library educators"--

Research funder mandates, such as those from the U.S. National Science Foundation (2011), the Canadian Tri-Agency (draft, 2018), and the UK Economic and Social Research Council (2018) now often include requirements for data curation, including where possible data sharing in an approved archive. Data curators need to be prepared for the potential that researchers who have not previously shared data will need assistance with cleaning and depositing datasets so that they can meet these requirements and maintain funding. Data de-identification or anonymization is a major ethical concern in cases where survey data is to be shared, and one which data professionals may find themselves ill-equipped to deal with. This article is intended to provide an accessible and practical introduction to the theory and concepts behind data anonymization and risk assessment, will describe a couple of case studies that demonstrate how these methods were carried out on actual datasets requiring anonymization, and discuss some of the difficulties encountered. Much of the literature dealing with statistical risk assessment of anonymized data is abstract and aimed at computer scientists and mathematicians, while material aimed at practitioners often does not consider more recent developments in the theory of data anonymization. We hope that this article will help bridge this gap.

A Reference Model for Providing Statistical Consulting Services in an Academic Library Setting

As the world struggled to respond to the COVID-19 pandemic, researchers worked around the clock to understand what was going on, medically, socially, and economically. At the same time, usual research processes were disrupted: campuses were closed and normal government data collection and dissemination went haywire. Data professionals in academic libraries sprang into action to help. They shared resources, developed workshops, helped find alternative methods of carrying out research, and found ways of coping with the influx of COVID-related data. Social crises are fought on the front lines by medical professionals and service providers, but they are also fought with research, with information, with data. Libraries are at the nexus of information and communication and library professionals were able to play an important supporting role in helping researchers combat the effects of the pandemic. ; Tandis que le monde tentait de réagir à la pandémie de la COVID-19, les chercheurs ont travaillé jour et nuit pour comprendre ce qui se passait, sur le plan médical, social et économique. En même temps, les procédures de recherche habituelles ont été bouleversées : les campus ont fermé et la collecte et la diffusion normales de données gouvernementales ont été détraquées. Les professionnels en données des bibliothèques universitaires se sont mobilisés pour aider. Ils ont partagé des ressources, ont développé des ateliers, ont aidé à trouver des méthodes alternatives pour mener la recherche et ont trouvé des moyens de gérer l'afflux de données liées à la COVID-19. Les crises sociales sont combattues par les professionnels de la santé et les prestataires de services de première ligne, mais elles sont aussi combattues par la recherche, l'information et les données. Les bibliothèques sont au cœur de l'information et de la communication, et les professionnels des bibliothèques ont pu jouer un rôle de soutien important pour aider les chercheurs à combattre les effets de la pandémie.

In anticipation of the then forthcoming Tri-Agency Research Data Management Policy, a consortium of professionals from Canadian university libraries surveyed researchers on their research data management (RDM) practices, attitudes, and interest in data management services. Data collected from three surveys targeting researchers in science and engineering, humanities and social sciences, and health sciences and medicine were compiled to create a national dataset. The present study is the first large-scale survey investigating researcher RDM practices in Canada, and one of the few recent multi-institutional and multidisciplinary surveys on this topic. This article presents the results of the survey to assess researcher readiness to meet RDM policy requirements, namely the preparation of data management plans (DMPs) and data deposit in a digital repository. The survey results also highlight common trends across the country while revealing differences in practices and attitudes between disciplines. Based on our survey results, most researchers would have to change their RDM behaviors to meet Tri-Agency RDM policy requirements. The data we gathered provides insights that can help institutions prioritize service development and infrastructure that will meet researcher needs. ; En prévision de la future Politique des trois organismes sur la gestion des données de recherche, un consortium de professionnels des bibliothèques universitaires canadiennes a interrogé des chercheurs sur leurs pratiques et leurs attitudes en matière de gestion des données de recherche (GDR) et sur leur intérêt pour les services de gestion des données. Des données recueillies de trois sondages ciblant les chercheurs en sciences et en génie, en sciences humaines et sociales ainsi qu'en sciences de la santé et en médecine ont été compilées pour créer un ensemble de données national. Cette étude est la première enquête à grande échelle sur les pratiques de GDR des chercheurs au Canada et est l'une des rares enquêtes récentes ...