Archives des mots-clés : case study

Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in The BMJ and PLOS Medicine

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Authors : Florian Naudet, Charlotte Sakarovitch, Perrine Janiaud, Ioana Cristea, Daniele Fanelli, David Moher, John P A Ioannidis

Objectives

To explore the effectiveness of data sharing by randomized controlled trials (RCTs) in journals with a full data sharing policy and to describe potential difficulties encountered in the process of performing reanalyses of the primary outcomes.

Design

Survey of published RCTs.

Setting

PubMed/Medline.

Eligibility criteria

RCTs that had been submitted and published by The BMJ and PLOS Medicine subsequent to the adoption of data sharing policies by these journals.

Main outcome measure

The primary outcome was data availability, defined as the eventual receipt of complete data with clear labelling. Primary outcomes were reanalyzed to assess to what extent studies were reproduced. Difficulties encountered were described.

Results

37 RCTs (21 from The BMJ and 16 from PLOS Medicine) published between 2013 and 2016 met the eligibility criteria. 17/37 (46%, 95% confidence interval 30% to 62%) satisfied the definition of data availability and 14 of the 17 (82%, 59% to 94%) were fully reproduced on all their primary outcomes. Of the remaining RCTs, errors were identified in two but reached similar conclusions and one paper did not provide enough information in the Methods section to reproduce the analyses. Difficulties identified included problems in contacting corresponding authors and lack of resources on their behalf in preparing the datasets. In addition, there was a range of different data sharing practices across study groups.

Conclusions

Data availability was not optimal in two journals with a strong policy for data sharing. When investigators shared data, most reanalyses largely reproduced the original results. Data sharing practices need to become more widespread and streamlined to allow meaningful reanalyses and reuse of data.

 

Impact of Institutional Repositories’ on Scholarly Practices of Scientists

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Authors : Prachi Shukla, Naved Ahmad

Institutional Repositories (IRs) are established mainly to provide access to information resources which are otherwise not easily accessible in digital format. Many institutions across the world and particularly in India have successfully developed their own IRs but have not attempted to assess their importance and impact on the Users.

This study conveys the findings of the survey conducted at research centric CSIR (Council of Scientific and Industrial Research) laboratories of India to determine the scientists’ and research scholars’ preference for publishing their research materials; to measure the impact of IRs on their scholarly practices and to recommend future changes for inviting more participation in an IR.

The study deduced that ‘Peer- Review scholarly Journals’ are preferred medium for publishing research content and ‘Increase in the access to grey literature’ is the most significant impact of IR on respondents.

The findings of this research paper provide insight to the IR managers and administrators of low-deposit and low-usage repositories about the contributors’ apprehensions. The study will also help them to define and adopt policies that will eventually enhance their IRs visibility and impact.

URL : https://digitalcommons.unl.edu/libphilprac/1631/

Gathering the Needles: Evaluating the Impact of Gold Open Access Content With Traditional Subscription Journals

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Authors : Alison Boba, Jill Emery

Utilizing the Project COUNTER Release 4 JR1-GOA report, two librarians explore these data in comparison to journal package subscriptions represented via the JR1 reports. This paper outlines the methodology and study undertaken at the Portland State University Library and the University of Nebraska Medical Center Library using these reports for the first time.

The initial outcomes of the study are provided in various Tables for 2014 and 2015. The intent of the study was to provide both institutions with a baseline from which to do further study. In addition, some ideas are given for how these reports can be used in vendor negotiations going forward.

URL : Gathering the Needles: Evaluating the Impact of Gold Open Access Content With Traditional Subscription Journals

DOI : http://dx.doi.org/10.1629/uksg.291

Scaling Research Data Management Services Along the Maturity Spectrum: Three Institutional Perspectives

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Authors : Cinthya Ippoliti, Amy Koshoffer, Renaine Julian, Micah Vandegrift, Devin Soper, Sophie Meridien

Research data services promise to advance many academic libraries’ strategic goals of becoming partners in the research process and integrating library services with modern research workflows. Academic librarians are well positioned to make an impact in this space due to their expertise in managing, curating, and preserving digital information, and a history of engaging with scholarly communications writ large.

Some academic libraries have quickly developed infrastructure and support for every activity ranging from data storage and curation to project management and collaboration, while others are just beginning to think about addressing the data needs of their researchers.

Regardless of which end of the spectrum they identify with, libraries are still seeking to understand the research landscape and define their role in the process.

This article seeks to blend both a general perspective regarding these issues with actual case studies derived from three institutions, University of Cincinnati, Oklahoma State University, and Florida State University, all of which are at different levels of implementation, maturity, and campus involvement.

URL : Scaling Research Data Management Services Along the Maturity Spectrum: Three Institutional Perspectives

DOI : https://dx.doi.org/10.17605/OSF.IO/WZ8FN

 

Harvesting the Academic Landscape: Streamlining the Ingestion of Professional Scholarship Metadata into the Institutional Repository

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Authors : Jonathan Bull, Teresa Auch Schultz

INTRODUCTION

Although librarians initially hoped institutional repositories (IRs) would grow through researcher self-archiving, practice shows that growth is much more likely through library-directed deposit. Libraries must then find efficient ways to ingest material into their IR to ensure growth and relevance.

DESCRIPTION OF PROGRAM

Valparaiso University developed and implemented a workflow that was semiautomated to help cut down on the time needed to ingest articles into its IR, ValpoScholar. The workflow, which continues to be refined, makes use of practices and ideas used by other repositories to more efficiently collect metadata for items and upload them to the repository.

NEXT STEPS

The article discusses the pros and cons of this workflow and areas of ingesting that still need to be addressed, including adding full-text items, checking copyright policies, managing student staffing, and dealing with hurdles created by the repository’s software.

URL : Harvesting the Academic Landscape: Streamlining the Ingestion of Professional Scholarship Metadata into the Institutional Repository

DOI : http://doi.org/10.7710/2162-3309.2201

Exploring the feasibility of applying data mining for library reference service improvement : a case study of Turku Main Library

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Author : Ming Zhan

Data mining, as a heatedly discussed term, has been studied in various fields. Its possibilities in refining the decision-making process, realizing potential patterns and creating valuable knowledge have won attention of scholars and practitioners. However, there are less studies intending to combine data mining and libraries where data generation occurs all the time.

Therefore, this thesis plans to fill such a gap. Meanwhile, potential opportunities created by data mining are explored to enhance one of the most important elements of libraries: reference service. In order to thoroughly demonstrate the feasibility and applicability of data mining, literature is reviewed to establish a critical understanding of data mining in libraries and attain the current status of library reference service.

The result of the literature review indicates that free online data resources other than data generated on social media are rarely considered to be applied in current library data mining mandates. Therefore, the result of the literature review motivates the presented study to utilize online free resources. Furthermore, the natural match between data mining and libraries is established.

The natural match is explained by emphasizing the data richness reality and considering data mining as one kind of knowledge, an easy choice for libraries, and a wise method to overcome reference service challenges. The natural match, especially the aspect that data mining could be helpful for library reference service, lays the main theoretical foundation for the empirical work in this study.

Turku Main Library was selected as the case to answer the research question: whether data mining is feasible and applicable for reference service improvement. In this case, the daily visit from 2009 to 2015 in Turku Main Library is considered as the resource for data mining.

In addition, corresponding weather conditions are collected from Weather Underground, which is totally free online. Before officially being analyzed, the collected dataset is cleansed and preprocessed in order to ensure the quality of data mining.

Multiple regression analysis is employed to mine the final dataset. Hourly visits are the independent variable and weather conditions, Discomfort Index and seven days in a week are dependent variables. In the end, four models in different seasons are established to predict visiting situations in each season.

Patterns are realized in different seasons and implications are created based on the discovered patterns. In addition, library-climate points are generated by a clustering method, which simplifies the process for librarians using weather data to forecast library visiting situation. Then the data mining result is interpreted from the perspective of improving reference service.

After this data mining work, the result of the case study is presented to librarians so as to collect professional opinions regarding the possibility of employing data mining to improve reference services. In the end, positive opinions are collected, which implies that it is feasible to utilizing data mining as a tool to enhance library reference service.

URL : http://www.doria.fi/handle/10024/124215

Connector, Catalyst and Common Good: Defining the Academic Library of the 21st Century

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Authors : Janice Jaguszewski, Lisa A. McGuire

Clearly articulating how an academic library inspires and transforms teaching, learning and research is critical for library leadership. Conveying the library’s deep expertise throughout the knowledge lifecycle (discovery, use, creation, and sharing) and demonstrating its ability to provide solutions to information problems are core to what an academic library brings to campus collaborations.

At the University of Minnesota, the Health Sciences Libraries have developed a “Space as a Service” model of collaboration that positions them as a vital component of a larger Interprofessional Learning and Education Center within the University’s Academic Health Center.

We describe and discuss six fundamental principles that guide our vision of an academic library as a Connector, Catalyst, Common Good and Service-Rich Environment, and offer a template for applying this model to a range of disciplines.

URL : https://journals.tdl.org/llm/index.php/llm/article/view/7227