Étiquette : research data

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Research Data Sharing and Reuse Practices of Academic Faculty Researchers: A Study of the Virginia Tech Data Landscape

Author : Yi Shen

This paper presents the results of a research data assessment and landscape study in the institutional context of Virginia Tech to determine the data sharing and reuse practices of academic faculty researchers.

Through mapping the level of user engagement in “openness of data,” “openness of methodologies and workflows,” and “reuse of existing data,” this study contributes to the current knowledge in data sharing and open access, and supports the strategic development of institutional data stewardship.

Asking faculty researchers to self-reflect sharing and reuse from both data producers’ and data users’ perspectives, the study reveals a significant gap between the rather limited sharing activities and the highly perceived reuse or repurpose values regarding data, indicating that potential values of data for future research are lost right after the original work is done.

The localized and sporadic data management and documentation practices of researchers also contribute to the obstacles they themselves often encounter when reusing existing data.

URL : Research Data Sharing and Reuse Practices of Academic Faculty Researchers: A Study of the Virginia Tech Data Landscape

Alternative location : http://www.ijdc.net/index.php/ijdc/article/view/10.2.157

Catégories
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State of Data Guidance in Journal Policies: A Case Study in Oncology

Author: Deborah H. Charbonneau, Joan E. Beaudoin

This article reports the results of a study examining the state of data guidance provided to authors by 50 oncology journals. The purpose of the study was the identification of data practices addressed in the journals’ policies.

While a number of studies have examined data sharing practices among researchers, little is known about how journals address data sharing. Thus, what was discovered through this study has practical implications for journal publishers, editors, and researchers.

The findings indicate that journal publishers should provide more meaningful and comprehensive data guidance to prospective authors. More specifically, journal policies requiring data sharing, should direct researchers to relevant data repositories, and offer better metadata consultation to strengthen existing journal policies.

By providing adequate guidance for authors, and helping investigators to meet data sharing mandates, scholarly journal publishers can play a vital role in advancing access to research data.

URL : State of Data Guidance in Journal Policies: A Case Study in Oncology

Alternative location : http://www.ijdc.net/index.php/ijdc/article/view/10.2.136

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Are Scientific Data Repositories Coping with Research Data Publishing?

Research data publishing is intended as the release of research data to make it possible for practitioners to (re)use them according to “open science” dynamics. There are three main actors called to deal with research data publishing practices: researchers, publishers, and data repositories.

This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain.

They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation.

From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories.

These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.

URL : Are Scientific Data Repositories Coping with Research Data Publishing?

DOI : http://doi.org/10.5334/dsj-2016-006

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Making Student Research Data Discoverable: A Pilot Program Using Dataverse

Introduction

The support and curation of research data underlying theses and dissertations are an opportunity for institutions to enhance their ETD collections.

This article describes a pilot data archiving service that leverages Emory University’s existing Electronic Theses and Dissertations (ETDs) program.

Description of program

This pilot service tested the appropriateness of Dataverse, a data repository, as a data archiving and access solution for Emory University using research data identified in Emory University’s ETD repository, developed the legal documents necessary for a full implementation of Dataverse on campus, and expanded outreach efforts to meet the research data needs of graduate students.

This article also situates the pilot service within the context of Emory Libraries and explains how it relates to other library efforts currently underway.

Next steps

The pilot project team plans to seek permission from alumni whose data were included in the pilot to make them available publicly in Dataverse, and the team will revise the ETD license agreement to allow this type of use.

The team will also automate the ingest of supplemental ETD research data into the data repository where possible and create a workshop series for students who are creating research data as part of their theses or dissertations.

URL : Making Student Research Data Discoverable: A Pilot Program Using Dataverse

URL : https://pid.emory.edu/ark:/25593/q4f1g

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Disciplinary differences in opening research data

The management and widespread sharing of publicly funded research data has gained significant momentum among governments, funders, institutions, journals and data service providers around the world.

However, there is no ‘one-size-fits-all’ approach to open research data across academic disciplines. Different disciplines produce different types of data and have various procedures for analysing, archiving and publishing it.

This briefing paper presents the current state of open research data across academic disciplines. It describes disciplinary characteristics inhibiting a larger take-up of open research data mandates.

Additionally it presents the current strategies and policies established by funders, institutions, journals and data service providers alongside general data policies.

URL : Disciplinary differences in opening research data

Alternative location : http://www.pasteur4oa.eu/resources/209

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Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond

Objective and Setting

As universities and libraries grapple with data management and “big data,” the need for data management solutions across disciplines is particularly relevant in clinical and translational science (CTS) research, which is designed to traverse disciplinary and institutional boundaries.

At the University of Florida Health Science Center Library, a team of librarians undertook an assessment of the research data management needs of CTS researchers, including an online assessment and follow-up one-on-one interviews.

Design and Methods

The 20-question online assessment was distributed to all investigators affiliated with UF’s Clinical and Translational Science Institute (CTSI) and 59 investigators responded. Follow-up in-depth interviews were conducted with nine faculty and staff members.

Results

Results indicate that UF’s CTS researchers have diverse data management needs that are often specific to their discipline or current research project and span the data lifecycle. A common theme in responses was the need for consistent data management training, particularly for graduate students; this led to localized training within the Health Science Center and CTSI, as well as campus-wide training.

Another campus-wide outcome was the creation of an action-oriented Data Management/Curation Task Force, led by the libraries and with participation from Research Computing and the Office of Research.

Conclusions

Initiating conversations with affected stakeholders and campus leadership about best practices in data management and implications for institutional policy shows the library’s proactive leadership and furthers our goal to provide concrete guidance to our users in this area.

URL : Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond

Alternative location : http://escholarship.umassmed.edu/jeslib/vol5/iss1/2/

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Data Management Plan Requirements for Campus Grant Competitions: Opportunities for Research Data Services Assessment and Outreach

Objective

To examine the effects of research data services (RDS) on the quality of data management plans (DMPs) required for a campus-level faculty grant competition, as well as to explore opportunities that the local DMP requirement presented for RDS outreach.

Methods

Nine reviewers each scored a randomly assigned portion of DMPs from 82 competition proposals. Each DMP was scored by three reviewers, and the three scores were averaged together to obtain the final score. Interrater reliability was measured using intraclass correlation.

Unpaired t-tests were used to compare mean DMP scores for faculty who utilized RDS services with those who did not. Unpaired t-tests were also used to compare mean DMP scores for proposals that were funded with proposals that were not funded. One-way ANOVA was used to compare mean DMP scores among proposals from six broad disciplinary categories.

Results

Analyses showed that RDS consultations had a statistically significant effect on DMP scores. Differences between DMP scores for funded versus unfunded proposals and among disciplinary categories were not significant. The DMP requirement also provided a number of both expected and unexpected outreach opportunities for RDS services.

Conclusions

Requiring DMPs for campus grant competitions can provide important assessment and outreach opportunities for research data services.

While these results might not be generalizable to DMP review processes at federal funding agencies, they do suggest the importance, at any level, of developing a shared understanding of what constitutes a high quality DMP among grant applicants, grant reviewers, and RDS providers.

URL : Data Management Plan Requirements for Campus Grant Competitions

DOI : http://dx.doi.org/10.7191/jeslib.2016.1089