Étiquette : research data

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Researchers and Their Data : Results of an Austrian Survey

This report provides an overview of the Austria-wide survey for research data, which was carried out within the framework of the project e-Infrastructures Austria at the beginning of 2015. This survey was directed at the arts, humanities and sciences staff of all 21 public universities and three extramural research institutions in Austria.

The participants were asked about the following topics :

  • Data types and formats
  • Data archiving, backup and loss
  • Ethical and legal aspects
  • Accessibility and subsequent use
  • Infrastructure and services

This first inquiry conducted at a national level in this context, facilitates the collection of methods for the practical handling of research data in Austria, and is therefore the basis (1) for an on-going effort to optimize infrastructure, (2) for an adaptation of the services provided, as well as (3) for a reorientation of the identification method for resources in this strategic area, which correspond to the expressed needs of people in the research process.

URL : Researchers and Their Data : Results of an Austrian Survey

Alternative location : https://fedora.phaidra.univie.ac.at/fedora/get/o:409318/bdef:Content/get

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The open research value proposition: How sharing can help researchers succeed

Open access, open data, open source, and other open scholarship practices are growing in necessity and popularity, rapidly becoming part of the integral workflow of researchers. However, widespread adoption of many of these practices has not yet been achieved. Understandably, researchers have concerns as to how sharing their work will affect their careers. Some of these concerns stem from a lack of awareness about the career benefits associated with open research.

Herein, we review literature on the open citation advantage, media attention for publicly available research, collaborative possibilities, and special funding opportunities to show how open practices can give researchers a competitive advantage.

URL : The open research value proposition: How sharing can help researchers succeed

Alternative location : https://figshare.com/articles/The_open_research_value_proposition_How_sharing_can_help_researchers_succeed/1619902

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Open Journal Systems and Dataverse Integration– Helping Journals to Upgrade Data Publication for Reusable Research

This article describes the novel open source tools for open data publication in open access journal workflows. This comprises a plugin for Open Journal Systems that supports a data submission, citation, review, and publication workflow; and an extension to the Dataverse system that provides a standard deposit API.

We describe the function and design of these tools, provide examples of their use, and summarize their initial reception. We conclude by discussing future plans and potential impact.

URL : http://journal.code4lib.org/articles/10989

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Research Data Management in the Curriculum: An Interdisciplinary Approach

The increase of digital content in the broad areas of Institutional and domain specific Repositories, Libraries, Archives and Museums and the increased interest in the sharing and preservation of « research data » have triggered the emergence of new roles such as Data Curator. The paper refers about the on-going investigation of current data curator education and training programs with regard to the role of information professionals and/or data scientists in the research lifecycle.

The investigation has been based on a series of workshops and events discussing the concerns of researchers and teachers about digital library and digital curation. A first list of competencies and skills at technical and operational level that professionals should have, has been evidenced. The theoretical framework and structure of educational programmes should have sufficient flexibility to accommodate the needs of various groups of specialists.

URL : http://works.bepress.com/annamaria_tammaro/32/

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Funding models for Open Access digital data repositories

Purpose

The purpose of this paper is to examine funding models for Open Access (OA) digital data repositories whose costs are not wholly core funded. Whilst such repositories are free to access, they are not without significant cost to build and maintain and the lack of both full core costs and a direct funding stream through payment-for-use poses a considerable financial challenge, placing their future and the digital collections they hold at risk.

Design/methodology/approach

The authors document 14 different potential funding streams for OA digital data repositories, grouped into six classes (institutional, philanthropy, research, audience, service, volunteer), drawing on the ongoing experiences of seeking a sustainable funding for the Digital Repository of Ireland (DRI).

Findings

There is no straight forward solution to funding OA digital data repositories that are not wholly core funded, with a number of general and specific challenges facing each repository, and each funding model having strengths and weaknesses. The proposed DRI solution is the adoption of a blended approach that seeks to ameliorate cyclical effects across funding streams by generating income from a number of sources rather than overly relying on a single one, though it is still reliant on significant state core funding to be viable.

Practical implications

The detailing of potential funding streams offers practical financial solutions to other OA digital data repositories which are seeking a means to become financially sustainable in the absence of full core funding.

Originality/value

The review assesses and provides concrete advice with respect to potential funding streams in order to help repository owners address the financing conundrum they face.

URL : http://dx.doi.org/10.1108/OIR-01-2015-0031

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Hidden Treasures: Opening Data in PhD Dissertations in Social Sciences and Humanities

PURPOSE

The paper provides empirical evidence on research data submitted together with PhD dissertations in social sciences and humanities.

APPROACH

We conducted a survey on nearly 300 print and electronic dissertations in social sciences and humanities from the University of Lille 3 (France), submitted between 1987 and 2013.

FINDINGS

After a short overview on open access to electronic dissertations, on small data in dissertations, on data management and curation, and on the challenge for academic libraries, the paper presents the results of the survey. Special attention is paid to the size of the research data in appendices, to their presentation and link to the text, to their sources and typology, and to their potential for further research. Methodological shortfalls of the study are discussed, and barriers to open data (metadata, structure, format) and legal questions (privacy, third-party rights) are addressed. The conclusion provides some recommendations for the assistance and advice to PhD students in managing and depositing their research data.

PRACTICAL IMPLICATIONS

Our survey can be helpful for academic libraries to develop assistance and advice for PhD students in managing their research data in collaboration with the research structures and the graduate schools.

ORIGINALITY

There is a growing body of research papers on data management and curation. Produced along with PhD dissertations, little is known about the characteristics of this material, in particular in social sciences and humanities and the impact on the role of academic libraries.

URL : Hidden Treasures: Opening Data in PhD Dissertations in Social Sciences and Humanities

DOI : http://doi.org/10.7710/2162-3309.1230

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Data Sharing Among Ecology, Evolution, and Natural Resources Scientists: An Analysis of Selected Publications

INTRODUCTION

Understanding the differing data management practices among academic disciplines is an important way to inform existing and emerging library research support and services. This paper reports findings from a study of data sharing practices among ecology, evolution, and natural resources scientists at the University of Minnesota. It examines data sharing rates, methods, and disciplinary differences and discusses the characteristics of researchers, data, methods, and aspects of data sharing across this group of disciplines.

METHODS

Data sharing practices are investigated by reviewing the two most recently published research articles (n=155) for each faculty member (n=78) in three departments at a single large research university. All mentions of data sharing in each publication were pursued in order to locate, analyze, and characterize shared data.

RESULTS

Seventy-two of 155 (46%) articles indicated that related research data was publicly shared by some method. The most prevalent method for data sharing was via journal websites, with 91% of data sharing articles using this method. Ecology, evolution, and behavior scientists shared data at the highest rate (70% of their articles), contrasting with fisheries, wildlife, and conservation biologists (18%), and forest resources (16%).

DISCUSSION

Differences between data sharing practices may be attributable to a range of influences: funder, journal, and institutional policies; disciplinary norms; and perceived or real rewards or incentives, as well as contrasting concerns, cost, or other barriers to sharing data.

CONCLUSION

Study results suggest differential approaches to data services outreach based on discipline and research type and support the need for education and influence on both scientist and journal practices.

URL : Data Sharing Among Ecology, Evolution, and Natural Resources Scientists: An Analysis of Selected Publications

DOI : http://doi.org/10.7710/2162-3309.1244