Archives des mots-clés : research data

Enabling Open Science: Wikidata for Research

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Wiki4R will create an innovative virtual research environment (VRE) for Open Science at scale, engaging both professional researchers and citizen data scientists in new and potentially transformative forms of collaboration. It is based on the realizations that (1) the structured parts of the Web itself can be regarded as a VRE, (2) such environments depend on communities, (3) closed environments are limited in their capacity to nurture thriving communities.

Wiki4R will therefore integrate Wikidata, the multilingual semantic backbone behind Wikipedia, into existing research processes to enable transdisciplinary research and reduce fragmentation of research in and outside Europe. By establishing a central shared information node, research data can be linked and annotated into knowledge. Despite occasional uses of Wikipedia or Wikidata in research, significant barriers to broader adoption in the sciences or digital humanities exist, including lack of integration into existing research processes and inadequate handling of provenances.

The proposed actions include providing best practices and tools for semantic mapping, adoption of citation and author identifiers, interoperability layers for integration with existing research environments, and the development of policies for information quality and interchange. The effectiveness of the actions will be tested in pilot use cases.

Unforeseen barriers will be investigated and documented. We will promote the adoption of Wiki4R by making it easy to use and integrate, demonstrate the applicability in selected research domains, and provide diverse training opportunities.

Wiki4R leverages the expertise gained in Europe through the Wikidata and DBpedia projects to further strengthen the established virtual community of 14000 people. As a result of increased interaction between professional science and citizens, it will provide an improved basis for Responsible Research and Innovation and Open Science in the European Research Area.

URL : Enabling Open Science: Wikidata for Research

Alternative location : http://rio.pensoft.net/articles.php?id=7573

Assessing Research Data Management Practices of Faculty at Carnegie Mellon University

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INTRODUCTION

Recent changes to requirements for research data management by federal granting agencies and by other funding institutions have resulted in the emergence of institutional support for these requirements. At CMU, we sought to formalize assessment of research data management practices of researchers at the institution by launching a faculty survey and conducting a number of interviews with researchers.

METHODS

We submitted a survey on research data management practices to a sample of faculty including questions about data production, documentation, management, and sharing practices. The survey was coupled with in-depth interviews with a subset of faculty. We also make estimates of the amount of research data produced by faculty.

RESULTS

Survey and interview results suggest moderate level of awareness of the regulatory environment around research data management. Results also present a clear picture of the types and quantities of data being produced at CMU and how these differ among research domains. Researchers identified a number of services that they would find valuable including assistance with data management planning and backup/storage services. We attempt to estimate the amount of data produced and shared by researchers at CMU.

DISCUSSION

Results suggest that researchers may need and are amenable to assistance with research data management. Our estimates of the amount of data produced and shared have implications for decisions about data storage and preservation.

CONCLUSION

Our survey and interview results have offered significant guidance for building a suite of services for our institution.

URL : Assessing Research Data Management Practices of Faculty at Carnegie Mellon University

DOI : http://doi.org/10.7710/2162-3309.1258

Research Data Services in Academic Libraries: Data Intensive Roles for the Future?

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Objectives

The primary objectives of this study are to gauge the various levels of Research Data Service academic libraries provide based on demographic factors, gauging RDS growth since 2011, and what obstacles may prevent expansion or growth of services.

Methods

Survey of academic institutions through stratified random sample of ACRL library directors across the U.S. and Canada. Frequencies and chi-square analysis were applied, with some responses grouped into broader categories for analysis.

Results

Minimal to no change for what services were offered between survey years, and interviews with library directors were conducted to help explain this lack of change.

Conclusion

Further analysis is forthcoming for a librarians study to help explain possible discrepancies in organizational objectives and librarian sentiments of RDS.

URL : Research Data Services in Academic Libraries: Data Intensive Roles for the Future?

DOI : http://dx.doi.org/10.7191/jeslib.2015.1085

Research data management services in academic research libraries and perceptions of librarians

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The emergence of data intensive science and the establishment of data management mandates have motivated academic libraries to develop research data services (RDS) for their faculty and students. Here the results of two studies are reported: librarians’ RDS practices in U.S. and Canadian academic research libraries, and the RDS-related library policies in those or similar libraries. Results show that RDS are currently not frequently employed in libraries, but many services are in the planning stages.

Technical RDS are less common than informational RDS, RDS are performed more often for faculty than for students, and more library directors believe they offer opportunities for staff to develop RDS-related skills than the percentage of librarians who perceive such opportunities to be available. Librarians need opportunities to learn more about these services either on campus or through attendance at workshops and professional conferences.

URL : Research data management services in academic research libraries and perceptions of librarians

DOI : http://dx.doi.org/10.1016/j.lisr.2013.11.003

 

Researchers and Their Data : Results of an Austrian Survey

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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

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

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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

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

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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