Archive for the 'Data Curation, Open Data, and Research Data Management' Category

"Making Progress Toward Open Data: Reflections on Data Sharing at PLOS ONE"

Posted in Data Curation, Open Data, and Research Data Management, Open Science, Publishing, Scholarly Journals on May 11th, 2017

Meg Byrne has published "Making Progress Toward Open Data: Reflections on Data Sharing at PLOS ONE" in the EveryONE Blog

Here's an excerpt:

PLOS ONE has published over 65,000 papers with a DAS in the three years since the open data policy was put in place. We were initially concerned we would not be able to consider a significant number of submissions because authors could not share data, but this did not turn out to be the case. Since the implementation of the updated policy, we estimate staff have rejected less than 0.1% of submissions due to authors’ unwillingness or inability to share data. What we have seen is a growing acceptance of data sharing and evolution of data sharing practices. For instance, there has been a steady growth in datasets available directly via public data repositories such as the NCBI databases, Figshare or Dryad. While the proportion of articles with a data availability statement linking to one of these repositories is still relatively low, at around 20% in 2016, the growth is encouraging.

Another 60% of articles include data in the main text and supplementary information. While we strongly recommend discipline-specific open repositories where they exist, we also deposit the supporting information files, figures, and tables included with every article to Figshare and give each of these its own DOI. Thus, in addition to being available via the PLOS ONE article, this content is also available through an external data repository. The remaining 20% of papers have data available upon request due to restrictions acceptable under our policy, including restrictions related to sensitive data or because the data are owned by and available from a third party.

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"The Influence of Journal Submission Guidelines on Author’s Reporting of Statistics and Use of Open Research Practices"

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science, Publishing, Scholarly Journals on April 20th, 2017

David Giofrè et al. have published "The Influence of Journal Submission Guidelines on Author's Reporting of Statistics and Use of Open Research Practices" in PLOS ONE.

Here's an excerpt:

From January 2014, Psychological Science introduced new submission guidelines that encouraged the use of effect sizes, estimation, and meta-analysis (the "new statistics"), required extra detail of methods, and offered badges for use of open science practices. We investigated the use of these practices in empirical articles published by Psychological Science and, for comparison, by the Journal of Experimental Psychology: General, during the period of January 2013 to December 2015. The use of null hypothesis significance testing (NHST) was extremely high at all times and in both journals. In Psychological Science, the use of confidence intervals increased markedly overall, from 28% of articles in 2013 to 70% in 2015, as did the availability of open data (3 to 39%) and open materials (7 to 31%). The other journal showed smaller or much smaller changes. Our findings suggest that journal-specific submission guidelines may encourage desirable changes in authors’ practices.

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"Perseids: Experimenting with Infrastructure for Creating and Sharing Research Data in the Digital Humanities"

Posted in Data Curation, Open Data, and Research Data Management, Digital Humanities on April 19th, 2017

Bridget Almas has published "Perseids: Experimenting with Infrastructure for Creating and Sharing Research Data in the Digital Humanities" in the Data Science Journal.

Here's an excerpt:

The Perseids project provides a platform for creating, publishing, and sharing research data, in the form of textual transcriptions, annotations and analyses. An offshoot and collaborator of the Perseus Digital Library (PDL), Perseids is also an experiment in reusing and extending existing infrastructure, tools, and services. This paper discusses infrastructure in the domain of digital humanities (DH). It outlines some general approaches to facilitating data sharing in this domain, and the specific choices we made in developing Perseids to serve that goal. It concludes by identifying lessons we have learned about sustainability in the process of building Perseids, noting some critical gaps in infrastructure for the digital humanities, and suggesting some implications for the wider community.

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"Open Data, [Open] Access: Linking Data Sharing and Article Sharing in the Earth Sciences"

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science, Publishing, Scholarly Journals on April 12th, 2017

Samantha Teplitzky has published "Open Data, [Open] Access: Linking Data Sharing and Article Sharing in the Earth Science" in the Journal of Librarianship and Scholarly Communication.

Here's an excerpt:

INTRODUCTION The norms of a research community influence practice, and norms of openness and sharing can be shaped to encourage researchers who share in one aspect of their research cycle to share in another. Different sets of mandates have evolved to require that research data be made public, but not necessarily articles resulting from that collected data. In this paper, I ask to what extent publications in the Earth Sciences are more likely to be open access (in all of its definitions) when researchers open their data through the Pangaea repository. METHODS Citations from Pangaea data sets were studied to determine the level of open access for each article. RESULTS This study finds that the proportion of gold open access articles linked to the repository increased 25% from 2010 to 2015 and 75% of articles were available from multiple open sources.

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"Organizational Resilience in Data Archives: Three Case Studies in Social Science Data Archives"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on April 10th, 2017

Kristin R. Eschenfelder and Kalpana Shankar have published "Organizational Resilience in Data Archives: Three Case Studies in Social Science Data Archives" in the Data Science Journal.

Here's an excerpt:

In this paper, we draw upon organizational studies theories to approach the issue of sustainability from an organizational perspective, focusing specifically on the organizational histories of three social science data archives (SSDA): ICPSR, UKDA, and LIS. Using a framework of organizational resilience to understand how archives perceive crisis, respond to it, and learn from experience, this article reports on an empirical study of sustainability in these long-lived SSDAs. The study draws from archival documents and interviews to examine how sustainability can and should be conceptualized as on-going processes over time and not as a quality at a single moment.

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Open Data: The Researcher Perspective

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science, Publishing on April 7th, 2017

Elsevier and the Centre for Science and Technology Studies have released Open Data: The Researcher Perspective .

Here's an excerpt:

Combining information from a bibliometric analysis, a survey and case studies, this report examines how researchers share data, the attitudes of researchers toward sharing data, and why researchers might be reticent to share data.

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"An Exploratory Sequential Mixed Methods Approach to Understanding Researchers’ Data Management Practices at UVM: Integrated Findings to Develop Research Data Services"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Research Libraries on April 5th, 2017

Elizabeth A. Berman has published "An Exploratory Sequential Mixed Methods Approach to Understanding Researchers' Data Management Practices at UVM: Integrated Findings to Develop Research Data Services" in the Journal of eScience Librarianship.

Here's an excerpt:

This article reports on the integrated findings of an exploratory sequential mixed methods research design aimed to understand data management behaviors and challenges of faculty at the University of Vermont (UVM) in order to develop relevant research data services. The exploratory sequential mixed methods design is characterized by an initial qualitative phase of data collection and analysis, followed by a phase of quantitative data collection and analysis, with a final phase of integration or linking of data from the two separate strands of data. A joint display was used to integrate data focused on the three primary research questions: How do faculty at UVM manage their research data, in particular how do they share and preserve data in the long-term?; What challenges or barriers do UVM faculty face in effectively managing their research data?; and What institutional data management support or services are UVM faculty interested in?

See also: "An Exploratory Sequential Mixed Methods Approach to Understanding Researchers' Data Management Practices at UVM: Findings from the Qualitative Phase" and "An Exploratory Sequential Mixed Methods Approach to Understanding Researchers' Data Management Practices at UVM: Findings from the Quantitative Phase."

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LEARN Toolkit of Best Practice for Research Data Management

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on April 5th, 2017

LEARN has released the LEARN Toolkit of Best Practice for Research Data Management.

Here's an excerpt from the announcement:

For research performing organisations, this deluge of data presents many challenges in areas such as policy and skills development, training, costs and governance. To help address these issues, today LEARN is publishing the final draft of its Toolkit of Best Practice for Research Data Management.

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A Tour of the Research Data Management (RDM) Service Space. The Realities of Research Data Management, Part 1

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Research Libraries on April 3rd, 2017

OCLC Research has released A Tour of the Research Data Management (RDM) Service Space. The Realities of Research Data Management, Part 1.

Here's an excerpt from the announcement:

The Realities of Research Data Management is a four-part series that explores how research universities are addressing the challenge of managing research data throughout the research lifecycle.

In this introductory report, we provide some brief background on the emergence of RDM as a focus for research support services within higher education, and present a simple framework describing three major components of the RDM service space:

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"On the Reuse of Scientific Data"

Posted in Data Curation, Open Data, and Research Data Management, Open Science on March 29th, 2017

Irene V. Pasquetto, Bernadette M. Randles, and Christine L. Borgman have published "On the Reuse of Scientific Data" in Data Science Journal.

Here's an excerpt:

Data sharing practices, especially motivations and incentives, have received far more study than has data reuse, perhaps because of the array of contested concepts on which reuse rests and the disparate contexts in which it occurs. Here we explicate concepts of data, sharing, and open data as a means to examine data reuse. We explore distinctions between use and reuse of data. Lastly we propose six research questions on data reuse worthy of pursuit by the community: How can uses of data be distinguished from reuses? When is reproducibility an essential goal? When is data integration an essential goal? What are the tradeoffs between collecting new data and reusing existing data? How do motivations for data collection influence the ability to reuse data? How do standards and formats for data release influence reuse opportunities? We conclude by summarizing the implications of these questions for science policy and for investments in data reuse.

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"Practices of Research Data Curation in Institutional Repositories: A Qualitative View from Repository Staff"

Posted in Data Curation, Open Data, and Research Data Management, Digital Repositories, Institutional Repositories on March 23rd, 2017

Dong Joon Lee and Besiki Stvilia have published "Practices of Research Data Curation in Institutional Repositories: A Qualitative View from Repository Staff" in PLOS ONE.

Here's an excerpt from the announcement:

The importance of managing research data has been emphasized by the government, funding agencies, and scholarly communities. Increased access to research data increases the impact and efficiency of scientific activities and funding. Thus, many research institutions have established or plan to establish research data curation services as part of their Institutional Repositories (IRs). However, in order to design effective research data curation services in IRs, and to build active research data providers and user communities around those IRs, it is essential to study current data curation practices and provide rich descriptions of the sociotechnical factors and relationships shaping those practices. Based on 13 interviews with 15 IR staff members from 13 large research universities in the United States, this paper provides a rich, qualitative description of research data curation and use practices in IRs. In particular, the paper identifies data curation and use activities in IRs, as well as their structures, roles played, skills needed, contradictions and problems present, solutions sought, and workarounds applied.

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A Snapshot of Open Data and Open Science Policies in Europe

Posted in Data Curation, Open Data, and Research Data Management, Open Science, Reports and White Papers on March 22nd, 2017

SPARC Europe and the DCC have released A Snapshot of Open Data and Open Science Policies in Europe.

Here's an excerpt from the announcement:

This report is the first in a series that will seek to shed light on similarities and differences in Open Data and Open Science policies between European nations, and to assess their effectiveness in opening research data.

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