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

Open Data: The Researcher Perspective

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science, Publishing on April 7th, 2017 by Charles W. Bailey, Jr.

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 by Charles W. Bailey, Jr.

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 by Charles W. Bailey, Jr.

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 by Charles W. Bailey, Jr.

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 by Charles W. Bailey, Jr.

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 by Charles W. Bailey, Jr.

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 by Charles W. Bailey, Jr.

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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"The Landscape of Research Data Repositories in 2015: A re3data Analysis"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Digital Repositories on March 16th, 2017 by Charles W. Bailey, Jr.

Maxi Kindling et al. have published "The Landscape of Research Data Repositories in 2015: A re3data Analysis" in D-Lib Magazine.

Here's an excerpt:

This article provides a comprehensive descriptive and statistical analysis of metadata information on 1,381 research data repositories worldwide and across all research disciplines. The analyzed metadata is derived from the re3data database, enabling search and browse functionalities for the global registry of research data repositories. The analysis focuses mainly on institutions that operate research data repositories, types and subjects of research data repositories (RDR), access conditions as well as services provided by the research data repositories. RDR differ in terms of the service levels they offer, languages they support or standards they comply with. These statements are commonly acknowledged by saying the RDR landscape is heterogeneous. As expected, we found a heterogeneous RDR landscape that is mostly influenced by the repositories' disciplinary background for which they offer services.

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"Data Science Programs in U.S. Higher Education: An Interview with the Authors"

Posted in Data Curation, Open Data, and Research Data Management on March 3rd, 2017 by Charles W. Bailey, Jr.

Rong Tang and Watinee Sae-Lim are featured in "Data Science Programs in U.S. Higher Education: An Interview with the Authors," a video article, in the Journal of eScience Librarianship. A transcript of the interview is also available.

Here's an excerpt:

Their exploratory content analysis of 30 randomly selected Data Science (DS) programs from eight disciplines revealed significant gaps in current DS education in the United States. These findings have implications for improving DS education in iSchools and across other disciplines.

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"Data Curation Network: How Do We Compare? A Snapshot of Six Academic Library Institutions’ Data Repository and Curation Services"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Digital Repositories on March 1st, 2017 by Charles W. Bailey, Jr.

Lisa R. Johnston et al. have published "Data Curation Network: How Do We Compare? A Snapshot of Six Academic Library Institutions’ Data Repository and Curation Services" in the Journal of eScience Librarianship.

Here's an excerpt:

Methods: Each institutional lead provided a written summary of their services based on a previously developed structure, followed by group discussion and refinement of descriptions. Service areas assessed include the repository services for data, technologies used, policies, and staffing in place.

Conclusions: Through this process we aim to better define the current levels of support offered by our institutions as a first step toward meeting our project's overarching goal to develop a shared staffing model for data curation across multiple institutions.

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"A Pilot Competency Matrix for Data Management Skills: A Step toward the Development of Systematic Data Information Literacy Programs"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on February 27th, 2017 by Charles W. Bailey, Jr.

Megan R. Sapp Nelson has published "A Pilot Competency Matrix for Data Management Skills: A Step toward the Development of Systematic Data Information Literacy Programs" in the Journal of eScience Librarianship.

Here's an excerpt:

This article describes a significant innovation upon existing competencies by identifying a scaffolding (built upon existing competencies) that moves students progressively from undergraduate training through post graduate coursework and research to post-doctoral work and into the early years of data stewardship. The scaffolding ties together existing research that has been completed in research data management skills and data information literacy with research into the outcomes that are desirable for individuals to present in data management at each of the levels of education. Competencies are aligned according to application (personal, team, research enterprise) in such a way that the skills attained at the undergraduate level give students moving on to graduate work greater familiarity with data management and therefore greater likelihood of success at the graduate and then post graduate and data steward levels.

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"Building a Research Data Management Service at the University of California, Berkeley"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Research Libraries on February 22nd, 2017 by Charles W. Bailey, Jr.

Jamie Wittenberg and Mary Elings have self-archived "Building a Research Data Management Service at the University of California, Berkeley."

Here's an excerpt:

University of California, Berkeley's Library and the central Research Information Technologies unit have collaborated to develop a research data management program that leverages each organization’s expertise and resources to create a unified service. The service offers a range of workshops, consultation, and an online resource. Because of this collaboration, service areas that are often fully embedded in IT, like backup and secure storage, as well as services in the Library domain, like resource discovery and instruction, are integrated into a single research data management program..

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