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

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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"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

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

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

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

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

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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"Research Data Services in European Academic Research Libraries"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Research Libraries on February 15th, 2017

Carol Tenopir et al. have published "Research Data Services in European Academic Research Libraries" in LIBER Quarterly.

Here's an excerpt:

Research data is an essential part of the scholarly record, and management of research data is increasingly seen as an important role for academic libraries. This article presents the results of a survey of directors of the Association of European Research Libraries (LIBER) academic member libraries to discover what types of research data services (RDS) are being offered by European academic research libraries and what services are planned for the future. Overall, the survey found that library directors strongly agree on the importance of RDS. As was found in earlier studies of academic libraries in North America, more European libraries are currently offering or are planning to offer consultative or reference RDS than technical or hands-on RDS. The majority of libraries provide support for training in skills related to RDS for their staff members. Almost all libraries collaborate with other organizations inside their institutions or with outside institutions in order to offer or develop policy related to RDS. We discuss the implications of the current state of RDS in European academic research libraries, and offer directions for future research.

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"Fostering Effective Data Management Practices at Leiden University"

Posted in Data Curation, Open Data, and Research Data Management, Research Libraries on February 14th, 2017

Peter Verhaar have published "Fostering Effective Data Management Practices at Leiden University" in LIBER Quarterly.

Here's an excerpt:

To actively promote the stewardship of all the research data that are produced at Leiden University, a comprehensive, institution-wide programme was launched in 2015, which centrally aims to encourage its researchers to carefully plan the temporal storage, long-term preservation and potential reuse of their data. This programme, which is managed centrally by the Department of Academic Affairs, and which receives important contributions from academic staff, from Leiden University Libraries, and from the University’s central ICT organisation, basically consists of three parts. Firstly, a basic central policy has been formulated, containing clear guidelines for activities before, during and after research projects. . . . As a second part of the data management programme, faculties have organised workshops and meetings, concentrating on the rationale and on the technical and organisational practicalities of effective data management in order to bring about a discipline-specific protocol. . . . Thirdly, to ensure that scholars can genuinely make a reasoned selection among the many tools that are currently available, a central catalogue was developed which lists and characterises the most relevant data management services.

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