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

Preserving Transactional Data

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on June 17th, 2016

The Digital Preservation Coalition, UK Data Service, and Charles Beagrie Ltd. have released Preserving Transactional Data .

Here's an excerpt from the announcement:

This report tackles the requirements for preserving transactional data and the accompanying challenges facing companies and institutions that aim to re-use these data for analysis or research, presenting the issues and strategies which emphasize preservation practices that facilitate re-use and reproducibility.

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UK Survey of Academics 2015

Posted in Data Curation, Open Data, and Research Data Management, ERM/Discovery Systems, Scholarly Communication on June 16th, 2016

Ithaka S+R has released UK Survey of Academics 2015.

Here's an excerpt:

This report is the second Ithaka S+R / Jisc / RLUK survey of UK academics. It asks of the UK research community their views on resource discovery, their use of these resources (online and digital), attitudes to research data management, and much more. It provides a powerful insight into how researchers view their own behaviour and the research environment within the UK today.

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"Cloud-Based Big Data Management and Analytics for Scholarly Resources: Current Trends, Challenges and Scope for Future Research"

Posted in Data Curation, Open Data, and Research Data Management, Publishing on June 13th, 2016

Samiya Khan, Kashish A. Shakil, and Mansaf Alam have self-archived "Cloud-Based Big Data Management and Analytics for Scholarly Resources: Current Trends, Challenges and Scope for Future Research."

Here's an excerpt:

With the shifting focus of organizations and governments towards digitization of academic and technical documents, there has been an increasing need to use this reserve of scholarly documents for developing applications that can facilitate and aid in better management of research. In addition to this, the evolving nature of research problems has made them essentially interdisciplinary. As a result, there is a growing need for scholarly applications like collaborator discovery, expert finding and research recommendation systems. This research paper reviews the current trends and identifies the challenges existing in the architecture, services and applications of big scholarly data platform with a specific focus on directions for future research.

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"A Vision for Open Cyber-Scholarly Infrastructures"

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science on June 8th, 2016

Costantino Thanos has published "A Vision for Open Cyber-Scholarly Infrastructures" in Publications.

Here's an excerpt:

The characteristics of modern science, i.e., data-intensive, multidisciplinary, open, and heavily dependent on Internet technologies, entail the creation of a linked scholarly record that is online and open. Instrumental in making this vision happen is the development of the next generation of Open Cyber-Scholarly Infrastructures (OCIs), i.e., enablers of an open, evolvable, and extensible scholarly ecosystem. The paper delineates the evolving scenario of the modern scholarly record and describes the functionality of future OCIs as well as the radical changes in scholarly practices including new reading, learning, and information-seeking practices enabled by OCIs.

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"Revisiting the Data Lifecycle with Big Data Curation"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on June 6th, 2016

Line Pouchard has published "Revisiting the Data Lifecycle with Big Data Curation" in the International Journal of Digital Curation.

Here's an excerpt:

As science becomes more data-intensive and collaborative, researchers increasingly use larger and more complex data to answer research questions. The capacity of storage infrastructure, the increased sophistication and deployment of sensors, the ubiquitous availability of computer clusters, the development of new analysis techniques, and larger collaborations allow researchers to address grand societal challenges in a way that is unprecedented. In parallel, research data repositories have been built to host research data in response to the requirements of sponsors that research data be publicly available. Libraries are re-inventing themselves to respond to a growing demand to manage, store, curate and preserve the data produced in the course of publicly funded research. As librarians and data managers are developing the tools and knowledge they need to meet these new expectations, they inevitably encounter conversations around Big Data. This paper explores definitions of Big Data that have coalesced in the last decade around four commonly mentioned characteristics: volume, variety, velocity, and veracity. We highlight the issues associated with each characteristic, particularly their impact on data management and curation. We use the methodological framework of the data life cycle model, assessing two models developed in the context of Big Data projects and find them lacking. We propose a Big Data life cycle model that includes activities focused on Big Data and more closely integrates curation with the research life cycle. These activities include planning, acquiring, preparing, analyzing, preserving, and discovering, with describing the data and assuring quality being an integral part of each activity. We discuss the relationship between institutional data curation repositories and new long-term data resources associated with high performance computing centers, and reproducibility in computational science. We apply this model by mapping the four characteristics of Big Data outlined above to each of the activities in the model. This mapping produces a set of questions that practitioners should be asking in a Big Data project

The article is under a Creative Commons Attribution 2.0 UK: England & Wales License.

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Research Data Curation Bibliography, Version 6

Posted in Bibliographies, Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Digital Scholarship Publications on June 6th, 2016

Digital Scholarship has released Version 6 of the Research Data Curation Bibliography. This selective bibliography includes over 560 English-language articles, books, and technical reports that are useful in understanding the curation of digital research data in academic and other research institutions. Over 200 new works have been added to the bibliography since version five.

The Research Data Curation Bibliography covers topics such as research data creation, acquisition, metadata, repositories, provenance, management, policies, support services, funding agency requirements, peer review, publication, citation, sharing, reuse, and preservation.

Most sources have been published from January 2009 through May 2016; however, a limited number of earlier key sources are also included. The bibliography includes links to freely available versions of included works. If such versions are unavailable, links to the publishers' descriptions are provided.

Abstracts are included in this bibliography if a work is under a Creative Commons Attribution License (BY and national/international variations), a Creative Commons public domain dedication (CC0), or a Creative Commons Public Domain Mark and this is clearly indicated in the work.

The Research Data Curation Bibliography is under a Creative Commons Attribution 4.0 International License.

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An Analytical Review of Text and Data Mining Practices and Approaches in Europe

Posted in Data Curation, Open Data, and Research Data Management, Legislation and Government Regulation, Reports and White Papers on May 5th, 2016

OpenForum Europe has released An Analytical Review of Text and Data Mining Practices and Approaches in Europe: Policy Recommendations in View of the Upcoming Copyright Legislative Proposal.

Here's an excerpt:

Europe needs a regime which enables any researcher, citizen, company or other entity to engage in TDM activities, using material to which they have lawful access, wherever they feel there is a good idea. The exact commercial rewards can be managed at subsequent stages, depending on the implementation of the mining outcome. The protection could be considered at the point at which some clearly commercially beneficial project, product, service, business or company has emerged.

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"Research Library Associations Endorse Open Data Accord"

Posted in Data Curation, Open Data, and Research Data Management, Open Science, Research Libraries on May 2nd, 2016

ARL has released "Research Library Associations Endorse Open Data Accord."

Here's an excerpt:

IARLA [International Alliance of Research Library Associations] views the Science International accord on "Open Data in a Big Data World" as an important step towards creating and enabling this common vision of the importance of open data. In setting out principles for open data that are derived from emerging practices within the scientific community, the accord lends the voice of a key stakeholder to the case for open data and provides a practical road map for the implementation of open data at the global level.

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"Are Scientific Data Repositories Coping with Research Data Publishing?"

Posted in Data Curation, Open Data, and Research Data Management, Digital Repositories, Open Science on May 2nd, 2016

Massimiliano Assante et al. have published "Are Scientific Data Repositories Coping with Research Data Publishing?" in Data Science Journal.

Here's an excerpt:

This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain. They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation. From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories. These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.

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"Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond"

Posted in Data Curation, Open Data, and Research Data Management on April 28th, 2016

Hannah F. Norton et al. have published "Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond" in the Journal of eScience Librarianship.

Here's an excerpt:

As universities and libraries grapple with data management and "big data," the need for data management solutions across disciplines is particularly relevant in clinical and translational science (CTS) research, which is designed to traverse disciplinary and institutional boundaries. At the University of Florida Health Science Center Library, a team of librarians undertook an assessment of the research data management needs of CTS researchers, including an online assessment and follow-up one-on-one interviews.

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Disciplinary Differences in Opening Research Data

Posted in Data Curation, Open Data, and Research Data Management on April 27th, 2016

PASTEUR4OA has released Disciplinary Differences in Opening Research Data .

Here's an excerpt from the announcement:

This briefing paper presents the current state of open research data across academic disciplines. It describes disciplinary characteristics inhibiting a larger take-up of open research data mandates. Additionally it presents the current strategies and policies established by funders, institutions, journals and data service providers alongside general data policies.

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"Developing Library GIS Services for Humanities and Social Science: An Action Research Approach"

Posted in Data Curation, Open Data, and Research Data Management on April 25th, 2016

College & Research Libraries has released an e-print of "Developing Library GIS Services for Humanities and Social Science: An Action Research Approach" by Ningning Kong, Michael Fosmire, and Benjamin Dewayne Branch.

Here's an excerpt:

In the academic libraries' efforts to support digital humanities and social science, GIS service plays an important role. However, there is no general service model existing about how libraries can develop GIS services to best engage with digital humanities and social science. In this study, we adopted the action research method to develop and improve our service model. Our results suggested that a library's GIS service can support humanities and social science from the research collaboration, learning support, and outreach perspectives, with different focuses according to the stages of learning and research. The research framework adopted in this study not only can serve as an efficient tool for developing GIS services, but also can be expanded to other library service areas.

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