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

"Towards Narrowing the Curation Gap—Theoretical Considerations and Lessons Learned from Decades of Practice"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on June 23rd, 2016

Ana Sesartić, Andreas Fischlin, and Matthias Töwe ave published "Towards Narrowing the Curation Gap-Theoretical Considerations and Lessons Learned from Decades of Practice" in the ISPRS International Journal of Geo-Information.

Here's an excerpt:

Research as a digital enterprise has created new, often poorly addressed challenges for the management and curation of research to ensure continuity, transparency, and accountability. There is a common misunderstanding that curation can be considered at a later point in the research cycle or delegated or that it is too burdensome or too expensive due to a lack of efficient tools. This creates a curation gap between research practice and curation needs. We argue that this gap can be narrowed if curators provide attractive support that befits research needs and if researchers consistently manage their work according to generic concepts consistently from the beginning. A rather uniquely long-term case study demonstrates how such concepts have helped to pragmatically implement a research practice intentionally using only minimalist tools for sustained, self-contained archiving since 1989. The paper sketches the concepts underlying three core research activities. (i) handling of research data, (ii) reference management as part of scholarly publishing, and (iii) advancing theories through modelling and simulation. These concepts represent a universally transferable best research practice, while technical details are obviously prone to continuous change. We hope it stimulates researchers to manage research similarly and that curators gain a better understanding of the curation challenges research practice actually faces.

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    "The Academic Data Librarian Profession in Canada: History and Future Directions"

    Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Research Libraries on June 22nd, 2016

    S. Vincent Gray and Elizabeth Hill have self-archived "The Academic Data Librarian Profession in Canada: History and Future Directions."

    Here's an excerpt:

    From the 1970s onward, Canadians have been active in developing services and establishing structures to support the dissemination of data. In recent years the academic data profession in Canada has largely developed around access to data from the national statistics agency, Statistics Canada, and around the services which have been developed to permit access to these data. This chapter will provide a historical background for these activities and explain how current and emerging trends continue to affect the profession.

    Research Data Curation Bibliography, Version 6. Over 560 works. Over 200 works added. Live links. Selected abstracts. OA. CC-BY License. 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.

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      "Scholarly Communication and Data"

      Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Publishing, Scholarly Journals on June 22nd, 2016

      Hailey Mooney has self-archived "Scholarly Communication and Data."

      Here's an excerpt:

      The purpose of this chapter is to provide foundational knowledge for the data librarian by developing an understanding of the place of data within the current paradigm of networked digital scholarly communication. This includes defining the nature of data and data publications, examining the open science movement and its effects on data sharing, and delving into the challenges inherent to the wider integration of data into the scholarly communication system and the academic library

      Research Data Curation Bibliography, Version 6. Over 560 works. Over 200 works added. Live links. Selected abstracts. OA. CC-BY License. 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.

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        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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