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

"Storage is a Strategic Issue: Digital Preservation in the Cloud"

Posted in Cloud Computing/SaaS, Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on March 17th, 2015

Gillian Oliver and Steve Knight have published "Storage is a Strategic Issue: Digital Preservation in the Cloud" in .

Here's an excerpt:

Worldwide, many governments are mandating a 'cloud first' policy for information technology infrastructures. In 2013, the National Library of New Zealand's National Digital Heritage Archive (NDHA) outsourced storage of its digital collections. A case study of the decision to outsource and its consequences was conducted, involving interviews of the representatives of three key stakeholders: IT, the NDHA, and the vendor. Clear benefits were identified by interviewees, together with two main challenges. The challenges related to occupational culture tensions, and a shift in funding models. Interviewees also considered whether the cultural heritage sector had any unique requirements. A key learning was that information managers were at risk of being excluded from the detail of outsourcing, and so needed to be prepared to assert their need to know based on their stewardship mandate.

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    "Research Data Explored II: the Anatomy and Reception of figshare"

    Posted in Data Curation, Open Data, and Research Data Management, Publishing, Scholarly Journals on March 6th, 2015

    Peter Kraker et al. have self-archived "Research Data Explored II: the Anatomy and Reception of figshare."

    Here's an excerpt:

    In this paper, we present an analysis of figshare, one of the largest multidisciplinary repositories for research materials to date. We analysed the structure of items archived in figshare, their usage, and their reception in two altmetrics sources (PlumX and ImpactStory). We found that figshare acts as a platform for newly published research materials, and as an archive for PLOS. Depending on the function, we found different bibliometric characteristics. Items archived from PLOS tend to be coming from the natural sciences and are often unviewed and non-downloaded. Self-archived items, however, come from a variety of disciplines and exhibit some patterns of higher usage. In the altmetrics analysis, we found that Twitter was the social media service where research data gained most attention; generally, research data published in 2014 were most popular across social media services. PlumX detects considerably more items in social media and also finds higher altmetric scores than ImpactStory.

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      "Joint Declaration of Data Citation Principles"

      Posted in Data Curation, Open Data, and Research Data Management on March 4th, 2015

      The Data Citation Synthesis Working Group has released the "Joint Declaration of Data Citation Principles."

      Here's an excerpt:

      The Data Citation Principles cover purpose, function and attributes of citations. These principles recognize the dual necessity of creating citation practices that are both human understandable and machine-actionable.

      See also "An Introduction to the Joint Principles for Data Citation."

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        "A Reputation Economy: Results from an Empirical Survey on Academic Data Sharing"

        Posted in Data Curation, Open Data, and Research Data Management on March 4th, 2015

        Benedikt Fecher et al. have self-archived "A Reputation Economy: Results from an Empirical Survey on Academic Data Sharing."

        Here's an excerpt:

        We surveyed 2661 individual academic researchers across all disciplines on their dealings with data, their publication practices, and motives for sharing or withholding research data. The results for 1564 valid responses show that researchers across disciplines recognise the benefit of secondary research data for their own work and for scientific progress as a whole-still they only practice it in moderation. An explanation for this evidence could be an academic system that is not driven by monetary incentives, nor the desire for scientific progress, but by individual reputation-expressed in (high ranked journal) publications. We label this system a Reputation Economy. This special economy explains our findings that show that researchers have a nuanced idea how to provide adequate formal recognition for making data available to others-namely data citations. We conclude that data sharing will only be widely adopted among research professionals if sharing pays in form of reputation. Thus, policy measures that intend to foster research collaboration need to understand academia as a reputation economy. Successful measures must value intermediate products, such as research data, more highly than it is the case now.

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          "The Educational Value of Truly Interactive Science Publishing"

          Posted in Data Curation, Open Data, and Research Data Management, Publishing, Scholarly Journals on March 2nd, 2015

          Michael J. Ackerman has published "The Educational Value of Truly Interactive Science Publishing" in The Journal of Electronic Publishing.

          Here's an excerpt:

          Interactive Scientific Publishing (ISP) has been developed by the Optical Society of America with support from the National Library of Medicine at NIH. It allows authors to electronically publish papers which are linked to the referenced 2D and 3D original image datasets. These image datasets can then be viewed and analyzed interactively by the reader. ISP provides the software for authors to assemble and link their source data to their publication. But more important is that it provides readers with image viewing and analysis tools. The goal of ISP is to improve learning and understanding of the presented information. This paper describes ISP and its effect on learning and understanding. ISP was shown to have enough educational value that readers were willing to invest in the required set-up and learning phases. The social aspects of data sharing and the enlarged review process may be the hardest obstacles to overcome.

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            Data on the Web Best Practices

            Posted in Data Curation, Open Data, and Research Data Management on February 26th, 2015

            W3C has released a draft of Data on the Web Best Practices.

            Here's an excerpt:

            This document provides best practices related to the publication and usage of data on the Web designed to help support a self-sustaining ecosystem. Data should be discoverable and understandable by humans and machines. Where data is used in some way, whether by the originator of the data or by an external party, such usage should also be discoverable and the efforts of the data publisher recognized. In short, following these best practices will facilitate interaction between publishers and consumers.

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              "Researcher Perspectives on Publication and Peer Review of Data"

              Posted in Data Curation, Open Data, and Research Data Management on February 26th, 2015

              John Ernest Kratz and Carly Strasser have published "Researcher Perspectives on Publication and Peer Review of Data" in PLOS ONE.

              Here's an excerpt:

              Data "publication" seeks to appropriate the prestige of authorship in the peer-reviewed literature to reward researchers who create useful and well-documented datasets. The scholarly communication community has embraced data publication as an incentive to document and share data. But, numerous new and ongoing experiments in implementation have not yet resolved what a data publication should be, when data should be peer-reviewed, or how data peer review should work. While researchers have been surveyed extensively regarding data management and sharing, their perceptions and expectations of data publication are largely unknown. To bring this important yet neglected perspective into the conversation, we surveyed ~ 250 researchers across the sciences and social sciences—asking what expectations "data publication" raises and what features would be useful to evaluate the trustworthiness, evaluate the impact, and enhance the prestige of a data publication. We found that researcher expectations of data publication center on availability, generally through an open database or repository. Few respondents expected published data to be peer-reviewed, but peer-reviewed data enjoyed much greater trust and prestige. The importance of adequate metadata was acknowledged, in that almost all respondents expected data peer review to include evaluation of the data's documentation. Formal citation in the reference list was affirmed by most respondents as the proper way to credit dataset creators. Citation count was viewed as the most useful measure of impact, but download count was seen as nearly as valuable. These results offer practical guidance for data publishers seeking to meet researcher expectations and enhance the value of published data.

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                "Digital Curation and Doctoral Research"

                Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on February 25th, 2015

                Daisy Abbott has published "Digital Curation and Doctoral Research" in the International Journal of Digital Curation.

                Here's an excerpt:

                This article considers digital curation in doctoral study and the role of the doctoral supervisor and institution in facilitating students' acquisition of digital curation skills, including some of the potentially problematic expectations of the supervisory relationship with regards to digital curation. Research took the form of an analysis of the current digital curation training landscape, focusing on doctoral study and supervision. This was followed by a survey (n=116) investigating attitudes towards importance, expertise, and responsibilities regarding digital curation. This research confirms that digital curation is considered to be very important within doctoral study but that doctoral supervisors and particularly students consider themselves to be largely unskilled at curation tasks. It provides a detailed picture of curation activity within doctoral study and identifies the areas of most concern. A detailed analysis demonstrates that most of the responsibility for curation is thought to lie with students and that institutions are perceived to have very low responsibility and that individuals tend to over-assign responsibility to themselves. Finally, the research identifies which types of support system for curation are most used and makes suggestions for ways in which students, supervisors, institutions, and others can effectively and efficiently address problematic areas and improve digital curation within doctoral study.

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