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

Research Trends Special Issue on Big Data

Posted in Data Curation, Open Data, and Research Data Management on September 30th, 2012

Research Trends has published a special issue on big data.

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    "Academic Libraries as Data Quality Hubs"

    Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on September 16th, 2012

    Michael Joseph Giarlo has self-archived a preprint of "Academic Libraries as Data Quality Hubs" in ScholarSphere.

    Here's an excerpt:

    This position paper argues that academic libraries have a critical role to play serving as data quality hubs on campus, based on the need for increased data quality for "e-science" and on academic libraries' record of providing digital curation and preservation services. Scientific data are shown to be sufficiently at risk to demonstrate a clear niche for such services to be provided. Data quality measurements are defined, and digital curation processes are explained and mapped to these measurements in order to establish that academic libraries already have sufficient competencies "in-house" to provide data quality services. Opportunities for improvement and challenges are identified as areas that are fruitful for future research and exploration.

    | Digital Curation Bibliography: Preservation and Stewardship of Scholarly Works | Digital Scholarship |

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      "The Data Conservancy Instance: Infrastructure and Organizational Services for Research Data Curation"

      Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on September 16th, 2012

      Matthew S. Mayernik, G. Sayeed Choudhury, Tim DiLauro, Elliot Metsger, Barbara Pralle, Mike Rippin, and Ruth Duerr have published "The Data Conservancy Instance: Infrastructure and Organizational Services for Research Data Curation" in the latest issue of D-LIB Magazine.

      Here's an excerpt:

      Digital research data can only be managed and preserved over time through a sustained institutional commitment. Research data curation is a multi-faceted issue, requiring technologies, organizational structures, and human knowledge and skills to come together in complementary ways. This article provides a high-level description of the Data Conservancy Instance, an implementation of infrastructure and organizational services for data collection, storage, preservation, archiving, curation, and sharing. While comparable to institutional repository systems and disciplinary data repositories in some aspects, the DC Instance is distinguished by featuring a data-centric architecture, discipline-agnostic data model, and a data feature extraction framework that facilitates data integration and cross-disciplinary queries. The Data Conservancy Instance is intended to support, and be supported by, a skilled data curation staff, and to facilitate technical, financial, and human sustainability of organizational data curation services. The Johns Hopkins University Data Management Services (JHU DMS) are described as an example of how the Data Conservancy Instance can be deployed.

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        Middleware and Managing Data and Knowledge in a Data-Rich World

        Posted in Data Curation, Open Data, and Research Data Management, Reports and White Papers on September 5th, 2012

        The Trans-European Research and Education Networking Association has released Middleware and Managing Data and Knowledge in a Data-Rich World.

        Here's an excerpt:

        This report explores the important aspects of data handling and storage in the context of future research networks and the associated services. The study encompasses networking requirements, storage, middleware, data policies, and data origin, each of which is considered from the standpoint of five disciplines: Genomics, High Energy Physics, Digital Cultural Heritage, Radio Astronomy, and Distributed Music Performance.

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          Key Digital Preservation Standard Updated: Open Archival Information System (OAIS)

          Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on August 29th, 2012

          ISO has published ISO 14721:2012: Space Data and Information Transfer Systems—Open Archival Information System (OAIS)—Reference Model. A PDF version with marked changes is available from the Consultative Committee for Space Data Systems.

          Here's an excerpt:

          This reference model:

          • provides a framework for the understanding and increased awareness of archival concepts needed for Long Term digital information preservation and access;
          • provides the concepts needed by non-archival organizations to be effective participants in the preservation process;
          • provides a framework, including terminology and concepts, for describing and comparing architectures and operations of existing and future Archives;
          • provides a framework for describing and comparing different Long Term Preservation strategies and techniques;
          • provides a basis for comparing the data models of digital information preserved by Archives and for discussing how data models and the underlying information may change over time;
          • provides a framework that may be expanded by other efforts to cover Long Term Preservation of information that is NOT in digital form (e.g., physical media and physical samples);

          | Digital Curation Bibliography: Preservation and Stewardship of Scholarly Works | Digital Scholarship |

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            "Ten Recommendations for Libraries to Get Started with Research Data Management"

            Posted in Data Curation, Open Data, and Research Data Management, Research Libraries on August 26th, 2012

            The LIBER working group on E-Science has released "Ten Recommendations for Libraries to Get Started with Research Data Management."

            Here's an excerpt:

            LIBER installed the 'E-Science working group' in 2010 to investigate the role libraries can and should play in the field of E-Science. The group decided to focus on research data as it was felt to be the most urgent element of e-science that is of relevance to the community of (research) libraries. The group has held three workshops, the first during the LIBER conference 2011 in Barcelona, the second during the IDCC 2011 conference in Bristol and the third and last one during the LIBER conference 2012 in Tartu. The results of the first two workshops were used as a basis for compiling recommendations to the LIBER ommunity. The "10 recommendations for libraries to support research data management" (see side bar) were finalized and prioritized during the final workshop at the LIBER-conference in Tartu.

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              "Researchers’ Attitudes towards Data Discovery: Implications for a UCLA Data Registry"

              Posted in Data Curation, Open Data, and Research Data Management on August 21st, 2012

              Rachel A. Mandell has self-archived her thesis, "Researchers' Attitudes towards Data Discovery: Implications for a UCLA Data Registry," in SSRN.

              Here's an excerpt:

              The UCLA Data Registry is a tool designed to serve the greater UCLA research community by collecting and making available surrogate records of research datasets. To figure out how to build this system in accordance with the needs of the community, a total of 20 researchers from disparate disciplines were interviewed about their data and metadata practices. The results indicate that researchers' attitudes and behaviors towards making their work discoverable depend on their concept and definition of data. Given that the UCLA Library will build the UCLA Data Registry, it is important to consider the other possible tools that researchers could use in conjunction with the registry to enhance the discoverability of their data. The Data Registry will be built utilizing a basic metadata schema rather than very specific descriptive fields. The interviews also demonstrated that the culture of publishing and venues for data dissemination are shifting away from the traditional journal article publication, especially in emerging areas such as the digital humanities.

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                Best Practices for Citability of Data and Evolving Roles in Scholarly Communication

                Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Reports and White Papers on August 20th, 2012

                Opportunities for Data Exchange has released Best Practices for Citability of Data and Evolving Roles in Scholarly Communication.

                Here's an excerpt:

                This report sets out the current thinking on data citation best practice and presents the results of a survey of librarians asking how new support roles could and should be developed. The findings presented here build on the extensive desk research carried out for the report "Integration of Data and Publication" (Reilly, Schallier, Schrimpf, Smit, & Wilkinson, Sept 2011), which identified that data citation was an area of opportunity for both researchers and libraries. That report also recounted the findings of a workshop held at the LIBER 2011 Conference in Barcelona. . . .This previous work is supported here with further information gathered through extensive desk research, structured interviews and an online survey of LIBER members to explore best practice in data citation and evolving support roles for libraries.

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