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

Special Issue on Research Data Access and Preservation

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on August 19th, 2013

The latest issue of the Bulletin of the Association for Information Science and Technology focuses on research data access and preservation.

Here's a selection of articles:

  • "Partnerships Between Institutional Repositories, Domain Repositories and Publishers"
  • "The Relevance of Research Data Sharing and Reuse Studies"
  • "Tracking Citations and Altmetrics for Research Data: Challenges and Opportunities"
  • "The Research Data Alliance: Implementing the Technology, Practice and Connections of a Data Infrastructure"
  • "The DCC's Institutional Engagements: Raising Research Data Management Capacity in UK Higher Education"

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    "If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology"

    Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science on July 29th, 2013

    Jillian C. Wallis, Elizabeth Rolando, and Christine L. Borgman have published "If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology" in PLOS ONE.

    Here's an excerpt:

    Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology. These are research domains in which data tend to be local in character, minimally structured, and minimally documented. We report on a ten-year study of the Center for Embedded Network Sensing (CENS), a National Science Foundation Science and Technology Center. We found that CENS researchers are willing to share their data, but few are asked to do so, and in only a few domain areas do their funders or journals require them to deposit data. Few repositories exist to accept data in CENS research areas.. Data sharing tends to occur only through interpersonal exchanges. CENS researchers obtain data from repositories, and occasionally from registries and individuals, to provide context, calibration, or other forms of background for their studies. Neither CENS researchers nor those who request access to CENS data appear to use external data for primary research questions or for replication of studies. CENS researchers are willing to share data if they receive credit and retain first rights to publish their results. Practices of releasing, sharing, and reusing of data in CENS reaffirm the gift culture of scholarship, in which goods are bartered between trusted colleagues rather than treated as commodities.

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      Draft Guidelines for Digital Newspaper Preservation Readiness

      Posted in Data Curation, Open Data, and Research Data Management, Digital Archives and Special Collections on July 26th, 2013

      The Educopia Institute has released Draft Guidelines for Digital Newspaper Preservation Readiness.

      Here's an excerpt:

      These Guidelines are a first-draft version of our work to distil preservation-readiness steps into an incremental process that an institution of almost any size or type should be able to use to begin maturing its digital newspaper content management practices.

      This first draft is being issued for public review and comment here from July 22, 2013-September 20, 2013.

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        Preserving Computer-Aided Design (CAD)

        Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Reports and White Papers on July 25th, 2013

        The Digital Preservation Coalition has released Preserving Computer-Aided Design (CAD).

        Here's an excerpt:

        Computer-Aided Design (CAD) systems are used in both industry and academia to create digital models, whether of engineering designs, archaeological dig sites, or virtual worlds. These models can be of long-lasting significance and importance, particularly if they contain irreplaceable data or relate to long-lived products. This report is primarily aimed at those responsible for archives and repositories with CAD content, but may also be useful for creators of CAD content who want to make their models more amenable to preservation. It begins with an introduction to the historical development and basic concepts of CAD systems, then reviews the most pertinent issues associated with preserving CAD models, and indicates the current state of standardization work in the area. The report goes on to present some recent research of relevance to preserving CAD models before drawing conclusions and making recommendations on how archives should handle the CAD models they accept.

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          Presentations from Open Repositories 2013

          Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Digital Repositories, Institutional Repositories, Open Access on July 22nd, 2013

          Presentations from Open Repositories 2013 are now available.

          Here's a brief selection of talks:

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            Helping to Open Up: Improving Knowledge, Capability and Confidence in Making Research Data More Open

            Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Open Access, Open Science, Reports and White Papers on July 22nd, 2013

            The Research Information and Digital Literacies Coalition has released Helping to Open Up: Improving Knowledge, Capability and Confidence in Making Research Data More Open.

            Here's an excerpt from the announcement:

            The report describes a framework for how to address this challenge when designing training and support for opening data, within the broader questions of RDM. Recommendations are set out, relating to:

            - putting opening data at the heart of policy

            - putting opening data at the heart of training

            - deepening and broadening the training

            - identifying and disseminating best practice in opening data

            - developing institutional and community support

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              UC Berkeley School of Information Launches Online Master of Information and Data Science Program

              Posted in Data Curation, Open Data, and Research Data Management, Information Schools on July 18th, 2013

              The UC Berkeley School of Information has launched an online Master of Information and Data Science program.

              Here's an excerpt from the announcement:

              The I School is staking out new master's degree territory in educating data scientists. While other institutions provide individual classes, certificates, or associate master's degrees in data science, the I School has designed a comprehensive and integrated suite of courses that culminate in a capstone course designed to solidify a student's knowledge of the breadth of data science concepts and skills.

              The rigorous new 27-unit MIDS program officially begins in January 2014. Aimed at the working professional, the program will be offered online—except for a required, one-week immersion program at the I School's home at South Hall, to meet in person and explore the Bay Area tech environment.

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                "Using Data Curation Profiles to Design the Datastar Dataset Registry"

                Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on July 16th, 2013

                Sarah J. Wright, Wendy A. Kozlowski, Dianne Dietrich, Huda J. Khan, and Gail S. Steinhart have published "Using Data Curation Profiles to Design the Datastar Dataset Registry" in the latest issue of D-Lib Magazine.

                Here's an excerpt:

                The development of research data services in academic libraries is a topic of concern to many. Cornell University Library's efforts in this area include the Datastar research data registry project. In order to ensure that Datastar development decisions were driven by real user needs, we interviewed researchers and created Data Curation Profiles (DCPs). Researchers supported providing public descriptions of their datasets; attitudes toward dataset citation, provenance, versioning, and domain specific standards for metadata also helped to guide development. These findings, as well as considerations for the use of this particular method for developing research data services in libraries are discussed in detail.

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