Pikula Linda

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Now showing 1 - 10 of 10
  • Article
    Pilot projects for publishing and citing ocean data
    (American Geophysical Union, 2012-10-23) Urban, Edward ; Leadbetter, Adam ; Moncoiffe, Gwenaelle ; Pissierssens, Peter ; Raymond, Lisa ; Pikula, Linda
    In the ocean sciences, a project was started in 2008 to bring together scientists, data managers, and library experts to explore means to (1) increase the submission of data to data centers, (2) make data more accessible for reuse, (3) link data more closely to traditional journal publications, and (4) create a system that gives more credit to data generators. This project is a joint effort among the Scientific Committee on Oceanic Research, the International Oceanographic Data and Information Exchange (IODE) of the United Nations Educational, Scientific and Cultural Organization’s Intergovernmental Oceanographic Commission, and the Marine Biological Laboratory Woods Hole Oceanographic Institution (MBLWHOI) Library.
  • Article
  • Article
    Open Access study materials for better information management: Developing OceanTeacher
    (IAMSLIC, 2006) Nieuwenhuysen, Paul ; Pissierssens, Peter ; Pikula, Linda ; Brown, Murray
  • Article
    Preservation and conservation in the digital age
    (IAMSLIC, 2013) Pikula, Linda ; Kraft, Nancy E.
  • Article
    (IAMSLIC, 2015) Dang Thi Hai Yen ; Nguyen Thanh Van ; Vo Thi Mai ; Pikula, Linda ; Kraft, Nancy E.
  • Presentation
    SCOR/IODE/MBLWHOI Library collaboration on data publication [poster] 
    ( 2011-05-25) Raymond, Lisa ; Pikula, Linda ; Lowry, Roy ; Urban, Edward ; Moncoiffe, Gwenaelle ; Pissierssens, Peter ; Norton, Cathy N.
    This poster describes the development of international standards to publish oceanographic datasets. Research areas include the assignment of persistent identifiers, tracking provenance, linking datasets to publications, attributing credit to data providers, and best practices for the physical composition and semantic description of the content.
  • Article
    SAIL regional talk
    (IAMSLIC, 1992) Pikula, Linda
  • Article
    IAMSLIC 2000: Tides of Technology [introduction]
    (IAMSLIC, 2001) Pikula, Linda
  • Book
    Ocean data publication cookbook
    (UNESCO, 2013) Leadbetter, Adam ; Raymond, Lisa ; Chandler, Cynthia L. ; Pikula, Linda ; Pissierssens, Peter ; Urban, Edward
    Executive summary: This “Cookbook” has been written for data managers and librarians who are interested in assigning a permanent identifier to a dataset for the purposes of publishing that dataset online and for the citation of that dataset within the scientific literature. A formal publishing process adds value to the dataset for the data originators as well as for future users of the data. Value may be added by providing an indication of the scientific quality and importance of the dataset (as measured through a process of peer review), and by ensuring that the dataset is complete, frozen and has enough supporting metadata and other information to allow it to be used by others. Publishing a dataset also implies a commitment to persistence of the data and allows data producers to obtain academic credit for their work in creating the datasets. One form of persistent identifier is the Digital Object Identifier (DOI). A DOI is a character string (a "digital identifier") used to provide a unique identity of an object such as an electronic document. Metadata about the object is stored in association with the DOI name and this metadata may include a location where the object can be found. The DOI for a document is permanent, whereas its location and other metadata may change. Referring to an online document by its DOI provides more stable linking than simply referring to it by its URL, because if its URL changes, the publisher need only update the metadata for the DOI to link to the new URL. A DOI may be obtained for a variety of objects, including documents, data files and images. The assignment of DOIs to peer-reviewed journal articles has become commonplace. This cookbook provides a step-by-step guide to the data publication process and showcases some best practices for data publication.
  • Article
    Annual IAMSLIC President's Report 2000-2001
    (IAMSLIC, 2002) Pikula, Linda