Lehnert Kerstin A.

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Last Name
Lehnert
First Name
Kerstin A.
ORCID
0000-0001-7036-1977

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  • Article
    Rescue of long-tail data from the ocean bottom to the Moon : IEDA Data Rescue Mini-Awards
    (Elsevier, 2015-03-27) Hsu, Leslie ; Lehnert, Kerstin A. ; Goodwillie, Andrew ; Delano, John W. ; Gill, James B. ; Tivey, Maurice A. ; Ferrini, Vicki L. ; Carbotte, Suzanne M. ; Arko, Robert A.
    Over the course of a scientific career, a large fraction of the data collected by scientific investigators turns into data at risk of becoming inaccessible to future science. Although a part of the investigators’ data is made available in manuscripts and databases, other data may remain unpublished, non-digital, on degrading or near obsolete digital media, or inadequately documented for reuse. In 2013, Integrated Earth Data Applications (IEDA) provided data rescue mini-awards to three Earth science investigators. IEDA’s user communities in geochemistry, petrology, geochronology, and marine geophysics collect long-tail data, defined as data produced by individuals and small teams for specific projects, tending to be of small volume and initially for use only by these teams, thus being less likely to be easily transferred or reused. Long-tail data are at greater risk of omission from the scientific record. The awarded projects topics were (1) Geochemical and Geochronological data on volcanic rocks from the Fiji, Izu-Bonin-Mariana arc, and Endeavor segments of the global mid-ocean ridge, (2) High-Resolution, Near-bottom Magnetic Field Data, and (3) Geochemistry of Lunar Glasses. IEDA worked closely with the awardees to create a plan for the data rescue, resulting in the registration of hundreds of samples and the entry of dozens of data and documentation files into IEDA data systems. The data were made openly accessible and citable by assigning persistent identifiers for samples and files. The mini-award program proved that a relatively small incentive combined with data facility guidance can motivate investigators to accomplish significant data rescue.
  • Dataset
    GeoLink Triple Store Data
    ( 2018-01-31) Arko, Robert A. ; Carbotte, Suzanne M. ; Chandler, Cynthia ; Cheatham, Michelle ; Fils, Douglas ; Hitzler, Pascal ; Hu, Yingjie ; Janowicz, Kyzysztof ; Ji, Peng ; Jones, Matt ; Krisnadhi, Adila ; Lehnert, Kerstin A. ; Mecum, Bryce ; Mickle, Audrey ; Narock, Tom ; Raymond, Lisa ; Schildhauer, Mark ; Shepherd, Adam ; Wiebe, Peter H.
    A growing collection of standard protocols, formats, and vocabularies, often characterized as the Semantic Web, offers a powerful approach for publishing research data online. The GeoLink project brings together experts from the geosciences, computer science, and library science in an effort to develop Semantic Web components that support discovery and reuse of data and knowledge. GeoLink's participating repositories include content from field expeditions, laboratory analyses, journal publications, conference presentations, theses/reports, and funding awards that span scientific studies from marine geology to marine ecosystems and biogeochemistry to paleoclimatology. One of the outcomes of this project is a network of Linked Data published by participating repositories using those ODPs, and tools to facilitate discovery of related content in multiple repositories. This item will be versioned periodically as the data is re-harvested and processed. The live dataset is currently available for query at http://data.geolink.org/sparql. A demo data application is available at http://demo.geolink.org/.