[Rdap] Digital Libraries Postdoc Opportunity

[Matthew Mayernik]

Hello, I am forwarding this opportunity on behalf of colleagues. See below
for details and http://m.rfer.us/LBLTU2z4 for the online posting. Please
contact Deb Agarwal (info below) with any questions.



>
> ---------- Forwarded message ----------
> From: Deb Agarwal <daagarwal at lbl.gov>
>
>
> Berkeley Lab’s Computational Research Division has an opening for a
> Digital Libraries Postdoctoral Scholar. The incumbent will work with
> the DOE’s environmental science community in dramatically improving
> the access and usability of their datasets. The DOE’s Environmental
> Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE)
> is a new digital library for Earth and environmental science data.
> ESS-DIVE will store diverse datasets from various environmental
> sciences including hydrology, geology, ecology, geochemistry, biology,
> climate and geophysics.
>
> Defining and adopting the right digital preservation practices and
> standards for this data are active research topics, involving an
> interdisciplinary community of data scientists, digital librarians and
> environmental scientists. The project will involve working with the
> digital libraries community and DOE’s Environmental System Science
> (ESS) community to select or develop best practices for description,
> curation, and archiving of the diverse data types. We seek talented
> individuals with training in library and information science and a
> strong aptitude for and interest in computational/data science.
>
> You will join the research and development team working on building
> the ESS-DIVE digital library. The candidate will be expected to
> address challenges such as the following:
>
> Develop an understanding of the evolving Digital Object Identifier
> (DOI) space and other unique identifier assignment and versioning
> schemes.
>
> Development of approaches for unique identifiers in ESS-DIVE.
>
> Understanding the space of data asset definition and implementation of
> hierarchical data package and file approaches.
>
> Recommendation of metadata standards for data package and file metadata.
>
> Advancements in data and metadata search.
>
> The successful candidate will join a dynamic interdisciplinary team
> based at LBNL and will work closely with data scientists, and a
> diverse set of environmental researchers including field scientists,
> modelers and experimentalists.
>
> What You Will Do:
>
> Research and provide recommendations on the application of digital
> preservation standards to content in ESS-DIVE and help to advance the
> standards to fit environmental data.
>
> Work with the community to define digital library processes and interfaces.
>
> Perform research and participate in curation of submitted environmental
> data.
>
> Develop structured metadata to enable integration of diverse data by
> location or sample information and use by the terrestrial and
> subsurface ecosystem community.
>
> Research advanced search and visualization for data.
>
> Help integrate best practices in DOI, and other unique identifier
> assignment and versioning schemes with ESS-DIVE.
>
> Create recommendations for managing hierarchical datasets and
> fine-grained file and package metadata.
>
> Collaborate with ESS projects and cyberinfrastructure working groups
> to enable implementation of standards.
>
> Work in a multidisciplinary team environment, including staff with
> backgrounds in earth and environmental sciences, digital library
> tools, techniques, and practices, computer science, etc.
>
> Author peer-reviewed journal articles and contribute to grant proposals.
>
>
> What is Required:
>
> Ph.D. or equivalent experience in library and information science or
> data science related fields.
>
> Demonstrated experience with information organization and access in
> the context of digital libraries.
>
> Familiarity with programming languages such as Python, C++, Java, or
> scripting languages.
>
> Excellent written and oral communication skills.
>
> Established record of peer reviewed publications.
>
>
> Additional Desired Qualifications:
>
> Knowledge of current digital preservation and metadata standards.
>
> Knowledge of data indexing, sorting, and retrieval techniques.
>
> Knowledge of linked data and semantic web development and technologies.
>
> Experience working with large digital collections and datasets.
>
> Experience gathering requirements and developing use cases.
>
>
>
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