[Esip-preserve] Digital Libraries Postdoc Position at Lawrence Berkeley National Lab (LBNL) on the ESS-DIVE project

Sophie Hou hou at ucar.edu
Fri Sep 7 12:04:48 EDT 2018

 Hi everyone,

I am sharing the following information per the LBNL's request. Please feel
welcome to pass this information along to anyone who may have interest.

Thank you,

The LBNL has a position posting for a postdoc to work on their archive.
They are looking for someone with a data archiving/library sciences
background to work with them on the ESS-DIVE project . The posting is at
http://m.rfer.us/LBLTU2z4 and the text of the posting is copied below.

Berkeley Lab’s *Computational Research* <http://crd.lbl.gov/> 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* <http://ess-dive.lbl.gov/>) 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

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

   Perform research and participate in curation of submitted environmental

   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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