W. Christopher Lenhardt

ORCID: 0000-0001-9677-784X
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About
Contact & Profiles
Research Areas
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Data Quality and Management
  • Distributed and Parallel Computing Systems
  • Environmental Monitoring and Data Management
  • Big Data and Business Intelligence
  • Image Processing and 3D Reconstruction
  • scientometrics and bibliometrics research
  • Biomedical and Engineering Education
  • Species Distribution and Climate Change
  • Geological Modeling and Analysis
  • Coastal and Marine Management
  • demographic modeling and climate adaptation
  • Software Engineering Techniques and Practices
  • Geographic Information Systems Studies
  • Advanced Data Storage Technologies
  • Cell Image Analysis Techniques
  • Geochemistry and Geologic Mapping
  • Open Source Software Innovations
  • Interdisciplinary Research and Collaboration
  • Advanced Computational Techniques and Applications
  • Academic Publishing and Open Access
  • Engineering and Information Technology
  • Hydrology and Watershed Management Studies
  • Innovation, Sustainability, Human-Machine Systems

Renaissance Computing Institute
2013-2023

University of North Carolina at Chapel Hill
2013-2023

Institute of Computing Technology
2020

RTI International
2020

Leiden University
2020

Engineering Software Research and Development (United States)
2014

Oak Ridge National Laboratory
2011-2013

University of Tennessee at Knoxville
2013

American University
2000

The field of ecology is poised to take advantage emerging technologies that facilitate the gathering, analyzing, and sharing data, methods, results. concept transparency at all stages research process, coupled with free open access code, papers, constitutes “open science.” Despite many benefits an approach science, a number barriers entry exist may prevent researchers from embracing openness in their own work. Here we describe several key shifts mindset underpin transition more science....

10.1890/es14-00402.1 article EN cc-by Ecosphere 2015-07-01

In recent years, a number of data identification technologies have been developed which purport to permanently identify digital objects. this paper, nine and systems for assigning persistent identifiers are assessed their applicability Earth science (ARKs, DOIs, XRIs, Handles, LSIDs, OIDs, PURLs, URIs/URNs/URLs, UUIDs). The evaluation used four use cases that focused on the suitability each scheme provide Unique Identifiers objects, Locators serve as Citable Locators, uniquely scientific...

10.1007/s12145-011-0083-6 article EN cc-by-nc Earth Science Informatics 2011-07-15

The field of ecology is poised to take advantage emerging technologies that facilitate the gathering, analyzing, and sharing data, methods, results. concept transparency at all stages research process, coupled with free open access code, papers, constitutes "open science." Despite many benefits an approach science, a number barriers entry exist may prevent researchers from embracing openness in their own work. Here we describe several key shifts mindset underpin transition more science....

10.7287/peerj.preprints.549v1 preprint EN 2014-10-21

Understanding the earth as a system requires integrating many forms of data from multiple fields. Builders and funders cyberinfrastructure designed to enable open sharing in geosciences risk key failure mode: What if geoscientists do not use share, discover reuse data? In this study, we report baseline assessment engagement with NSF EarthCube initiative, an effort for geosciences. We find scientists perceive need cross-disciplinary engage where there is organizational or institutional...

10.5334/dsj-2016-008 article EN cc-by Data Science Journal 2016-07-08

This paper examines the potential for comparisons of digital science data curation lifecycles to software lifecycle development provide insight into promoting sustainable software. The goal this is start a dialog examining commonalities, connections, and complementarities between in support We argue, based on initial survey, delving more deeply connections approaches will enhance both science.

10.5334/jors.ax article EN cc-by Journal of Open Research Software 2014-07-09
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