The ESIP community has made substantial contributions over the last 20 years. Browse by tab for a selection of contributions related to specific programs.

Data Stewardship Publications

The ESIP Data Stewardship Committee has worked to improve data practices on a number of fronts for many years and remains at the forefront of data preservation, technologies, techniques and thinking. For example, the committee developed Data Citation Guidelines, which are now referenced in the author instructions of the journals of the American Geophysical Union; their use provides credit for data producers and repositories. Most recently, through work initiated by NOAA’s Data Maturity Matrix, the Committee is developing a uniform metric for assessing the state of curation—access, preservation, utility for purpose, etc.—that will work across all types of Earth science data repositories, providing users an easier time determining what data is suitable for their needs and repositories understand the current state of any given data set. Their recent work has resulted in the following publications:

  • Downs, R. R., Duerr, R., Hills, D. J., & Ramapriyan, H. K. (2015). Data stewardship in the Earth sciences. D-Lib, 22(7/8). doi: 10.1045/july2015-downs
  • Downs RR, Lenhardt WC, Robinson E, Davis E, Weber N (2015) Community Recommendations for Sustainable Scientific Software. Journal of Open Research Software, 3: e11.
  • Special Issue: Rescuing Legacy Data for Future Science
    • Hills, D. (2015). Let’s make it easy: A workflow for physical sample metadata rescue. GeoResJ, 6, 1-8. doi: 10.1016/j.grj.2015.02.007
    • Ramdeen, S. (2015). Preservation challenges for geological data at state geological surveys. GeoResJ, 6, 213-220. doi: 10.1016/j.grj.2015.04.002
  • Hills, D., Downs, R. R., Duerr, R., Goldstein, J. C., Parsons, M. A., & Ramapriyan, H. K. (2015). The importance of data set provenance for science. EOS, 96. doi:10.1029/2015EO040557
  • Hou, C.-Y. (2015) Meeting the needs of data management training: The Federation of Earth Science Information Partners (ESIP) Data Management for Scientists Short Course. Issues in Science and Technology Librarianship, 80. doi: 10.5062/F42805MM
  • Mayernik, M. S. Ramamurthy, M. K., & Rauber, R. M. (2015). Data archiving and citation within AMS journals. Mon. Wea. Rev., 143, 993–994. doi: 10.1175/2015MWR2222.1
  • Peng, G., Privette, J. L., Kearns, E. J., Ritchey, N. A., & Ansari, S. (2015). A unified framework for measuring stewardship practices applied to digital environmental datasets. Data Science Journal, 13, 231-253. doi:10.2481/dsj.14-049
  • Starr J, Castro E, Crosas M, Dumontier M, Downs RR, Duerr R, Haak LL, Haendel M, Herman I, Hodson S, Hourclé J, Kratz JE, Lin J, Nielsen LH, Nurnberger A, Proell S, Rauber A, Sacchi S, Smith A, Taylor M, Clark T. (2015) Achieving human and machine accessibility of cited data in scholarly publications. PeerJ Computer Science, 1:e1

 Other Publications

  • Zheng, J., Fu, L., Ma, X., Fox, P., 2015. SEM+: tool for discovering concept mapping in Earth science related domain. Earth Science Informatics 8 (1), 95-102. .
  • Wang, H., Zheng, J.G., Ma, X., Fox P., Ji, H., 2015. Language and Domain Independent Entity Linking with Quantified Collective Validation. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP2015). 10 pp. [Best Paper Nomination]


ESIP Lab: The ESIP Lab empowers the scientific community by supporting ideation, incubation and evaluation of Earth sciences cyberinfrastructure. The Lab supports solution-oriented projects that have discrete development periods and associated budgets. 

Project Lead

Project Title

Supporting Org


ESIP USGS Provenance Activity Report ESIP Lab


ESIP Semantic Technology Evaluation Semantic Technologies
ESIP Community PROV Challenge USGS
Sean Gordon ESIPhub: Developing and promoting an ESIP community resource for
sharing and running scientific workflows via JupyterHub
Niklas Griessbaum Equipping OPeNDAP with data citation functionality ESIP Lab
Andrea Thomer Enhancing sUAS Data with Semantic Technologies ESIP Lab
Yongyao Jiang Improve Earth Data Discovery through Deep Query Understanding ESIP Lab


Anne Nolin, Eric Sproles and Ryan Crumley Cloud-based computing for predicting streamflow in snowmelt dominated watersheds Products and Services
Fei Hu, Zhenlong Li Prototyping a Cloud-based High Performance Spatial Web Portal for Parallel Analytics of Big Climate Data Products and Services
Lewis McGibbney, Yongyao Jiang An Automatic Approach to Building Earth Science Knowledge Graph to Improve Data Discovery Products and Services
Nancy Hoebelheinrich Usability Heuristics for ESIP Testbed Projects Products and Services
Jane Wyngaard, Lindsay Barbieri Drones for Science Software Stack SSEDD Drones Cluster
ESIP NASA AIST Technology Evaluations Products and Services


ESIP NASA AIST Technology Evaluations Products and Services
Tom Narock Consuming and Reusing Semantic Geoscience Data Semantic Web Cluster
Dave Jones Addressing an Immediate Need: Establishing the Multi-State Fleet Response Working Group C-COP to Accelerate Geospatial Data Testing Across Public and Private Sectors Disaster Cluster
Emily Law Expanding a Collaborative Common Operating Picture (CCOP) to Accelerate Geospatial Data Testing Disaster Cluster
John Graybeal Evaluating Prototypes in ESIP’s Testbed Ecosystem (FastTrack) Products & Services


Emily Law Disaster Life Cycle Testbed – An ESIP Product & Service Testbed Proposal: Establishing a Collaborative Common Operating Picture (CCOP) Disaster Cluster
Eugene Chi Connect, Share and Discover ESIP Research and Expertise using VIVO Technology ESIP Testbed Web Support
Marshall Ma An entity linking service for documents and datasets in Earth and environmental sciences Semantic Web
Matthew Ferritto ToolMatch Service Testbed Project Proposal to Expand Community Engagement ToolMatch – Semantic Web Cluster
Matthew Ferritto ToolMatch Service Testbed Project Semantic Web Cluster, Energy & Climate Cluster
Michael Huhns, Line Pouchard Evaluating the ESIP Ontologies for Mapping and Reconciliation Semantic Web Cluster


Zhipeng Gui, Jizhe Xia, Nanyin Zhou, Chaowei Yang Develop a cloud computing adoption advisory tool Cloud Computing Cluster


FUNding Friday Projects

FUNding Friday, held at the ESIP Summer Meetings, is an opportunity for ESIP students and members to receive small grants. The Products and Services Committee hosts an evening event for those interested in putting together a poster (their proposal), which is the presented to the ESIP community for review. From 2013 to 2016, ESIP awarded 19 FUNding Friday grants.

See all the winners HERE

2016 ESIP Summer Meeting FUNding Friday, Durham, NC

Data Management Clearinghouse – The Data Management Training (DMT) Clearinghouse is a registry for online learning resources focusing on research data management. It was created in a collaboration between the U.S. Geological Survey's Community for Data Integration, the Earth Sciences Information Partnership (ESIP), and DataONE.

Trip reports are captured from ESIP-funded travel.

Additional Content:


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