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Matthew Jones : Curriculum Vitae

Publications

[1]
S. S. Chong, M. Schildhauer, M. O’Brien, B. Mecum, and M. B. Jones, “Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation,” Data Science Journal, vol. 23, no. 1, Jan. 2024, doi: 10.5334/dsj-2024-002.
[2]
W. Li et al., “Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping,” Remote Sensing, vol. 16, no. 5, p. 797, Jan. 2024, doi: 10.3390/rs16050797.
[3]
D. Lowenberg, J. Chodacki, M. Fenner, J. Kemp, and M. B. Jones, Open Data Metrics: Lighting the Fire. Zenodo, 2019. doi: 10.5281/zenodo.3525349.
[4]
L. M. Hallett et al., “codyn: An R package of community dynamics metrics,” Methods in Ecology and Evolution, vol. 7, no. 10, pp. 1146–1151, 2016, doi: 10.1111/2041-210X.12569.
[5]
M. A. Parsons, R. E. Duerr, and M. B. Jones, “The History and Future of Data Citation in Practice,” Data Science Journal, vol. 18, no. 1, p. 52, Nov. 2019, doi: 10.5334/dsj-2019-052.
[6]
A. A. Krisnadhi et al., “The GeoLink Framework for Pattern-based Linked Data Integration.,” in International Semantic Web Conference (Posters & Demos), 2015.
[7]
K. Chard et al., “Application of BagIt-Serialized Research Object Bundles for Packaging and Re-execution of Computational Analyses,” Jul. 2019, doi: 10.5281/zenodo.3381754.
[8]
Y. Cao et al., “DataONE: A Data Federation with Provenance Support,” in Provenance and Annotation of Data and Processes, vol. 9672, M. Mattoso and B. Glavic, Eds., Cham: Springer International Publishing, 2016, pp. 230–234. Accessed: Nov. 04, 2016. [Online]. Available: http://link.springer.com/10.1007/978-3-319-40593-3_28
[9]
S. Gordon et al., “Do Community Recommendations Improve Metadata?,” in AGU Fall Meeting Abstracts, San Francisco, California, Dec. 2016.
[10]
M. B. Jones, B. Mecum, B. Leinfelder, C. S. Jones, and L. Walker, “Linking User Identities Across the DataONE Federation of Data Repositories,” in AGU Fall Meeting Abstracts, San Francisco, California, Dec. 2016.
[11]
D. S. Katz et al., “Report on the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2),” Journal of Open Research Software, vol. 4, no. 1, Feb. 2016, doi: 10.5334/jors.85.
[12]
B. Mecum et al., “Developing Cyberinfrastructure Tools and Services for Metadata Quality Evaluation,” in AGU Fall Meeting Abstracts, San Francisco, California, Dec. 2016.
[13]
A. Shepherd et al., “Persistent Identifiers for Improved Accessibility for Linked Data Querying,” in AGU Fall Meeting Abstracts, San Francisco, California, Dec. 2016.
[14]
A. M. Smith, D. S. Katz, K. E. Niemeyer, and FORCE11 Software Citation Working Group, “Software citation principles,” PeerJ Computer Science, vol. 2, p. e86, Sep. 2016, doi: 10.7717/peerj-cs.86.
[15]
D. S. Katz et al., “Software Citation Implementation Challenges,” arXiv preprint arXiv:1905.08674, 2019.
[16]
A. Budden, M. Jones, and D. Vieglais, “Make Data Count: Data as a First-Class Research Output,” in AGU Fall Meeting Abstracts, 2018.
[17]
A. Patra et al., “Sustaining an Online, Shared Community Resource for Models, Robust Open source Software Tools and Data for Volcanology-the Vhub Experience,” in AGU Fall Meeting Abstracts, 2015.
[18]
C. S. Jones et al., “Data re-use: Tools for producing and displaying data provenance across DataONE repositories,” in AGU Fall Meeting Abstracts, 2018.
[19]
B. Mecum et al., “Science, containerized: Integrating provenance and compute environments with the Whole Tale,” in AGU Fall Meeting Abstracts, 2018.
[20]
R. Sandusky, K. Benedict, A. Budden, and M. Jones, “Engaging the DataONE Community in Sustainability Planning and Execution to Enable Future Evolution and Use of the DataONE Cyberinfrastructure,” in AGU Fall Meeting Abstracts, 2018.
[21]
R. L. Walls et al., “What do we really measure, when we measure characteristics of organisms?,” in TDWG 2015 ANNUAL CONFERENCE, 2015.
[22]
A. Shepherd et al., “Ontology Design Patterns: Bridging the Gap Between Local Semantic Use Cases and Large-Scale, Long-Term Data Integration,” in EGU General Assembly Conference Abstracts, 2015.
[23]
B. Mecum, R. Nenuji, M. B. Jones, D. Vieglais, and M. Schildhauer, “DataONE on the web: Using Schema. org and JSON-LD to enhance data search and access,” in AGU Fall Meeting Abstracts, 2018.
[24]
M. B. Jones, “Make Data Count by Shifting the Culture of Data Publication and Citation through Reproducible Data Papers (Invited)(353142),” in 2018 Fall Meeting, 2018.
[25]
P. Slaughter, T. Habermann, M. B. Jones, S. Gordon, and B. Mecum, “Automating Metadata Evaluation at Research Repositories to Assess Discoverability, Interpretability, and Readiness for Reuse,” in AGU Fall Meeting Abstracts, 2018.
[26]
M. B. Jones, A. Budden, D. Vieglais, and K. Benedict, “Growing an Interoperable Network of Trusted Repositories through DataONE,” in AGU Fall Meeting Abstracts, 2018.
[27]
D. Agarwal et al., “Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE): Report on our First 18 Months,” in AGU Fall Meeting Abstracts, 2018.
[28]
R. A. Arko et al., “GeoLink Triple Store Data,” 2018.
[29]
B. Mecum, M. B. Jones, D. Vieglais, and C. Willis, “Preserving Reproducibility: Provenance and Executable Containers in DataONE Data Packages,” in 2018 IEEE 14th International Conference on e-Science (e-Science), IEEE, 2018, pp. 45–49.
[30]
T. Narock et al., “Provenance Usage in the OceanLink Project,” in AGU Fall Meeting Abstracts, 2014.
[31]
M. Schildhauer, M. Jones, C. Jones, and J. Tao, “Articles of Data Confederation: DataONE, the KNB, and a multitude of Metacats-scaling interoperable data discovery and preservation from the lab to the Internet,” in AGU Fall Meeting Abstracts, 2017.
[32]
M. B. Jones et al., “Credit where credit is due: indexing and exposing data citations in international data repository networks,” in AGU Fall Meeting Abstracts, 2017.
[33]
A. E. Budden et al., “Let’s Make Data Count,” in AGU Fall Meeting Abstracts, 2017.
[34]
M. Fenner et al., “Code of practice for research data usage metrics release 1,” PeerJ Preprints, 2018.
[35]
D. Agarwal et al., “Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE)-A New US DOE Data Archive,” in AGU Fall Meeting Abstracts, 2017.
[36]
M. Jones, D. Vieglais, and B. Wilson, “Interoperability Across the Stewardship Spectrum in the DataONE Repository Federation,” in AGU Fall Meeting Abstracts, 2016.
[37]
V. Stodden et al., “Reproducible Research in the Geosciences,” in AGU Fall Meeting Abstracts, 2016.
[38]
Q. Zhang et al., “Revealing the Detailed Lineage of Script Outputs Using Hybrid Provenance.,” IJDC, vol. 12, no. 2, pp. 390–408, 2017.
[39]
A. Budden et al., “The NSF Arctic Data Center: Leveraging the DataONE Federation to Build a Sustainable Archive for the NSF Arctic Research Community,” in AGU Fall Meeting Abstracts, 2016.
[40]
L. Powers, T. Habermann, M. Jones, and S. Gordon, “Empowering Earth Science Communities to Share Data Through Guided Metadata Improvement,” in AGU Fall Meeting Abstracts, 2015.
[41]
R. Arko et al., “EarthCube GeoLink: Semantics and Linked Data for the Geosciences,” in AGU Fall Meeting Abstracts, 2015.
[42]
A. Shepherd et al., “Linked Data: Forming Partnerships at the Data Layer,” in AGU Fall Meeting Abstracts, 2015.
[43]
B. Ludäscher et al., “Capturing the" whole tale" of computational research: Reproducibility in computing environments,” arXiv preprint arXiv:1610.09958, 2016.
[44]
M. Jones et al., “Realizing the Living Paper using the ProvONE Model for Reproducible Research,” in AGU Fall Meeting Abstracts, 2015.
[45]
A. Mickle et al., “Using Linked Open Data and Semantic Integration to Search Across Geoscience Repositories,” in AGU Fall Meeting Abstracts, 2014.
[46]
R. Idaszak, W. Lenhardt, M. Jones, S. Ahalt, M. Schildhauer, and S. Hampton, “Building a Science Software Institute: Synthesizing the Lessons Learned from the ISEES and WSSI Software Institute Conceptualization Efforts,” in AGU Fall Meeting Abstracts, 2014.
[47]
A. Krisnadhi et al., “The GeoLink modular oceanography ontology,” in International Semantic Web Conference, Springer, Cham, 2015, pp. 301–309.
[48]
M. Jones et al., “Lowering the Barrier to Reproducible Research by Publishing Provenance from Common Analytical Tools,” in AGU Fall Meeting Abstracts, 2015.
[49]
S. Ahalt et al., “NSF workshop on supporting scientific discovery through norms and practices for software and data citation and attribution,” 2015.
[50]
K. Chard et al., “Implementing Computational Reproducibility in the Whole Tale Environment,” in Proceedings of the 2Nd International Workshop on Practical Reproducible Evaluation of Computer Systems, in P-RECS ’19. New York, NY, USA: ACM, 2019, pp. 17–22. doi: 10.1145/3322790.3330594.
[51]
Hallett, Lauren; Avolio, Meghan; Carroll, Ian; Jones, Sydney K.; MacDonald,Andrew A.; Flynn, Dan F. B.; Slaughter, Peter; Ripplinger, Julie; Collins, Scott L.; Gries, Corinna; Jones, Matthew B., “codyn: Community Dynamics Metrics R package (version 2).” KNB Data Repository, 2018. doi: 10.5063/F1N877Z6.
[52]
M. Cheatham et al., “The GeoLink knowledge graph,” Big Earth Data, pp. 1–13, May 2018, doi: 10.1080/20964471.2018.1469291.
[53]
S. L. Collins et al., “Temporal heterogeneity increases with spatial heterogeneity in ecological communities,” Ecology, vol. 99, no. 4, pp. 858–865, 2018, doi: 10.1002/ecy.2154.
[54]
A. Brinckman et al., “Computing environments for reproducibility: Capturing the ‘Whole Tale,’” Future Generation Computer Systems, 2018, doi: 10.1016/j.future.2017.12.029.
[55]
S. E. Hampton et al., “Skills and Knowledge for Data-Intensive Environmental Research,” BioScience, vol. 67, no. 6, pp. 546–557, 2017, doi: 10.1093/biosci/bix025.
[56]
E. Borer, E. Seabloom, M. B. Jones, and M. Schildhauer, “Some Simple Guidelines for Effective Data Management,” Bulletin of the Ecological Society of America, vol. 90, pp. 205–214, 2009, doi: 10.1890/0012-9623-90.2.205.
[57]
Stephanie E Hampton et al., “The Tao of Open Science for Ecology,” 2014, doi: 10.7287/peerj.preprints.549v1.
[58]
J. Kruger, M. Jones, M. Schildhauer, and N. Stevens, “New technologies for automating the management and analysis of conservation data,” Ecological Circuits, vol. 1, pp. 5–8, 2008.
[59]
W. K. Michener and M. B. Jones, “Ecoinformatics: supporting ecology as a data-intensive science,” Trends in Ecology & Evolution, vol. 27, no. 2, pp. 85–93, Jan. 2012, doi: 10.1016/j.tree.2011.11.016.
[60]
C. Gries and M. B. Jones, Eds., “Proceedings of Environmental Information Management Conference 2008,” in Proceedings of Environmental Information Management Conference 2008, Albuquerque, NM, 2008, p. 192. doi: 10.5060/D2S46PV7.
[61]
O. J. Reichman, M. B. Jones, and M. P. Schildhauer, “Challenges and opportunities of open data in ecology.,” Science (New York, N.Y.), vol. 331, no. 6018, pp. 703–5, Feb. 2011, doi: 10.1126/science.1197962.
[62]
I. Altintas, C. Berkley, E. Jaeger, M. Jones, B. Ludäscher, and S. Mock, “Kepler: An Extensible System for Design and Execution of Scientific Workflows,” in Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM’04), IEEE Computer Society, 2004. doi: 10.1109/SSDM.2004.1311241.
[63]
D. Barseghian, I. Altintas, and M. B. Jones, “Accessing and using sensor data within the Kepler scientific workflow system,” in Proceedings of Environmental Information Management Conference 2008, C. Gries and M. B. Jones, Eds., Albuquerque, NM, 2008, pp. 26–32. doi: 10.5060/D2S46PV7.
[64]
D. Barseghian et al., “Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis,” Ecological Informatics, vol. 5, no. 1, pp. 42–50, Jan. 2010, doi: 10.1016/j.ecoinf.2009.08.008.
[65]
D. Barseghian, D. Crawl, M. B. Jones, I. Altintas, J. Tao, and S. Riddle, “Sensor lifecycle management using scientific workflows,” in Proceedings of the Environmental Information Management Conference (EIM 2011), M. B. Jones and C. Gries, Eds., University of California, 2011, pp. 33–38. doi: 10.5060/D2NC5Z4X.
[66]
C. Berkley, S. Bowers, M. B. Jones, B. Ludaescher, M. Schildhauer, and J. Tao, “Incorporating Semantics in Scientific Workflow Authoring,” in Proceedings of the 17th International Conference on Scientific and Statistical Database Management, J. Frew, Ed., Santa Barbara, CA, 2005, pp. 75–78. [Online]. Available: http://2005.ssdbm.org/SSDBM_2005_Proceedings.pdf.
[67]
C. Berkley, S. Bowers, M. B. Jones, J. S. Madin, and M. Schildhauer, “Improving Data Discovery in Metadata Repositories through Semantic Search,” in Proceedings of iSEEK’09, IEEE Computer Society, 2009.
[68]
C. Berkley, M. Jones, J. Bojilova, and D. Higgins, “Metacat: a Schema-IndependentXML Database System,” in Proceedings of the Thirteenth International Conference on Scientific and Statistical Database Management, SSDBM 2001., IEEE Computer Society, 2001, pp. 171–179. doi: 10.1109/SSDM.2001.938549.
[69]
S. Bowers, H. Cao, M. Schildhauer, M. Jones, B. Leinfelder, and M. O’Brien, “A semantic annotation framework for retrieving and analyzing observational datasets,” in Proceedings of the third workshop on Exploiting semantic annotations in information retrieval - ESAIR ’10, New York, New York, USA: ACM Press, 2010, p. 31. doi: 10.1145/1871962.1871982.
[70]
J. Cushing, K. Vanderbilt, J. Brunt, A. Gupta, M. Jones, and P. McCartney, “NSF Long Term Ecological Research Sites – Praxis et Theoria,” in Proceedings of the 17th International Conference on Scientific and Statistical Database Management, J. Frew, Ed., 2005, pp. 303–306. [Online]. Available: http://2005.ssdbm.org/SSDBM_2005_Proceedings.pdf
[71]
E. H. Fegraus, S. Andelman, M. B. Jones, and M. Schildhauer, “Maximizing the Value of Ecological Data with Structured Metadata: An Introduction to Ecological Metadata Language (EML) and Principles for Metadata Creation,” Bulletin of the Ecological Society of America, pp. 158–168, 2005.
[72]
A. Frondorf, M. B. Jones, and S. Stitt., “Linking the FGDC geospatial metadata content standard to the biological/ecological sciences,” in Proceedings of the Third IEEE Computer Society Metadata Conference, Bethesda, MD: IEEE Computer Society, 1999. [Online]. Available: http://computer.org/conferen/proceed/meta/1999/papers/4/afrondorf.html
[73]
D. Higgins, C. Berkley, and M. B. Jones, “Managing Heterogeneous Ecological Data Using Morpho,” in Proceedings of the 14th International Conference on Scientific and Statistical Database Management (SSDBM’02), IEEE Computer Society, 2002, pp. 69–76. doi: 10.1109/SSDM.2002.1029707.
[74]
C. Jones, C. Blanchette, M. Brooke, J. Harris, M. Jones, and M. Schildhauer, “A metadata-driven framework for generating field data entry interfaces in ecology,” Ecological Informatics, vol. 2, no. 3, pp. 270–278, Oct. 2007, doi: 10.1016/j.ecoinf.2007.06.005.
[75]
M. B. Jones, “Web-based Data Management,” in Data and Information Management in the Ecological Sciences: A Resource Guide, W. K. Michener, J. H. Porter, and S. G. Stafford, Eds., Albuquerque, New Mexico: LTER Network Office, University of New Mexico, 1998.
[76]
M. B. Jones, “Meta-information systems and ontologies A special feature from ISEI’06,” Ecological Informatics, vol. 2, no. 3, pp. 193–194, 2007, doi: 10.1016/j.ecoinf.2007.09.003.
[77]
M. B. Jones, C. Berkley, J. Bojilova, and M. Schildhauer, “Managing scientific metadata,” IEEE Internet Computing, vol. 5, no. 5, pp. 59–68, 2001, doi: 10.1109/4236.957896.
[78]
M. B. Jones and C. Gries, “Advances in environmental information management,” Ecological Informatics, vol. 5, no. 1, pp. 1–2, Jan. 2010, doi: 10.1016/j.ecoinf.2010.01.001.
[79]
M. B. Jones and C. Gries, Eds., “Proceedings of the Environmental Information Management Conference (EIM 2011),” in Proceedings of the Environmental Information Management Conference (EIM 2011), Santa Barbara: University of California, 2011, pp. 1–175. doi: 10.5060/D2NC5Z4X.
[80]
M. B. Jones, M. P. Schildhauer, O. J. Reichman, and S. Bowers, “The New Bioinformatics: Integrating Ecological Data from the Gene to the Biosphere,” Annual Review of Ecology, Evolution, and Systematics, vol. 37, no. 1, pp. 519–544, Dec. 2006, doi: 10.1146/annurev.ecolsys.37.091305.110031.
[81]
M. Jones, C. Folt, and S. Guarda, “Characterizing Individual, Population and Community Effects of Sublethal Levels of Aquatic Toxicants - an Experimental Case-Study Using Daphnia,” Freshwater Biology, vol. 26, no. 1, pp. 35–44, 1991, doi: 10.1111/j.1365-2427.1991.tb00506.x.
[82]
B. Leinfelder, S. Bowers, M. O’Brien, M. B. Jones, and M. Schildhauer., “Using Semantic Metadata for Discovery and Integration of Heterogeneous Ecological Data,” in Proceedings of the Environmental Information Management Conference (EIM 2011), M. B. Jones and C. Gries, Eds., Santa Barbara, CA: University of California, 2011, pp. 92–97. doi: 10.5060/D2NC5Z4X.
[83]
B. Leinfelder et al., “Using metadata for loading and querying heterogeneous scientific data,” in Proceedings of Environmental Information Management Conference 2008, C. Gries and M. B. Jones, Eds., Albuquerque, NM, 2008, pp. 90–95. doi: 10.5060/D2S46PV7.
[84]
B. Leinfelder et al., “A metadata-driven approach to loading and querying heterogeneous scientific data,” Ecological Informatics, vol. 5, no. 1, pp. 3–8, Jan. 2010, doi: 10.1016/j.ecoinf.2009.08.006.
[85]
B. Ludaescher et al., “Scientific Process Automation and Workflow Management,” in Scientific Data Management: Challenges, Technology, and Deployment, A. Shoshani and D. Rotem, Eds., Chapman & Hall/CRC, 2009.
[86]
B. Ludäscher et al., “Scientific workflow management and the Kepler system,” Concurrency and Computation: Practice and Experience, vol. 18, no. 10, pp. 1039–1065, Aug. 2006, doi: 10.1002/cpe.994.
[87]
J. S. Madin, S. Bowers, M. P. Schildhauer, and M. B. Jones, “Advancing ecological research with ontologies.,” Trends in Ecology & Evolution, vol. 23, no. 3, pp. 159–68, Mar. 2008, doi: 10.1016/j.tree.2007.11.007.
[88]
W. Michener et al., “Data Integration and Workflow Solutions for Ecology,” Lecture Notes in Computer Science, vol. 3615, pp. 321–324, 2005, doi: 10.1007/11530084_32.
[89]
W. K. Michener et al., “A knowledge environment for the biodiversity and ecological sciences,” Journal of Intelligent Information Systems, vol. 29, no. 1, pp. 111–126, Jan. 2007, doi: 10.1007/s10844-006-0034-8.
[90]
R. Nottrott, M. B. Jones, and M. Schildhauer, “Using XML-structured metadata to automate quality assurance processing for ecological data,” in Proceedings of the Third IEEE Computer Society Metadata Conference, Bethesda, MD: IEEE Computer Society, 1999. [Online]. Available: http://computer.org/conferen/proceed/meta/1999/papers/64/rnottrott.html
[91]
D. R. Peart, M. B. Jones, and P. A. Palmiotto, “Winter injury to red spruce at Mt. Moosilauke, New Hampshire,” Canadian Journal of Forest Research, vol. 21, no. 9, pp. 1380–1389, 1991, doi: 10.1139/x91-195.
[92]
D. R. Peart, N. J. Poage, and M. B. Jones, “Winter injury to subalpine red spruce: influence of prior vigor and effects on subsequent growth,” Canadian Journal of Forest Research, vol. 22, no. 6, pp. 888–892, 1992, doi: 10.1139/x92-118.
[93]
D. Pennington, D. Higgins, A. Peterson, M. B. Jones, B. Ludaescher, and S. Bowers, “Ecological Niche Modeling Using the Kepler Workflow System,” in Workflows for e-Science: Scientific Workflows for Grids, I. J. Taylor, E. Deelman, D. B. Gannon, and M. Shields, Eds., Springer, 2007, pp. 91–108. [Online]. Available: http://www.springer.com/computer/communication+networks/book/978-1-84628-519-6
[94]
S. Romanello et al., “Creating and Providing Data Management Services for the Biological and Ecological Sciences: Science Environment for Ecological Knowledge,” in Proceedings of the 17th International Conference on Scientific and Statistical Database Management, J. Frew, Ed., 2005, pp. 28–31. [Online]. Available: http://2005.ssdbm.org/SSDBM_2005_Proceedings.pdf
[95]
M. Urban-Lurain et al., “An Assessment Database for Supporting Educational Research,” in 2009 39th IEEE Frontiers in Education Conference, San Antonio, TX: IEEE Computer Society, 2009, pp. M2J-1–6. doi: 10.1109/FIE.2009.5350595.
[96]
J. Wang, I. Altintas, C. Berkley, L. Gilbert, and M. B. Jones, “A High-Level Distributed Execution Framework for Scientific Workflows,” 2008 IEEE Fourth International Conference on eScience, pp. 634–639, Dec. 2008, doi: 10.1109/eScience.2008.166.
[97]
J. Wang et al., “Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example,” 2009 Congress on Services - I, pp. 267–274, Jul. 2009, doi: 10.1109/SERVICES-I.2009.9.
[98]
P. H. McCartney and M. B. Jones, “Using XML-encoded Metadata as a Basis for Advanced Information Systems for Ecological Research,” in Proceedings of the 2002 System Cybernetics and Informatics Conference, 2002. [Online]. Available: http://intranet2.lternet.edu/documents/symposia-and-paper-sessions/2002-system-cybernetics-and-informatics-conference
[99]
N. C. Dexter, J. W. Cobb, D. Vieglais, M. B. Jones, and M. Lowe, “DataONE member node pilot integration with TeraGrid?,” in Proceedings of the 2011 TeraGrid Conference on Extreme Digital Discovery - TG ’11, New York, New York, USA: ACM Press, 2011, p. 1. doi: 10.1145/2016741.2016756.
[100]
E. C. Gries, A. Rodrigo, M. B. Jones, and D. Vieglais, “Cyberinfrastructure and the NSF Dimensions of Biodiversity Program Solicitation Planning for Success,” 2010.