@article {3399,
	title = {Measuring success for a future vision: Defining impact in science gateways/virtual research environments},
	journal = {Concurrency and Computation: Practice and Experience},
	volume = {n/a},
	year = {2020},
	abstract = {Summary Scholars worldwide leverage science gateways/virtual research environments (VREs) for a wide variety of research and education endeavors spanning diverse scientific fields. Evaluating the value of a given science gateway/VRE to its constituent community is critical in obtaining the financial and human resources necessary to sustain operations and increase adoption in the user community. In this article, we feature a variety of exemplar science gateways/VREs and detail how they define impact in terms of, for example, their purpose, operation principles, and size of user base. Further, the exemplars recognize that their science gateways/VREs will continuously evolve with technological advancements and standards in cloud computing platforms, web service architectures, data management tools and cybersecurity. Correspondingly, we present a number of technology advances that could be incorporated in next-generation science gateways/VREs to enhance their scope and scale of their operations for greater success/impact. The exemplars are selected from owners of science gateways in the Science Gateways Community Institute (SGCI) clientele in the United States, and from the owners of VREs in the International Virtual Research Environment Interest Group (VRE-IG) of the Research Data Alliance. Thus, community-driven best practices and technology advances are compiled from diverse expert groups with an international perspective to envisage futuristic science gateway/VRE innovations.},
	keywords = {futuristic vision, measuring impact, science gateways, success metrics, virtual research environments},
	doi = {https://doi.org/10.1002/cpe.6099},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.6099},
	author = {Calyam, Prasad and Wilkins-Diehr, Nancy and Miller, Mark and Brookes, Emre H. and Arora, Ritu and Chourasia, Amit and Jennewein, Douglas M. and Nandigam, Viswanath and Drew LaMar, M. and Cleveland, Sean B. and Newman, Greg and Wang, Shaowen and Zaslavsky, Ilya and Cianfrocco, Michael A. and Ellett, Kevin and Tarboton, David and Jeffery, Keith G. and Zhao, Zhiming and Gonz{\'a}lez-Aranda, Juan and Perri, Mark J. and Tucker, Greg and Candela, Leonardo and Kiss, Tamas and Gesing, Sandra}
}
@article {3340,
	title = {Leading Progress in Digital Terrain Analysis and Modeling},
	journal = {ISPRS International Journal of Geo-Information},
	volume = {8},
	year = {2019},
	pages = {372},
	abstract = {Digital Terrain analysis (DTA) and modeling has been a flourishing interdisciplinary field for decades, with applications in hydrology, geomorphology, soil science, engineering projects and computer sciences. Currently, DTA is characterized by a proliferation of multispectral data from new sensors and platforms, driven by regional and national governments, commercial businesses, and scientific groups, with a general trend towards data with higher spatial, spectral or temporal resolutions. Deriving meaningful and interpretable products from such a large pool of data sources sets new challenges. The articles included in this special issue (SI) focuses on terrain analysis applications that advance the fields of hydrology, geomorphology, soil science, geographic information software (GIS), and computer science. They showcase challenging examples of DTA tackling different subjects or different point of views on the same subject.},
	issn = {2220-9964},
	doi = {10.3390/ijgi8090372},
	url = {https://www.mdpi.com/2220-9964/8/9/372},
	author = {Sofia, Giulia and Eltner, Anette and Nikolopoulos, Efthymios and Crosby, Christopher}
}
