TY - JOUR
T1 - Measuring success for a future vision
T2 - Defining impact in science gateways/virtual research environments
AU - Calyam, Prasad
AU - Wilkins-Diehr, Nancy
AU - Miller, Mark
AU - Brookes, Emre H.
AU - Arora, Ritu
AU - Chourasia, Amit
AU - Jennewein, Douglas M.
AU - Nandigam, Viswanath
AU - Drew LaMar, M.
AU - Cleveland, Sean B.
AU - Newman, Greg
AU - Wang, Shaowen
AU - Zaslavsky, Ilya
AU - Cianfrocco, Michael A.
AU - Ellett, Kevin
AU - Tarboton, David
AU - Jeffery, Keith G.
AU - Zhao, Zhiming
AU - González-Aranda, Juan
AU - Perri, Mark J.
AU - Tucker, Greg
AU - Candela, Leonardo
AU - Kiss, Tamas
AU - Gesing, Sandra
N1 - Funding Information:
The work of Calyam was supported by NSF under Grant/Award OAC‐1730655; the work of Wilkins‐Diehr was supported by NSF under Grant/Award ACI‐1547611; the work of Miller was supported by NSF under Grant/Award ABI‐19054444, NSF under Grant/Award DBI‐1759844, and NIH under Grant/Award R01 GM126463; the work of Brookes was supported by NSF under Grant/Award CHE‐1265817, OAC‐1740097, OAC‐1912444 and NIH GM120600; the work of Arora was supported by NSF under Grant/Award OAC‐1642396; the work of Chourasia was supported by NSF under Grant/Award OAC‐1443083, ACI‐1235505; the work of Jennewein was supported by NSF under Grant/Award MRI‐1626516; the work of Nandigam was supported by NSF under Grant/Award EAR‐1557484, EAR‐1557319, EAR‐1557330; the work of LaMar was supported by NSF under Grant/Award DBI‐1346584, DUE‐1446269, DUE‐1446258, DUE‐1446284; the work of Cleveland was supported by NSF under Grant/Award ACI‐1557349; the work of Newman was supported by NSF under Grant/Award ACI‐1550463, OAC‐1835574; the work of Wang was supported by NSF under Grant/Award ACI‐1047916; the work of Zaslavsky was supported by NSF under Grant/Award ICER‐1639764, ICER‐1639775, ICER‐1639557; the work of Cianfrocco was supported by NSF under Grant/Award ABI‐1759826; the work of Ellett was supported by DOE DE‐PI0000017 via West Virginia University Research Corporation; the work of Tarboton was supported by NSF under Grant/Award ACI 1148453, ACI 1148090, OAC‐1664061, OAC‐1664018, OAC‐1664119; the work of Tucker was supported by NSF under Grant/Award EAR‐1831623, ACI‐1450409; the work of Jeffery was supported by EU H2020 676247; the work of Kiss was supported by EC H2020 826093.
Funding Information:
information National Science Foundation, OAC-1730655; NSF, ACI-1148090; ACI-1547611; EAR-1831623; EC H2020 826093; OAC-1664119; ABI-1759826; ABI-19054444; ACI-1148453; ACI-1047916; ACI-1235505; ACI-1450409; ACI-1550463; ACI-1557349; CHE-1265817; DBI-1346584; DBI-1759844; DUE-1446258; DUE-1446269; DUE-1446284; EAR-1557319; EAR-1557330; EAR-155748; EU H2020 676247; ICER-1639557; ICER-1639764; ICER-1639775; MRI-1626516; NIH-GM120600; NIH R01 GM126463; OAC-1443083; OAC-1642396; OAC-1664018; OAC-1664061; OAC-1740097; OAC-1835574; OAC-1912444; West Virginia University Research Corporation, DOE DE-PI0000017The work of Calyam was supported by NSF under Grant/Award OAC-1730655; the work of Wilkins-Diehr was supported by NSF under Grant/Award ACI-1547611; the work of Miller was supported by NSF under Grant/Award ABI-19054444, NSF under Grant/Award DBI-1759844, and NIH under Grant/Award R01 GM126463; the work of Brookes was supported by NSF under Grant/Award CHE-1265817, OAC-1740097, OAC-1912444 and NIH GM120600; the work of Arora was supported by NSF under Grant/Award OAC-1642396; the work of Chourasia was supported by NSF under Grant/Award OAC-1443083, ACI-1235505; the work of Jennewein was supported by NSF under Grant/Award MRI-1626516; the work of Nandigam was supported by NSF under Grant/Award EAR-1557484, EAR-1557319, EAR-1557330; the work of LaMar was supported by NSF under Grant/Award DBI-1346584, DUE-1446269, DUE-1446258, DUE-1446284; the work of Cleveland was supported by NSF under Grant/Award ACI-1557349; the work of Newman was supported by NSF under Grant/Award ACI-1550463, OAC-1835574; the work of Wang was supported by NSF under Grant/Award ACI-1047916; the work of Zaslavsky was supported by NSF under Grant/Award ICER-1639764, ICER-1639775, ICER-1639557; the work of Cianfrocco was supported by NSF under Grant/Award ABI-1759826; the work of Ellett was supported by DOE DE-PI0000017 via West Virginia University Research Corporation; the work of Tarboton was supported by NSF under Grant/Award ACI 1148453, ACI 1148090, OAC-1664061, OAC-1664018, OAC-1664119; the work of Tucker was supported by NSF under Grant/Award EAR-1831623, ACI-1450409; the work of Jeffery was supported by EU H2020 676247; the work of Kiss was supported by EC H2020 826093.
Funding Information:
National Science Foundation, OAC‐1730655; NSF, ACI‐1148090; ACI‐1547611; EAR‐1831623; EC H2020 826093; OAC‐1664119; ABI‐1759826; ABI‐19054444; ACI‐1148453; ACI‐1047916; ACI‐1235505; ACI‐1450409; ACI‐1550463; ACI‐1557349; CHE‐1265817; DBI‐1346584; DBI‐1759844; DUE‐1446258; DUE‐1446269; DUE‐1446284; EAR‐1557319; EAR‐1557330; EAR‐155748; EU H2020 676247; ICER‐1639557; ICER‐1639764; ICER‐1639775; MRI‐1626516; NIH‐GM120600; NIH R01 GM126463; OAC‐1443083; OAC‐1642396; OAC‐1664018; OAC‐1664061; OAC‐1740097; OAC‐1835574; OAC‐1912444; West Virginia University Research Corporation, DOE DE‐PI0000017 Funding information
Publisher Copyright:
© 2020 John Wiley & Sons, Ltd.
PY - 2021/10/10
Y1 - 2021/10/10
N2 - 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.
AB - 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.
KW - futuristic vision
KW - measuring impact
KW - science gateways
KW - success metrics
KW - virtual research environments
UR - http://www.scopus.com/inward/record.url?scp=85097076031&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097076031&partnerID=8YFLogxK
U2 - 10.1002/cpe.6099
DO - 10.1002/cpe.6099
M3 - Article
AN - SCOPUS:85097076031
SN - 1532-0626
VL - 33
JO - Concurrency and Computation: Practice and Experience
JF - Concurrency and Computation: Practice and Experience
IS - 19
M1 - e6099
ER -