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Research software plays a major role in academia evident in the fast developing landscape of simulations and modeling and new evolving areas such as deep learning. Research software has been gaining increased attention in the last 5 years than ever before. Science gateways are a subgroup of research software addressing the needs for seamless end-to-end solutions so that scientists can focus on their research questions instead of becoming acquainted with details of the often complex underlying computing and data infrastructure. Providers of distributed computing infrastructures such as XSEDE report since 2013 that more users apply their resources for research via science gateways than via command line. Recognizing the importance of software and science gateways, the conceptualization of the US Research Software Sustainability Institute (URSSI) and the Science Gateways Community Institute (SGCI) that is funded since 2016, aim at addressing challenges to achieve sustainability of software and increase the usability of complex computational methods to accelerate research. A cornerstone of science is reproducibility and even though solutions such as science gateways support reproducibility of research, the current landscape needs further tools and concepts to address the reproducibility challenges. One of the goals of the project PresQT (Preservation Quality Tool) is to step into the gap to connect existing systems to achieve easier curation and preservation of data and software and thus, contribute essentially to reproducibility of research. The talk will go into detail for the research software and science gateways landscape in the US, challenges faced by projects and the actions and vision of URSSI, SGCI and PresQT.