Ying Huang – InfoDoc MicroVeille

Authors : Lin Zhang, Yahui Wei, Ying Huang, Gunnar Sivertsen

Open Access (OA) emerged as an important transition in scholarly publishing worldwide during the past two decades. So far, this transition is increasingly based on article processing charges (APC), which create a new paywall on the researchers’ side. Publishing is part of the research process and thereby necessary to perform research.

This study analyses the global trends towards paying to perform research by combing observed trends in publishing from 2015 to 2020 with an APC price list. APC expenses have sharply increased among six countries with different OA policies: the USA, China, the UK, France, the Netherlands, and Norway.

The estimated global revenues from APC among major publishers now exceed 2 billion US dollars annually. Mergers and takeovers show that the industry is moving towards APC-based OA as the more profitable business model.

Research publishing will be closed to those who cannot make an institution or project money payment. Our results lead to a discussion of whether APC is the best way to promote OA.

URL : Should open access lead to closed research? The trends towards paying to perform research

DOI : https://doi.org/10.1007/s11192-022-04407-5

Authors : Ying Huang, Yi Zhang, Jan Youtie, Alan L. Porter, Xuefeng Wang

How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area?

This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data.

Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period.

We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields.

We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries.

URL : How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China

DOI : 10.1371/journal.pone.0154509