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This paper aims to understand the current development situation of scientific data management policy in China, analyze the content structure of the policy and provide a theoretical basis for the improvement and optimization of the policy system.

China's scientific data management policies were obtained through various channels such as searching government websites and policy and legal database, and 209 policies were finally identified as the sample for analysis after being screened and integrated. A three-dimensional framework was constructed based on the perspective of policy tools, combining stakeholder and lifecycle theories. And the content of policy texts was coded and quantitatively analyzed according to this framework.

China's scientific data management policies can be divided into four stages according to the time sequence: infancy, preliminary exploration, comprehensive promotion and key implementation. The policies use a combination of three types of policy tools: supply-side, environmental-side and demand-side, involving multiple stakeholders and covering all stages of the lifecycle. But policy tools and their application to stakeholders and lifecycle stages are imbalanced. The development of future scientific data management policy should strengthen the balance of policy tools, promote the participation of multiple subjects and focus on the supervision of the whole lifecycle.

This paper constructs a three-dimensional analytical framework and uses content analysis to quantitatively analyze scientific data management policy texts, extending the research perspective and research content in the field of scientific data management. The study identifies policy focuses and proposes several strategies that will help optimize the scientific data management policy.

This chapter provides a thorough historical overview of policies that have governed and guided scientific research in China since 1949 and illustrates changes in scientific publications that accompanied these policy reforms and programs.

We divide this historical period into four stages, each with distinct R&D policies: (1) 1949–1955, a period of socialist transformation; (2) 1956–1965, a period of struggle for higher education and research development in a rapidly changing political environment; (3) 1966–1976, the lost decade of the Cultural Revolution; and (4) 1976–present, a period when major national policies have significantly promoted scientific research in China. We use the SPHERE project’s comprehensive historical dataset based on Thomson Reuters’ Web of Science and data from a set of research universities in China to analyze changes in scientific publication rates concurrent with these policy reforms and programs.

The analysis suggests a tight connection between national policy and scientific research productivity in higher education. The central government controlled scientific research through direct administration in early periods and has guided research activities through funding specific programs in recent decades. Due to their resource dependency on the central government, higher education institutions have been quite responsive to the common goals set by the central government. As a result, what is measured tends to be accomplished.

The chapter provides an in-depth description about the rise of higher education and science in China and produces recommendations for future development.

The emergence of climate science denialism in the United States provides a challenge to STS theories of the relationship between scientific expertise and public policy because a situation of epistemic rift occurs: the capacity of scientific consensus to establish the grounds of political debate is broken, and the standard circulation of expertise from the scientists and funding from the state is interrupted. Three mechanisms for the containment of scientific expertise are studied: direct intellectual suppression of climate scientists, industry support of contrarian scientists and policymakers, and cutbacks on government research programs that support climate change. This situation politicizes climate scientists, who are drawn into the public sphere as a counterpublic to the effort to contain the circulation of their knowledge in the political field. Although the strategy of contained expertise has been effective in blocking climate legislation at the federal government level in the United States, it may be losing effectiveness, and an emergent alternative strategy based on adaptation may be coming to replace it. Factors that affect the reduction in the capacity to contain the circulation of scientific expertise are also analyzed.

The purpose of this paper is to introduce the online information system Redalyc as an intermediary tool that provides Latin American scientific articles with international standards (mostly related to natural sciences and developed countries) as well as with specific areas to host local research.

Redalyc is based on a semantic intersection model proposed by Russian semiologist Yuri Lotman. This model allows us to visualize the role played by Redalyc as a mediator between opposites, i.e. local science versus global science, and natural sciences versus social sciences. The paper presents some of the projects Redalyc has developed in conjunction with different countries and different scientific communities.

The paper describes some characteristics that local projects, similar to Redalyc, must have in order to become an intermediary between scientific journal production indexes that link global parameters for scientific communication with local production. The paper finds that efforts should not only be centered on the development of strategies to change certain inertias that distinguish local social scientific production (e.g. dependence on literary resources, lack of recognition of periodical media), but also on the way they could help these disciplines and local media overcome certain barriers, namely: normalization, language and technological handicaps.

The recognition of Latin American scientific production implies a dual process that not only involves local policies (scientific councils), but also requires producing reliable databases to provide scientists and journal editors with global references on how to produce visible scientific literature and pertinent knowledge for their contexts. Redalyc is currently a database that contributes in both ways.

The SARS epidemic in 2003 and the COVID-19 pandemic had a disruptive impact on countries around the world and highlight the importance of using scientific evidence to inform policy decisions and priorities during crises. The purpose of this article is to reflect upon the term “following the science” and examines the differences between SARS in 2003 and COVID-19.

This study is exploratory, adopts a qualitative approach and reflects on the synthesis of scientific evidence into advice informing government decisions on health interventions. Random sampling of the literature was used to avoid bias and was guided by the keywords.

It considers preparedness activities and the need for these to be integral in the design of future planning. It argues that simulation exercises be intrinsically linked to all aspects of crisis management and provide the opportunity to use the scientific evidence base as part of preparedness planning. The article concludes that more transparency in the use of scientific advice in strategic decision-making would support building more resilience into health emergency preparedness through an integrated systems approach.

This article contributes to the literature on the evaluation of the “following the science” approach and its implementation. It also contributes to the limited literature on simulation exercising to deal with health crises, like pandemics and identifies potential areas for further research or work on developing an integrated systems approach to pandemic preparedness.

The important role played by the UK in the negotiation of the Framework Convention on Climate Change in 1992 can be explained by the support given to the Intergovernmental Panel on Climate Change, and especially to its working group on scientific assessment. Outlines the context in which this support became possible and the role and functioning of the Panel. Argues that a mature national research lobby assured that the international scientific advisory process was incorporated into both domestic environmental policy and environmental diplomacy. By ensuring that scientific assessment was indeed considered to be policy relevant by policy‐makers, attention and resources were attracted to a research area of global significance. Policy relevance was claimed on the basis of the argument that predictions of future climates and their impacts on eco‐systems, now including potential health risks to the population, are essential precautionary reasons. Suggests that this assertion needs debate. By supporting global research which is primarily concerned with predicting the behaviour of systems that include human beings as a biological species, more fundamental questions about the capacity of political systems and societies to respond to and cope with the asserted environmental threats are not addressed. If political inability to act leads mainly to support for more research, how should the research enterprise react?

This study aims to compare the techno-scientific systems of four Latin American countries: Panama and Costa Rica for Central America and Uruguay and Paraguay for South America. The overall objective is to explore their performance in terms of generation of knowledge in science and technology using the triple helix model as a framework.

The methodological approach applied was scientometric and bibliometric. The management of the techno-scientific governance in each country was analysed; input, process and output indicators were applied and a table of correlated factors was generated to determine the capabilities of each. The triple helix was used as a framework, as the study assessed the capabilities of the three actors in this model (academia, industry and government).

By studying this type of small Latin American techno-scientific worlds and the interrelationships between the three actors examined, it can be seen that there is a limited supply of certified knowledge and weak interactions between these helixes and this restricts the development of innovation initiatives.

There is little evidence of evaluations of the techno-scientific systems of peripheral countries and even less of the smaller ones. By cross-referencing governance information with indicators and generating a multi-factorial matrix, new knowledge is being generated that will contribute both to the general knowledge and to the improvement of public policy decisions in these countries.

The purpose of this paper is to analyse innovation policies in India from 1958 to 2020. A policy tools framework was developed to compare the innovation policies in India. India developed and implemented four innovation policies from 1958 to 2013. The recent policy change was brought in the year 2020 with releasing the draft of the Science, Technology and Innovation Policy (STIP 2020). The authors analysed the recent draft of STIP 2020 with the earlier four innovation policies.

Innovation policies implemented from 1958 to 2013 in India were studied and analysed in the “text as a data approach” and a comparative policy analysis tool was designed for this purpose. The recent draft of STIP 2020 was evaluated and the provisions of the fifth draft of STIP 2020 were compared with the previous four innovation policies' design and formulation. The CPA tool design consists of five broad themes Awareness and capacity building; Finance and infrastructure; Resource management and governance; Outreach and networking; and Policy implementation and evaluation.

Draft STIP 2020 has many features similar to earlier policies. However, policy has focused on bringing in more clarity about national challenges, goals and objectives, yet it needs better implementation to achieve stated outcomes more effectively and efficiently. New initiatives include strengthening the innovation system with open science, improving STI education, expanding the financial landscape, establishing national STI observatory acting as a central repository of all data related to the STI ecosystem and accountable research ecosystem, promoting translational and foundational research of global standards, promoting entrepreneurship, self-reliance, mainstream science communication and public engagement and decentralised institutional mechanisms. Thus, the STIP 2020 is ambitious in its approach to promoting STI in India and needs a supportive mechanism to achieve the stated objectives.

Current comparative policy analysis focused only on identifying similarities and differences among innovation policies implemented in India from 1958 to 2020 and its evolutionary changes in policy and its instruments choice. The recent draft STIP 2020 is not approved and has no update regarding its approval and implementation by the government. The revised and yet to implement STIP 2020 may have variances in the policy instruments. The earlier policies are so broad and without specific problem statements. They were released as statements and resolutions which makes it is challenging to understand the impact of each policy. Similar policy tools in STI 2013 and STIP 2020 were only considered to observe the policy instrument choice. The achievements of the innovation policies implemented before STIP 2020 are not included. Evolutionary changes in the problem statements and policy tools prescribed in innovation policies are studied.

Department of Science and Technology, Government of India, released a draft of STIP in 2020. The draft of STIP was evaluated with previous Innovation Policies. To the authors’ understanding, this is the first attempt to evaluate the STIPs of India using the “text as a data” approach. The tool can be validated by using it for CPA of innovation policies of other emerging, developed and least developed economies to understand cross-country variations in policy instrument choice by policymakers.

The purpose of this paper is to exhibit performance evaluation research science and technology (S&T) policy in strengthening economic growth of Chongqing. Chongqing is the only one municipality in western China, and its S&T development absolutely will affect other fields to carry on in the whole nation. This research will offer a framework of S&T policy performance evaluation for the strategic management of S&T policy in Chongqing.

This paper uses data envelopment analysis (DEA) and grey relational analysis (GRA) to measure up S&T policy performance evaluation in Chongqing based on data from 2007 to 2012.

The key finding is that only S&T policy DEA value in 2008 is invalid, and four input factors and six output factors strongly relate to S&T efficiency.

Policy makers should focus on S&T policy performance and evaluate it with the scientific method to stimulate S&T's healthy development.

The paper gives an insight into the perspectives of input–output of S&T efficiency in Chongqing and forms an evaluation system which will benefit policy formulation and implement in the future.

Scientific innovation has resulted in the development of newer technologies for the betterment of humankind. Academic and research organizations are the places where these technologies are actually ideated and/or invented. However, the process of technology transfer and its eventual successful commercialization covers many other facets, in addition to the scientific research alone. This study aims to draw attention towards certain policy gaps and thereby suggest plausible solutions for the improvement of technology transfer process in the Indian context.

Here, the authors present an extensive Web survey of technologies available for transfer/commercialization in 12 major Indian research organizations, namely, Indian Council of Agricultural Research (ICAR), Indian Council of Medical Research, Council of Scientific and Industrial Research, Defence Research and Development Organisation, Department of Atomic Energy, Department of Biotechnology, Indian Space Research Organisation, Indian Institute of Technology (IIT) Bombay, Indian Institute of Science Bangalore, IIT Delhi, IIT Kharagpur and IIT Kanpur.

A total of 2,921 technologies were found to be available with respect to the above-mentioned organizations, with the highest of these in agricultural sciences and the maximum reported by ICAR.

Certain significant policy interventions of this study include the need of a central framework for deposition, management and dissemination of institutionally developed technologies. More attention and support is required for the technologically less developed research areas, and there is a need for the promotion of funding mechanisms for the prototype development, in addition to the already available funding schemes for other stages of technology commercialization.

Hence, the successful commercialization of the innovation from the Indian research labs requires the restructuring of the existing policies to eventually facilitate the economic growth of the nation.

This study discusses the major policy gaps of the Indian technology transfer process. For this, an extensive Web survey was carried out to enlist the various technologies available for transfer and commercialization in India from 12 major research organizations. The study presents the results and some major policy implications of the technology transfer and commercialization process in the Indian context.