Community Forum on the 2022 OSTP Public Access Policy Guidance [presentation slides]

Included: ● Public access background and context ● Summary of the 2022 OSTP Memorandum ● Clarification about the scope of the 2022 OSTP Memorandum ● Timeline for agency adoption of the 2022 OSTP Memorandum ● Agency perspectives: National Aeronautics and Space Administration (NASA), National Institutes of Health (NIH), and Institute of Museum and Library Services (IMLS) ● Questions and answer

Memorandum for the Heads of Executive Departments and Agencies, August 25, 2022: Ensuring Free, Immediate, and Equitable Access to Federally Funded Research

This memorandum provides policy guidance to federal agencies with research and development expenditures on updating their public access policies. In accordance with this memorandum, OSTP recommends that federal agencies, to the extent consistent with applicable law: 1. Update their public access policies as soon as possible, and no later than December 31, 2025, to make publications and their supporting data resulting from federally funded research publicly accessible without an embargo on their free and public release; 2. Establish transparent procedures that ensure scientific and research integrity is maintained in public access policies; and, 3. Coordinate with OSTP to ensure equitable delivery of federally funded research results and data. Includes background and policy principles, lessons learned from COVID-19, updates to policy guidance on increasing equitable access to Federally funded research results including peer-reviewed scholarly publications and scientific data, ensuring scientific and research integrity in agency public access policies, public access plan coordination among federal agencies, general provisions, and taking next steps together

Frequently Asked Questions: 2022 Public Access Policy Guidance

Includes a list of frequently asked questions and answers for the 2022 White House Office of Science and Technology Policy (OSTP) Public Access Policy guidance, including answering questions such as What is meant by public access to federally funded research? and What impact will the policy guidance have on specific business models for scholarly publishing

Climate Change: State of Knowledge

This brief report describes that the Earth's climate is predicted to change because human activities are altering the chemical composition of the atmosphere. The buildup of greenhouse gases-primarily carbon dioxide, methane, nitrous oxide and chlorofluorocarbons-is changing the radiation balance of the planet. The basic heat-trapping property of these greenhouse gases is essentially undisputed. However, there is considerable scientific uncertainty about exactly how and when the Earth's climate will respond to enhanced greenhouse gases. The direct effects of climate change will include changes in temperature, precipitation, soil moisture, and sea level. Such changes could have adverse effects on ecological systems, human health, and socio-economic sectors

How Does Citizen Science "Do" Governance? Reflections from the DITOs Project

Citizen science (CS) is increasingly becoming a focal point for public policy to provide data for decision-making and to widen access to science. Yet beyond these two understandings, CS engages with political processes in a number of other ways. To develop a more nuanced understanding of governance in relation to CS, this paper brings together theoretical analysis by social science researchers and reflections from CS practice. It draws on concepts from Science and Technology Studies and political sciences as well as examples from the "Doing-It-Together Science" (DITOs) project. The paper develops a heuristic of how CS feeds into, is affected by, forms part of, and exercises governance. These four governance modes are (1) Source of information for policy-making, (2) object of research policy, (3) policy instrument, and (4) socio-technical governance. Our analysis suggests that these four dimensions represent different conceptions of how science and technology governance takes place that have not yet been articulated in the CS literature. By reflecting on the DITOs project, the paper shows how this heuristic can enrich CS. Benefits include project organisers better communicating their work and impacts. In its conclusion, the paper argues that focusing on the complexity of governance relations opens up new ways of doing CS regarding engagement methodologies and evaluation. The paper recommends foregrounding the broad range of governance impacts of CS and reflecting on them in cooperation between researchers and practitioners

Type III Secretion Is Essential for the Rapidly Fatal Diarrheal Disease Caused by Non-O1, Non-O139 Vibrio cholerae

Cholera is a severe diarrheal disease typically caused by O1 serogroup strains of Vibrio cholerae. The pathogenicity of all pandemic V. cholerae O1 strains relies on two critical virulence factors: cholera toxin, a potent enterotoxin, and toxin coregulated pilus (TCP), an intestinal colonization factor. However, certain non-O1, non-O139 V. cholerae strains, such as AM-19226, do not produce cholera toxin or TCP, yet they still cause severe diarrhea. The molecular basis for the pathogenicity of non-O1, non-O139 V. cholerae has not been extensively characterized, but many of these strains encode related type III secretion systems (TTSSs). Here, we used infant rabbits to assess the contribution of the TTSS to non-O1, non-O139 V. cholerae pathogenicity. We found that all animals infected with wild-type AM-19226 developed severe diarrhea even more rapidly than rabbits infected with V. cholerae O1. Unlike V. cholerae O1 strains, which do not damage the intestinal epithelium in rabbits or humans, AM-19226 caused marked disruptions of the epithelial surface in the rabbit small intestine. TTSS proved to be essential for AM-19226 virulence in infant rabbits; an AM-19226 derivative deficient for TTSS did not elicit diarrhea, colonize the intestine, or induce pathological changes in the intestine. Deletion of either one of the two previously identified or two newly identified AM-19226 TTSS effectors reduced but did not eliminate AM-19226 pathogenicity, suggesting that at least four effectors contribute to this strain’s virulence. In aggregate, our results suggest that the TTSS-dependent virulence in non-O1, non-O139 V. cholerae represents a new type of diarrheagenic mechanism

Content-based and Algorithmic Classifications of Journals: Perspectives on the Dynamics of Scientific Communication and Indexer Effects

The aggregated journal-journal citation matrix -based on the Journal Citation Reports (JCR) of the Science Citation Index- can be decomposed by indexers and/or algorithmically. In this study, we test the results of two recently available algorithms for the decomposition of large matrices against two content-based classifications of journals: the ISI Subject Categories and the field/subfield classification of Glaenzel & Schubert (2003). The content-based schemes allow for the attribution of more than a single category to a journal, whereas the algorithms maximize the ratio of within-category citations over between-category citations in the aggregated category-category citation matrix. By adding categories, indexers generate between-category citations, which may enrich the database, for example, in the case of inter-disciplinary developments. The consequent indexer effects are significant in sparse areas of the matrix more than in denser ones. Algorithmic decompositions, on the other hand, are more heavily skewed towards a relatively small number of categories, while this is deliberately counter-acted upon in the case of content-based classifications. Because of the indexer effects, science policy studies and the sociology of science should be careful when using content-based classifications, which are made for bibliographic disclosure, and not for the purpose of analyzing latent structures in scientific communications. Despite the large differences among them, the four classification schemes enable us to generate surprisingly similar maps of science at the global level. Erroneous classifications are cancelled as noise at the aggregate level, but may disturb the evaluation locally

Measuring student attitude and knowledge in technology-rich biology classrooms

The use of technology in schools is now ubiquitous, but the effectiveness on the learning environment has mixed results. This paper describes the development and validation of an instrument to measure students’ attitudes toward and knowledge of technology with the aim of investigating any differences based on gender after a course where the science department made use of technology as an integral part of teaching biology. In this study, conducted in one school in the state of New York, in the United States of America, the Students’ Attitudes Toward and Knowledge of Technology Questionnaire was administered to nearly 700 high school science students. A principal component and principal factor analysis resulted in new scales from the validation of the instrument that demonstrated high reliabilities. There were statistically significant gender differences in all the scales of the questionnaire in favor of males

Critical analysis of Big Data Challenges and analytical methods

Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making process, have recently attracted substantial interest from both academics and practitioners. Big Data Analytics (BDA) is increasingly becoming a trending practice that many organizations are adopting with the purpose of constructing valuable information from BD. The analytics process, including the deployment and use of BDA tools, is seen by organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue streams and gain competitive advantages over business rivals. However, there are different types of analytic applications to consider. Therefore, prior to hasty use and buying costly BD tools, there is a need for organizations to first understand the BDA landscape. Given the significant nature of the BD and BDA, this paper presents a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions. In doing so, systematically analysing and synthesizing the extant research published on BD and BDA area. More specifically, the authors seek to answer the following two principal questions: Q1 – What are the different types of BD challenges theorized/proposed/confronted by organizations? and Q2 – What are the different types of BDA methods theorized/proposed/employed to overcome BD challenges?. This systematic literature review (SLR) is carried out through observing and understanding the past trends and extant patterns/themes in the BDA research area, evaluating contributions, summarizing knowledge, thereby identifying limitations, implications and potential further research avenues to support the academic community in exploring research themes/patterns. Thus, to trace the implementation of BD strategies, a profiling method is employed to analyze articles (published in English-speaking peer-reviewed journals between 1996 and 2015) extracted from the Scopus database. The analysis presented in this paper has identified relevant BD research studies that have contributed both conceptually and empirically to the expansion and accrual of intellectual wealth to the BDA in technology and organizational resource management discipline