The UK has a long-established reputation for excellence in research across a broad range of fields, but in recent years, there has been greater emphasis on STEM investment and greater recognition of the UK's success in STEM. This paper examines the relative strengths of SHAPE disciplines and demonstrates that the UK's SHAPE research portfolio outperforms the UK's STEM research, for each international benchmark considered in this work. It is argued that SHAPE research is becoming increasingly important as a partner to STEM as the widespread use of technology creates societal challenges. It is also argued that the strength of UK SHAPE is the basis of a strategic advantage for UK research.

Bibliographic data is a rich source of information that goes beyond the use cases of location and citation -- it also encodes both cultural and technological context. For most of its existence, the scholarly record has changed slowly and hence provides an opportunity to gain insight through its reflection of the cultural norms of the research community over the last four centuries. While it is often difficult to distinguish the originating driver of change, it is still valuable to consider the motivating influences that have led to changes in the structure of the scholarly record. An ``initial era'' is identified during which initials were used in preference to full names by authors on scholarly communications. Causes of the emergence and demise of this era are considered as well as the implications of this era on research culture and practice.

Schrodinger's equation is a local differential equation and boundary conditions are required to determine the solution uniquely. Depending on the choice of boundary conditions, a given Hamiltonian may describe several different physically observable phases, each exhibiting its own characteristic global symmetry.

Peer review is an important part of the scientific process, but traditional peer review at journals is coming under increased scrutiny for its inefficiency and lack of transparency. As preprints become more widely used and accepted, they raise the possibility of rethinking the peer-review process. Preprints are enabling new forms of peer review that have the potential to be more thorough, inclusive, and collegial than traditional journal peer review, and to thus fundamentally shift the culture of peer review toward constructive collaboration. In this Consensus View, we make a call to action to stakeholders in the community to accelerate the growing momentum of preprint sharing and provide recommendations to empower researchers to provide open and constructive peer review for preprints.

The global research community responded with speed and at scale to the emergence of COVID-19, with around 4.6% of all research outputs in 2020 related to the pandemic. That share almost doubled through 2021, to reach 8.6% of research outputs. This reflects a dramatic mobilisation of global collective intelligence in the face of a crisis. It also raises fundamental questions about the funding, organisation and operation of research. In this Perspective article, we present data that suggests that COVID-19 research reflects the characteristics of the underlying networks from which it emerged, and on which it built. The infrastructures on which COVID-19 research has relied – including highly skilled, flexible research capacity and collaborative networks – predated the pandemic, and are the product of sustained, long-term investment. As such, we argue that COVID-19 research should not be viewed as a distinct field, or one-off response to a specific crisis, but as a ‘pandemic veneer’ layered on top of longstanding interdisciplinary networks, capabilities and structures. These infrastructures of collective intelligence need to be better understood, valued and sustained as crucial elements of future pandemic or crisis response.

It is clear that we are entering a new phase of technological growth: Not an industrial revolution of the type that we have seen before but an exponential revolution awaits with all the challenges and wonders that entails. An abundance of data coupled with sophisticated tools for both capturing and analysing data has transformed research over the last half century. And yet, scholarly communication is still reliant on 17th Century technology. In this seminar we examine why this is the case and what the future of scholarly communication could look like.

Preprints enable new forms of peer review that have the potential to be more thorough, inclusive, and collegial. In December 2022, 80 researchers and representatives of funders, institutions, preprint servers, journals, indexers, and review services were invited to gather online and at the Janelia Research Campus for a workshop on Recognizing Preprint Peer Review. Sponsored by HHMI, ASAPbio, and EMBO, this meeting aimed to catalyze community consensus and support for preprint peer review and to create model funder, institutional, and journal policies that recognize both preprints with reviews, and reviews of preprints. Here, we make a call to action to stakeholders in the community to help capture the growing momentum of preprint sharing and empower researchers to provide open and constructive peer review for preprints.

Abstract In 2020 the Australia New Zealand Standard Research Classification Fields of Research Codes (ANZSRC FoR codes) were updated by their owners. This has led the sector to need to update their systems of reference and has caused suppliers working in the research information sphere to need to update both systems and data. This paper focuses on the approach developed by Digital Science’s Dimensions team to the creation of an improved machine-learning training set, and the mapping of that set from FoR 2008 codes to FoR 2020 codes so that the Dimensions classification approach for the ANZSRC codes could be improved and updated.

Modern cloud-based data infrastructures open new vistas for the deployment of scientometric data into the hands of practitioners. These infrastructures lower barriers to entry by making data more available and compute capacity more affordable. In addition, if data are prepared appropriately, with unique identifiers, it is possible to connect many different types of data. Bringing broader world data into the hands of practitioners (policymakers, strategists, and others) who use scientometrics as a tool can extend their capabilities. These ideas are explored through connecting Dimensions and World Bank data on Google BigQuery to study international collaboration between countries of different economic classification.

EDITORIAL article Front. Res. Metr. Anal., 01 June 2022Sec. Scholarly Communication https://doi.org/10.3389/frma.2022.925500

Dimensions was built as a platform to allow stakeholders in the research community, including academic bibliometricians, to more easily create and understand the context of different types of research object through the linkages between these objects. Links between objects are created via persistent identifiers and machine learning techniques, while additional context is introduced via data enhancements such as per-object categorisations and person and institution disambiguation. While these features make analytical use cases accessible for end users, the COVID-19 crisis has highlighted a different set of needs to analyze trends in scholarship as they occur: Real-time bibliometrics. The combination of full-text search, daily data updates, a broad set of scholarly objects including pre-prints and a wider set of data fields for analysis, broadens opportunities for a different style of analysis. A subset of these emerging capabilities is discussed and three basic analyses are presented as illustrations of the potential for real-time bibliometrics.

Cloud computing has the capacity to transform many parts of the research ecosystem, from particular research areas to overall strategic decision making and policy. Scientometrics sits at the boundary between research and the decision-making, policy-making, and evaluation processes that underpin research. One of the biggest challenges in research policy and strategy is having access to data in a way that allows for analysis that can respond in an iterative way to inform decisions. Many decisions are based on “global” measures such as benchmark metrics that are hard to source and hence are often nonspecific or outdated. The use of cloud technologies may be promising in addressing this area of providing data for research strategy and policy decisions. A novel visualisation technique is introduced and used as a means to explore the potential for scaling scientometrics by democratising both access to data and compute capacity using the cloud.

This paper reports the results of an ongoing in-depth analysis of the classical trajectories of the class of non-Hermitian PT-symmetric Hamiltonians H=p^2+ x^2(ix)^ε (ε≥0). A variety of phenomena, heretofore overlooked, have been discovered such as the existence of infinitely many separatrix trajectories, sequences of critical initial values associated with limiting classical orbits, regions of broken PT-symmetric classical trajectories, and a remarkable topological transition at ε=2. This investigation is a work in progress and it is not complete; many features of complex trajectories are still under study.

This report highlights the growth in research around the UN’s Sustainable Development Goals (SDGs). We believe the SDGs are now more relevant than ever, for they provide a framework for recovery from the current pandemic.In the report we ask, if we are to have an impact agenda for research, should it not be one that is informed by the SDGs? And if so, should we not be actively measuring sustainable development as part of research evaluation?

The research world has moved faster than many would have suspected possible in response to the COVID-19 pandemic. In five months, a volume of work has been generated that even the most intensive of emergent fields have taken years to create.In our new report, How COVID-19 is Changing Research Culture, we investigate the research landscape trends and cultural changes in response to COVID-19. The report includes analysis of publication trends, geographic focal points of research, and collaboration patterns.VIEW KEY FINDINGS IN OUR BLOG POST:https://www.digital-science.com/blog/news/new-digital-science-report-how-covid-19-is-changing-research-culture/