Transparency In Research Research Articles

Reporting of scar outcomes in the hand and wrist; a state-of-the-art literature review

ObjectivesThe aim of this literature review was to synthesise and report current practice in evaluation and reporting of scar outcomes in hand and wrist clinical research.MethodsA systematic search from inception to 2022 was conducted using three electronic databases. English language randomized controlled trials and observational cohort studies reporting standardised scar outcome measures and/or scar symptoms, appearance, impairment, function, or mental health outcomes in patients with hand and wrist scars were included. Two independent reviewers determined study eligibility and performed data extraction of a priori identified scar outcome domains. Data analysis included descriptive statistics and identification of discordance in taxonomy.ResultsFifty-nine studies were included. Elective surgery cohorts were the most frequently included clinical population (n = 28; 47%) followed by burns (n = 16; 27%). Six different standardised scar outcome measures were reported by 25% of studies however only 7% of studies utilised a patient-reported measure. Scar symptoms were the most frequently reported outcome domain (81%); but taxonomy was incongruous, constructs lacked working definitions required for generalisability and outcome measurement was variable and unreported. Nineteen different measures of scar appearance and structure were reported by 30 (51%) of studies however only nine (23%) were patient-reported. Seven different hand function PROMs were reported by 25 (43%) studies. Person-centred domains including scar acceptability (12%), mental health impact (5%), and social participation (4%) were rarely reported.ConclusionsThis review highlights that evaluation and reporting of hand and wrist scar outcomes is not standardised, assessment methods and measures are under-reported and there is discordance in taxonomy. Evaluation is not person-centred, rather it is dependent on clinician assessment. Domains including scar acceptability, mental health, and social participation are rarely addressed. A stakeholder consensus derived hand and wrist scar core outcome measurement set will promote standardisation and underpin improvements in clinical research quality, transparency, and rigour.

Ethical and practical considerations related to data sharing when collecting patient-reported outcomes in care-based child health research

PurposeThe collection and use of patient reported outcomes (PROs) in care-based child health research raises challenging ethical and logistical questions. This paper offers an analysis of two questions related to PROs in child health research: (1) Is it ethically obligatory, desirable or preferable to share PRO data collected for research with children, families, and health care providers? And if so, (2) What are the characteristics of a model best suited to guide the collection, monitoring, and sharing of these data?MethodsA multidisciplinary team of researchers, providers, patient and family partners, and ethicists examined the literature and identified a need for focus on PRO sharing in pediatric care-based research. We constructed and analyzed three models for managing pediatric PRO data in care-based research, drawing on ethical principles, logistics, and opportunities to engage with children and families.ResultsWe argue that it is preferable to share pediatric PRO data with providers, but to manage expectations and balance the risks and benefits of research, this requires a justifiable data sharing model. We argue that a successful PRO data sharing model will allow children and families to have access to and control over their own PRO data and be engaged in decision-making around how PROs collected for research may be integrated into care, but require support from providers.ConclusionWe propose a PRO data sharing model that can be used across diverse research settings and contributes to improved transparency, communication, and patient-centered care and research.

Reporting guidelines used varying methodology to develop recommendations

Background and ObjectivesWe investigated the developing methods of reporting guidelines in the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network's database. MethodsIn October 2018, we screened all records and excluded those not describing reporting guidelines from further investigation. Twelve researchers performed duplicate data extraction on bibliometrics, scope, development methods, presentation, and dissemination of all publications. Descriptive statistics were used to summarize the findings. ResultsOf the 405 screened records, 262 described a reporting guidelines development. The number of reporting guidelines increased over the past 3 decades, from 5 in the 1990s and 63 in the 2000s to 157 in the 2010s. Development groups included 2–151 people. Literature appraisal was performed during the development of 56% of the reporting guidelines; 33% used surveys to gather external opinion on items to report; and 42% piloted or sought external feedback on their recommendations. Examples of good reporting for all reporting items were presented in 30% of the reporting guidelines. Eighteen percent of the reviewed publications included some level of spin. ConclusionReporting guidelines have been developed with varying methodology. Reporting guideline developers should use existing guidance and take an evidence-based approach, rather than base their recommendations on expert opinion of limited groups of individuals.

Integrating open science education into an undergraduate health professional research program.

Open science (OS) is a global movement focused on improving research equity, reproducibility, and transparency of research outputs in publicly funded research. While OS education in academia is becoming more common, examples of health sciences librarians providing OS training are not. This paper describes how a librarian collaborated with teaching faculty and a research program coordinator to integrate an OS curriculum into an undergraduate professional practice course and assess students' perceptions of OS after participating. A librarian developed an OS-specific curriculum for an undergraduate professional practice course in Nutrition. This course is part of the First Year Research Experience (FYRE) program, which is integrated into 13-week undergraduate courses to introduce students to core elements of the research process in their first year of study by carrying out a research project. The OS curriculum included an Introduction to OS class, a requirement that students share their research outputs in the Open Science Framework, and an assignment asking students to reflect on their experience learning about and practicing OS. Twenty-one of 30 students consented to having their reflection assignment undergo thematic analysis. Students indicated transparency, accountability, accessibility to research outputs, and increased efficiency as positive attributes of OS. The time commitment, fear of being scooped, and concerns over having research be misinterpreted were considered negative attributes. 90% (n=19) of students indicated that they intend to practice OS in the future. Based on strong engagement from the students, we believe that this OS curriculum could be adapted to other undergraduate or graduate student contexts where a research project is required.

Completeness of Reporting in Diet- and Nutrition-Related Randomized Controlled Trials and Systematic Reviews With Meta-Analysis: Protocol for 2 Independent Meta-Research Studies.

Journal articles describing randomized controlled trials (RCTs) and systematic reviews with meta-analysis of RCTs are not optimally reported and often miss crucial details. This poor reporting makes assessing these studies' risk of bias or reproducing their results difficult. However, the reporting quality of diet- and nutrition-related RCTs and meta-analyses has not been explored. We aimed to assess the reporting completeness and identify the main reporting limitations of diet- and nutrition-related RCTs and meta-analyses of RCTs, estimate the frequency of reproducible research practices among these RCTs, and estimate the frequency of distorted presentation or spin among these meta-analyses. Two independent meta-research studies will be conducted using articles published in PubMed-indexed journals. The first will include a sample of diet- and nutrition-related RCTs; the second will include a sample of systematic reviews with meta-analysis of diet- and nutrition-related RCTs. A validated search strategy will be used to identify RCTs of nutritional interventions and an adapted strategy to identify meta-analyses in PubMed. We will search for RCTs and meta-analyses indexed in 1 calendar year and randomly select 100 RCTs (June 2021 to June 2022) and 100 meta-analyses (July 2021 to July 2022). Two reviewers will independently screen the titles and abstracts of records yielded by the searches, then read the full texts to confirm their eligibility. The general features of these published RCTs and meta-analyses will be extracted into a research electronic data capture database (REDCap; Vanderbilt University). The completeness of reporting of each RCT will be assessed using the items in the CONSORT (Consolidated Standards of Reporting Trials), its extensions, and the TIDieR (Template for Intervention Description and Replication) statements. Information about practices that promote research transparency and reproducibility, such as the publication of protocols and statistical analysis plans will be collected. There will be an assessment of the completeness of reporting of each meta-analysis using the items in the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) statement and collection of information about spin in the abstracts and full-texts. The results will be presented as descriptive statistics in diagrams or tables. These 2 meta-research studies are registered in the Open Science Framework. The literature search for the first meta-research retrieved 20,030 records and 2182 were potentially eligible. The literature search for the second meta-research retrieved 10,918 records and 850 were potentially eligible. Among them, random samples of 100 RCTs and 100 meta-analyses were selected for data extraction. Data extraction is currently in progress, and completion is expected by the beginning of 2023. Our meta-research studies will summarize the main limitation on reporting completeness of nutrition- or diet-related RCTs and meta-analyses and provide comprehensive information regarding the particularities in the reporting of intervention studies in the nutrition field. DERR1-10.2196/43537.

In perspective: The patient at the heart of research in acute cardiovascular care.

Patient and public involvement is a fundamental part of research design and is increasingly required by research funders and regulators. In addition to the moral and ethical arguments in its favour, it has the potential to improve the accessibility and transparency of research, and to optimise study recruitment and retention. While clinical trials in acute cardiovascular care have traditionally focussed on "hard" outcomes, such as mortality or major adverse cardiovascular events, there is increasing recognition that these fail to capture the full breadth of patient experience. Patient-centred outcomes aim to measure things of greater value to patients, using validated tools to quantify symptoms, patient self-reports, or novel outcomes such as days alive and outside hospital. This In Perspective commentary explores the rationale behind patient and public involvement, the background to and evidence supporting the use of patient-centred outcomes, and discusses potential challenges and how they can be mitigated.

Supply chain transparency: theoretical perspectives for future research

PurposeThis paper lays the groundwork for future research in supply chain transparency in two ways. First, the authors delineate the construct and explore how it is shifting the business landscape. Second, the authors connect nine theories to the construct to guide future scholars in this growing research area.Design/methodology/approachThe authors explore the practical implications for the future of supply chain transparency research through the application of nine theories: stakeholder theory; the technology acceptance model; transaction cost theory; commodity theory; competing values theory; ambidexterity; the natural-resource-based view of the firm; actor-network theory and neo-institutional theory. The authors also consider the blending of theories to provide further insights into the ways firms engage in supply chain transparency.FindingsThis analysis relates theories from several disciplines (i.e. marketing, supply chain management, economics, information systems and organizational behavior) to add theoretical insights to the concept of supply chain transparency, with suggestions for using these theories in conjunction to address complex emerging issues. The authors offer guidance and direction for cross-disciplinary research to help supply chain and logistics influence other fields.Originality/valueSupply chain transparency is a boundary-spanning phenomenon swiftly proliferating multiple aspects of business. This research applies nine theoretical perspectives to guide future researchers and lays the foundation for managers looking to adopt transparency into their supply chains.

Registered report: Survey on attitudes and experiences regarding preregistration in psychological research.

Preregistration, the open science practice of specifying and registering details of a planned study prior to knowing the data, increases the transparency and reproducibility of research. Large-scale replication attempts for psychological results yielded shockingly low success rates and contributed to an increasing demand for open science practices among psychologists. However, preregistering one's studies is still not the norm in the field. Here, we conducted a study to explore possible reasons for this discrepancy. In a mixed-methods approach, we conducted an online survey assessing attitudes, motivations, and perceived obstacles with respect to preregistration. Respondents (N = 289) were psychological researchers that were recruited through their publications on Web of Science, PubMed, PSYNDEX, and PsycInfo, and preregistrations on OSF Registries. Based on the theory of planned behavior, we predicted that positive attitudes (moderated by the perceived importance of preregistration) as well as a favorable subjective norm and higher perceived behavioral control positively influence researchers' intention to preregister (directional hypothesis 1). Furthermore, we expected an influence of research experience on attitudes and perceived motivations and obstacles regarding preregistration (non-directional hypothesis 2). We analyzed these hypotheses with multiple regression models and included preregistration experience as a control variable. Researchers' attitudes, subjective norms, perceived behavioral control, and the perceived importance of preregistration significantly predicted researchers' intention to use preregistration in the future (see hypothesis 1). Research experience influenced both researchers' attitudes and their perception of motivations to preregister, but not the perception of obstacles (see hypothesis 2). Descriptive reports on researchers' attitudes, motivations and obstacles regarding preregistration are provided. Many researchers had already preregistered and had a rather positive attitude toward preregistration. Nevertheless, several obstacles were identified that may be addressed to improve and foster preregistration.

Ownership, governance, and internationalization in family firms: a replication and extension

In one of the most influential studies on family firm internationalization, Sciascia et al. (2012) advance a curvilinear relationship between family ownership and firm internationalization. We replicate their study adopting a three-step approach. First, we use the same measures on a different sample to test the generalizability of their findings. Second, we change the independent variable and hypothesize a negative relationship between family involvement in the board of directors and firm internationalization. Third, we introduce and measure the moderating role of firm age and firm size in this relationship. Our study advances the family firm internationalization literature both theoretically and methodologically. Theoretically, we show that it is not so much family ownership per se, but the influence the family obtains through board directorship that affects the family firm internationalization strategy. In addition, we show that this effect is moderated by firm age and size. Methodologically, our study is an important step forward toward increasingly transparent and replicable family business research.

The Scientific Editor: An Advocate for Transparent Research

If you were to ask a room of editors how they landed a career in scholarly publishing, you might hear a common theme: “I fell into it.” Whether by serendipity or design, a career in this field offers opportunities to do meaningful work, acquire new knowledge, and nurture a fondness of the written word. But at the same time, it’s a vast and constantly evolving ecosystem. What new or emerging opportunities exist? Scientific editing, for one! Specifics will vary depending on the journal, but in general the Scientific (also called Science or Technical) Editor’s role is to work with the handling editors to facilitate the publication of high-quality, highly citable manuscripts that are clear, consistent, and transparent. In this article, Jenna Jakubisin and Kristin Inman discuss scientific editing at their respective publications, highlighting its tremendous value to both authors and journals. Instituting a Science Editor Position: How Does Scientific Editing Benefit Journals? Radiology1 is the flagship journal of the Radiological Society of North America (RSNA), published regularly in-house since 1923. In a typical year, we receive about 3000 submissions. The scientific editor position was created in 2017, an effort spearheaded by the journal’s editor and approved by RSNA’s board of directors. The initial goals were simple but ambitious: Goal 1: Support the journal’s deputy editors. Technical edits had previously been performed by deputy editors (our busy subject matter experts). The use of a Scientific Editor allows them to focus on scientific content rather than language editing. Goal 2: Help improve […]

(Re)thinking transcription strategies: Current challenges and future research directions

Data transcription is often depicted as an essential and critical stage in qualitative research. As most researchers have experienced, it requires significant time and human resource investment. We focus on transcription strategies, a topic typically missing from the methodology discourse. We explore the biases and challenges of each of the transcription strategies. By analysing 434 academic refereed papers from top journals, we underline the lack of scrutiny over the transcription process, its impact, and strategies taken to conduct it. We also interviewed some of the authors to better understand the challenges associated with transcription. This paper aims at contributing to more reflexivity on the existing strategies regarding transcription and how to increase transparency in qualitative research.

An Overview of Artificial Intelligence Ethics: Issues and Solution for Challenges in Different Fields

Artificial Intelligence (AI) ethics are the values and principles that govern the creation and application of AI. As AI technology develops quickly, there is rising worry about the possible ethical ramifications of its application, including concerns about privacy, bias, accountability, transparency, safety, and the effect on society as a whole. Making sure AI systems are created and used in a way that respects human rights and values is one of the main concerns of AI ethics. For instance, there can be worries about the use of AI in surveillance or the possibility that these technologies will legitimise already-existing social prejudices and discrimination. Making sure AI systems are accountable and transparent is a key aspect of AI ethics. It can be challenging to comprehend how AI systems make judgements and who is accountable for those decisions as they get more complicated and autonomous. Transparency in AI research and decision-making, as well as systems for accountability and remedies when things go wrong, are becoming increasingly important. Additionally, it's important to guarantee the security and safety of AI systems. Concern over the possibility of cyberattacks and other types of harmful use is growing as AI systems become more linked and incorporated into our daily lives. Finally, it's important to make sure that AI is created and applied in a way that benefits all humanity. This entails tackling problems like employment loss, economic inequality, and the possibility that AI will be applied in ways that are detrimental to society. There is an increasing need for cooperation between business, government, academia, and civil society to address these and other ethical issues. This involves creating moral standards, norms, and best practises as well as the systems necessary to guarantee responsibility and compliance.

“Ideology and simultaneously more than mere ideology”: On Habermas’ reflections and hypotheses on a further structural transformation of the political public sphere

“Ideology and simultaneously more than mere ideology”: On Habermas’ reflections and hypotheses on a further structural transformation of the political public sphere

A Novel Process to Recruit and Select Community Partners for a Hybrid Implementation-Effectiveness Study.

Creating strong partnerships with community organizations is essential to test implementation of evidence-based interventions. However, partners are often chosen based on convenience rather than capacity or diversity. Streamlined processes are needed to identify qualified, diverse, and invested partners to conduct community-based research. There is a gap in the literature on effective and efficient processes for recruiting partners. This paper aims to fill that gap by describing a novel approach for identifying a diverse group of community organizations to participate in research. We used a Request for Partners (RFP) approach to recruit partners to participate in a hybrid implementation-effectiveness study of the Veggie Van mobile market model. The process included formative work to inform RFP development, creation of an external advisory committee, an intent-to-apply round, a full application round, and an inperson training and selection process. Data was collected to characterize applicant size, location, and experience; pre-post surveys were conducted to understand the training's utility. We received 59 intent-to-apply submissions and invited 28 organizations to apply: 17 submitted applications and 12 organizations were chosen as finalists. The process took approximately 8 months to recruit 9 organizations and 32 community sites across 5 states and increased understanding of the intervention and partner responsibilities. An RFP process is familiar to many community organizations that compete for grant funding but may not have prior research experience. This process streamlined recruitment timelines, increased diversity, and cultivated community among organizations. It may also improve research transparency, study completion, and intervention fidelity.

The bias for statistical significance in sport and exercise medicine.

We aimed to examine the bias for statistical significance using published confidence intervals in sport and exercise medicine research. Observational study. The abstracts of 48,390 articles, published in 18 sports and exercise medicine journals between 2002 and 2022, were searched using a validated text-mining algorithm that identified and extracted ratio confidence intervals (odds, hazard, and risk ratios). The algorithm identified 1744 abstracts that included ratio confidence intervals, from which 4484 intervals were extracted. After excluding ineligible intervals, the analysis used 3819 intervals, reported as 95 % confidence intervals, from 1599 articles. The cumulative distributions of lower and upper confidence limits were plotted to identify any abnormal patterns, particularly around a ratio of 1 (the null hypothesis). The distributions were compared to those from unbiased reference data, which was not subjected to p-hacking or publication bias. A bias for statistical significance was further investigated using a histogram plot of z-values calculated from the extracted 95 % confidence intervals. There was a marked change in the cumulative distribution of lower and upper bound intervals just over and just under a ratio of 1. The bias for statistical significance was also clear in a stark under-representation of z-values between -1.96 and +1.96, corresponding to p-values above 0.05. There was an excess of published research with statistically significant results just below the standard significance threshold of 0.05, which is indicative of publication bias. Transparent research practices, including the use of registered reports, are needed to reduce the bias in published research.

Addressing the Environmental Impact of Science Through a More Rigorous, Reproducible, and Sustainable Conduct of Research.

The pervasiveness of irreproducible research remains a thorny problem for the progress of scientific endeavor, spawning an abundance of opinion, investigation, and proposals for improvement. Irreproducible research has negative consequences beyond the obvious impact on achieving new scientific discoveries that can advance healthcare and enable new technologies. The conduct of science is resource intensive, resulting in a large environmental impact from even the smallest research programs. There is value in making explicit connections between the conduct of more rigorous, reproducible science and commitments to environmental sustainability. Shared research resources (also commonly known as cores) often have an institutional role in supporting researchers in the responsible conduct of research through training, informal mentorship, and services and are particularly well suited to promulgating essential principles of scientific rigor, reproducibility, and transparency. Shared research resources can also play a role in advancing sustainability by virtue of their inherently efficient science model in which singular shared equipment, technology, and expertise resources can serve many different research programs. Programs that elevate shared research resources, scientific rigor, reproducibility, transparency, and environment sustainability in harmony may achieve a unique synergy. Several case studies and quality paradigms are discussed that offer tools and concepts that can be adapted whole or in part by individual shared research resources or research-intensive institutions as part of an overall program of sustainability.

Prespecification of Structure for the Optimization of Data Collection and Analysis

Data collection and research methodology represents a critical part of the research pipeline. On the one hand, it is important that we collect data in a way that maximises the validity of what we are measuring, which may involve the use of long scales with many items. On the other hand, collecting a large number of items across multiple scales results in participant fatigue, and expensive and time consuming data collection. It is therefore important that we use the available resources optimally. In this work, we consider how the representation of a theory as a causal/structural model can help us to streamline data collection and analysis procedures by not wasting time collecting data for variables which are not causally critical for answering the research question. This not only saves time and enables us to redirect resources to attend to other variables which are more important, but also increases research transparency and the reliability of theory testing. To achieve this, we leverage structural models and the Markov conditional independency structures implicit in these models, to identify the substructures which are critical for a particular research question. To demonstrate the benefits of this streamlining we review the relevant concepts and present a number of didactic examples, including a real-world example.

A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research

ObjectivesTo investigate scientific collaboration and citation metrics of reporting guidelines for health research. Study Design and SettingA cross-sectional analysis of published articles of reporting guidelines for health research. A search of the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network Library (from inception to January 21, 2021) was supplemented by searching websites of guideline developers. For each article, metadata (e.g., authors, institutions, countries, citations) were extracted from the Web of Science and Scopus (up to October 25, 2021). Descriptive analyses were conducted. Network analyses of collaborations were presented. ResultsWe included 662 articles published in 332 journals. The BMJ (n = 50 articles; 8%), Annals of Internal Medicine (n = 29; 4%), and Journal of Clinical Epidemiology (n = 24; 4%) published the largest number of articles. Four thousand seven hundred twenty two authors, 1,647 institutions, and 83 countries were involved. The global productivity was led by the United States (n = 456 articles), the United Kingdom (n = 414), and Canada (n = 306). We found eight clusters of authors (e.g., one major group with 337 members) and three clusters of institutions (e.g., one major group with 256 members). The most prolific authors were affiliated with the Ottawa Hospital Research Institute (Canada), the University of Ottawa (Canada), the University of Oxford (the United Kingdom), and Stanford University (the United States). ConclusionOur analysis identified key actors producing reporting guidelines, most intense collaborations, and ‘citation classics’ in the field. These results could potentially be used to strengthen collaborations for developing and disseminating reporting guidelines for health research.

Trackintel: An open-source Python library for human mobility analysis

Over the past decade, scientific studies have used the growing availability of large tracking datasets to enhance our understanding of human mobility behavior. However, so far data processing pipelines for the varying data collection methods are not standardized and consequently limit the reproducibility, comparability, and transferability of methods and results in quantitative human mobility analysis. This paper presents Trackintel, an open-source Python library for human mobility analysis. Trackintel is built on a standard data model for human mobility used in transport planning that is compatible with different types of tracking data. We introduce the main functionalities of the library that covers the full life-cycle of human mobility analysis, including processing steps according to the conceptual data model, read and write interfaces, as well as analysis functions (e.g., data quality assessment, travel mode prediction, and location labeling). We showcase the effectiveness of the Trackintel library through a case study with four different tracking datasets. Trackintel can serve as an essential tool to standardize mobility data analysis and increase the transparency and comparability of novel research on human mobility. The library is available open-source at https://github.com/mie-lab/trackintel.

Three steps to open science for qualitative research in psychology

AbstractPrinciples and applications of open science (also referred to as open research or open scholarship) in psychology have emerged in response to growing concerns about the replicability, transparency, reproducibility, and robustness of psychological research alongside global moves to open science in many fields. Our objective in this paper is to inform ways of collectively constructing open science practices and systems that are appropriate to, and get the best out of, the full range of qualitative and mixed‐method approaches used in psychology. We achieve this by describing three areas of open research practice (contributorship, pre‐registration, and open data) and explore how and why qualitative researchers might consider engaging with these in ways that are compatible with a qualitative research paradigm. We argue it is crucial that open research practices do not (even inadvertently) exclude qualitative research, and that qualitative researchers reflect on how we can meaningfully engage with open science in psychology.