scholarly journals Open Science and Multicultural Research: Some Data, Considerations, and Recommendations

2021 ◽  
Author(s):  
P. Priscilla Lui ◽  
Sarah Gobrial ◽  
Savannah Pham ◽  
Niki Adams ◽  
Westley Giadolor ◽  
...  
Keyword(s):  
Data Sharing ◽  
Underserved Populations ◽  
Open Science ◽  
Scientific Quality ◽  
Culturally Competent ◽  
Useful Knowledge ◽  
Psychological Understanding ◽  
Psychological Science ◽  
Potential Impact ◽  
Multicultural Research

Objectives: There are two potentially useful but nonintersecting efforts to ensure that psychological science is valid and credible, and helps understand the diversity of human experiences. Whereas American ethnic minority psychology/cultural diversity (EM/D) research focuses on culturally competent, contextual psychological understanding of understudied and underserved populations, current open science (OS) approaches emphasize material and data sharing, and statistical proficiency to maximize replicability of mainstream findings. Three studies illuminated the extent and reasons for this bifurcation, and OS’s potential impact on EM/D research. Methods and Results: In Study 1, we reviewed the editorial/publishing policies and articles appearing in four major EM/D journals on the degrees of support for and use of OS. Journals varied in policies; 32 of 823 empirical articles incorporated any OS practices. Study 2 was a national mixed methods survey of EM/D researchers’ (N=141) and journal editors’ (N=15) views about and use of OS practices. Editors were more familiar with and accepting of OS practices than researchers. Themes emerged about the perceived impact of OS on scientific quality, possible professional disadvantages for EM/D researchers, and concerns about the welfare of and ethical risks posed for participants of color. In Study 3, we explored research participants’ beliefs about data sharing and the credibility of science/scientists (N=1,104). Participants reported accepting attitudes toward OS-recommended data sharing, and favorable views about psychological science. Conclusions: We provide data-driven recommendations for all researchers to assemble the best tools for engaging in culturally competent and transparent research and in generating valid and useful knowledge.

Introduction to the special section on Increasing Replicability, Transparency, and Openness in Clinical Psychology

2019 ◽  
Author(s):  
Jennifer L Tackett ◽  
Josh Miller
Keyword(s):  
Empirical Evidence ◽  
Data Sharing ◽  
Clinical Psychology ◽  
Special Section ◽  
Psychological Research ◽  
Open Science ◽  
Clinical Psychologists ◽  
Existing Problems

As psychological research comes under increasing fire for the crisis of replicability, attention has turned to methods and practices that facilitate (or hinder) a more replicable and veridical body of empirical evidence. These trends have focused on “open science” initiatives, including an emphasis on replication, transparency, and data sharing. Despite this broader movement in psychology, clinical psychologists and psychiatrists have been largely absent from the broader conversation on documenting the extent of existing problems as well as generating solutions to problematic methods and practices in our area (Tackett et al., 2017). The goal of the current special section was to bring together psychopathology researchers to explore these and related areas as they pertain to the types of research conducted in clinical psychology and allied disciplines.

scholarly journals Tutkimusaineiston avoin jakaminen – tutkimusorganisaatioiden jäsenten käsityksiä, kokemuksia ja mielipiteitä

2018 ◽  
Vol 37 (4) ◽  
Author(s):  
Heidi Enwald
Keyword(s):  
Data Sharing ◽  
Data Storage ◽  
Online Survey ◽  
Open Science ◽  
Research Data ◽  
Research Field ◽  
Open Research ◽  
Research Organizations ◽  
Data Collection Instrument ◽  
In The Beginning

Open research data is data that is free to access, reuse, and redistribute. This study focuses on the perceptions, opinions and experiences of staff and researchers of research institutes on topics related to open research data. Furthermore, the differences across gender, role in the research organization and research field were investigated. An international questionnaire survey, translated into Finnish and Swedish, was used as the data collection instrument. An online survey was distributed through an open science related network to Finnish research organizations. In the end, 469 responded to all 24 questions of the survey. Findings indicate that many are still unaware or uncertain about issues related to data sharing and long-term data storage. Women as well as staff and researchers of medical and health sciences were most concerned about the possible problems associated with data sharing. Those in the beginning of their scientific careers, hesitated about sharing their data.

scholarly journals Maximizing the Reproducibility of Your Research

2016 ◽  
Author(s):  
Frank Bosco ◽  
Joshua Carp ◽  
James G. Field ◽  
Hans IJzerman ◽  
Melissa Lewis ◽  
...  
Keyword(s):  
New York ◽  
Open Science ◽  
Psychological Science ◽  
Science Collaboration

Open Science Collaboration (in press). Maximizing the reproducibility of your research. In S. O. Lilienfeld & I. D. Waldman (Eds.), Psychological Science Under Scrutiny: Recent Challenges and Proposed Solutions. New York, NY: Wiley.

scholarly journals Announcing the Journal of the Medical Library Association’s data sharing policy

2019 ◽  
Vol 107 (4) ◽  
Author(s):  
Katherine G. Akers ◽  
Kevin B. Read ◽  
Liz Amos ◽  
Lisa M. Federer ◽  
Ayaba Logan ◽  
...  
Keyword(s):  
Open Access ◽  
Data Sharing ◽  
Open Science ◽  
Data Reuse ◽  
Medical Library ◽  
Firm Data ◽  
Published Research

As librarians are generally advocates of open access and data sharing, it is a bit surprising that peer-reviewed journals in the field of librarianship have been slow to adopt data sharing policies. Starting October 1, 2019, the Journal of the Medical Library Association (JMLA) is taking a step forward and implementing a firm data sharing policy to increase the rigor and reproducibility of published research, enable data reuse, and promote open science. This editorial explains the data sharing policy, describes how compliance with the policy will fit into the journal’s workflow, and provides further guidance for preparing for data sharing.

scholarly journals The Evolution of Data Sharing Practices in the Psychological Literature

2021 ◽  
Author(s):  
Judith Neve ◽  
Guillaume A Rousselet
Keyword(s):  
Data Sharing ◽  
Linear Models ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Future Research ◽  
Science Data ◽  
Editorial Policies ◽  
Psychological Science ◽  
The Impact

Sharing data has many benefits. However, data sharing rates remain low, for the most part well below 50%. A variety of interventions encouraging data sharing have been proposed. We focus here on editorial policies. Kidwell et al. (2016) assessed the impact of the introduction of badges in Psychological Science; Hardwicke et al. (2018) assessed the impact of Cognition’s mandatory data sharing policy. Both studies found policies to improve data sharing practices, but only assessed the impact of the policy for up to 25 months after its implementation. We examined the effect of these policies over a longer term by reusing their data and collecting a follow-up sample including articles published up until December 31st, 2019. We fit generalized additive models as these allow for a flexible assessment of the effect of time, in particular to identify non-linear changes in the trend. These models were compared to generalized linear models to examine whether the non-linearity is needed. Descriptive results and the outputs from generalized additive and linear models were coherent with previous findings: following the policies in Cognition and Psychological Science, data sharing statement rates increased immediately and continued to increase beyond the timeframes examined previously, until reaching close to 100%. In Clinical Psychological Science, data sharing statement rates started to increase only two years following the implementation of badges. Reusability rates jumped from close to 0% to around 50% but did not show changes within the pre-policy nor the post-policy timeframes. Journals that did not implement a policy showed no change in data sharing rates or reusability over time. There was variability across journals in the levels of increase, so we suggest future research should examine a larger number of policies to draw conclusions about their efficacy. We also encourage future research to investigate the barriers to data sharing specific to psychology subfields to identify the best interventions to tackle them.

Open Science Promotes Diverse, Just, and Sustainable Research and Educational Outcomes

2019 ◽  
Vol 19 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Jon E Grahe ◽  
Kelly Cuccolo ◽  
Dana C Leighton ◽  
Leslie D Cramblet Alvarez
Keyword(s):  
Educational Outcomes ◽  
Open Science ◽  
Organizational Systems ◽  
Research Projects ◽  
Equitable Distribution ◽  
The Past ◽  
Psychological Science ◽  
Collaborative Efforts

Open science initiatives, which are often collaborative efforts focused on making research more transparent, have experienced increasing popularity in the past decade. Open science principles of openness and transparency provide opportunities to advance diversity, justice, and sustainability by promoting diverse, just, and sustainable outcomes among both undergraduate and senior researchers. We review models that demonstrate the importance of greater diversity, justice, and sustainability in psychological science before describing how open science initiatives promote these values. Open science initiatives also promote diversity, justice, and sustainability through increased levels of inclusion and access, equitable distribution of opportunities and dissemination of knowledge, and increased sustainability stemming from increased generalizability. In order to provide an application of the concepts discussed, we offer a set of diversity, justice, and sustainability lens questions for individuals to use while assessing research projects and other organizational systems and consider concrete classroom applications for these initiatives.

scholarly journals Open-access policy and data-sharing practice in UK academia

2019 ◽  
Vol 46 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Yimei Zhu
Keyword(s):  
Open Access ◽  
Data Sharing ◽  
Secondary Data ◽  
Open Science ◽  
Research Data ◽  
Academic Disciplines ◽  
Free Access ◽  
Online Publishing ◽  
Institutional Repositories ◽  
Access To Data

Data sharing can be defined as the release of research data that can be used by others. With the recent open-science movement, there has been a call for free access to data, tools and methods in academia. In recent years, subject-based and institutional repositories and data centres have emerged along with online publishing. Many scientific records, including published articles and data, have been made available via new platforms. In the United Kingdom, most major research funders had a data policy and require researchers to include a ‘data-sharing plan’ when applying for funding. However, there are a number of barriers to the full-scale adoption of data sharing. Those barriers are not only technical, but also psychological and social. A survey was conducted with over 1800 UK-based academics to explore the extent of support of data sharing and the characteristics and factors associated with data-sharing practice. It found that while most academics recognised the importance of sharing research data, most of them had never shared or reused research data. There were differences in the extent of data sharing between different gender, academic disciplines, age and seniority. It also found that the awareness of Research Council UK’s (RCUK) Open-Access (OA) policy, experience of Gold and Green OA publishing, attitudes towards the importance of data sharing and experience of using secondary data were associated with the practice of data sharing. A small group of researchers used social media such as Twitter, blogs and Facebook to promote the research data they had shared online. Our findings contribute to the knowledge and understanding of open science and offer recommendations to academic institutions, journals and funding agencies.

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