scholarly journals Integrating Qualitative Methods and Open Science: Five Principles for More Trustworthy Research*

2021 ◽  
Author(s):  
Lee Humphreys ◽  
Neil A Lewis ◽  
Katherine Sender ◽  
Andrea Stevenson Won
Keyword(s):  
Knowledge Production ◽  
Ways Of Knowing ◽  
Science Research ◽  
Open Science ◽  
Communication Research ◽  
Competing Values ◽  
Open Communication ◽  
Qualitative And Quantitative ◽  
Science Framework ◽  
Equity And Inclusion

Abstract Recent initiatives toward open science in communication have prompted vigorous debate. In this article, we draw on qualitative and interpretive research methods to expand the key priorities that the open science framework addresses, namely producing trustworthy and quality research. This article contributes to communication research by integrating qualitative methodological literature with open communication science research to identify five broader commitments for all communication research: validity, transparency, ethics, reflexivity, and collaboration. We identify key opportunities where qualitative and quantitative communication scholars can leverage the momentum of open science to critically reflect on and improve our knowledge production processes. We also examine competing values that incentivize dubious practices in communication research, and discuss several metascience initiatives to enhance diversity, equity, and inclusion in our field and value multiple ways of knowing.

Psychophysiology, cognition, and political differences

2021 ◽  
Vol 40 (2) ◽  
pp. 137-141 ◽  
Author(s):  
Jordan Mansell ◽  
Allison Harell ◽  
Elisabeth Gidengil ◽  
Patrick A. Stewart
Keyword(s):  
Political Science ◽  
Life Sciences ◽  
Science Research ◽  
Open Science ◽  
Common Theme ◽  
Special Issue ◽  
The Future ◽  
Research Questions ◽  
Political Differences ◽  
Science Framework

AbstractWe introduce the Politics and the Life Sciences special issue on Psychophysiology, Cognition, and Political Differences. This issue represents the second special issue funded by the Association for Politics and the Life Sciences that adheres to the Open Science Framework for registered reports (RR). Here pre-analysis plans (PAPs) are peer-reviewed and given in-principle acceptance (IPA) prior to data being collected and/or analyzed, and are published contingent upon the preregistration of the study being followed as proposed. Bound by a common theme of the importance of incorporating psychophysiological perspectives into the study of politics, broadly defined, the articles in this special issue feature a unique set of research questions and methodologies. In the following, we summarize the findings, discuss the innovations produced by this research, and highlight the importance of open science for the future of political science research.

scholarly journals Open Communication Science: A Primer on Why and Some Recommendations for How

2019 ◽  
Author(s):  
Neil Anthony Lewis
Keyword(s):  
Open Science ◽  
Social World ◽  
Communication Research ◽  
Journal Articles ◽  
Open Communication ◽  
Science Practices ◽  
Communication Processes ◽  
The Social ◽  
Holistic Understanding ◽  
Current Article

Communication scientists devote large amounts of resources to conducting studies to improve our understanding of the social world, in hopes that our efforts contribute to improving people’s life out-comes. Unfortunately, for a variety of reasons, the process by which our research is conducted is not always clear in journal articles or books reporting our research. This lack of process-insight (a) limits our ability to build on each other’s research, (b) limits our holistic understanding of communication processes, and (c) limits the ability of consumers of our research to put it into practice. The current article discusses recent methodological advances designed to address these issues – advances in open science practices. I provide a brief primer on the philosophy behind open science and its relevance for communication research, then provide recommendations for both novice and expert researchers to implement open science practices at multiple steps of the research pipeline.

scholarly journals Observational Open Science: An Application to the Literature on Irrelevant Events and Voting Behavior

2019 ◽  
Author(s):  
Matthew H. Graham ◽  
Gregory A Huber ◽  
neil malhotra ◽  
Cecilia Hyunjung Mo
Keyword(s):  
Voting Behavior ◽  
Observational Studies ◽  
Science Research ◽  
Open Science ◽  
Independent Data ◽  
Original Time Series ◽  
Ex Post ◽  
Specification Search ◽  
Science Framework ◽  
Original Time

Replication and transparency are increasingly important in bolstering the credibility of political science research, yet open science tools are typically designed for experiments. For observational studies, current replication practice suffers from an important pathology: just as researchers can often "p-hack" their way to initial findings, it is often possible to "null hack" findings away through specification and case search. We propose an observational open science framework that consists of extending the original time series, independent data collection, pre-registration, multiple simultaneous replications, and collaborators with mixed incentives. We apply the approach to three studies on "irrelevant" events and voting behavior. Each study replicates well in some areas and poorly in others. Had we sought to debunk any of the three with ex post specification search, we could have done so. However, our approach required us to see the full, complicated picture. We conclude with suggestions for future refinements to our approach.

scholarly journals Human Networks and Data Science (NSF 19-608): Uncovering the "dark matter" of research

2020 ◽  
Author(s):  
Brian A. Nosek ◽  
Stasa Milojevic ◽  
Valentin Pentchev ◽  
Xiaoran Yan ◽  
David M Litherland ◽  
...  
Keyword(s):  
Data Science ◽  
Science Research ◽  
Open Science ◽  
Heterogeneous Data ◽  
Data Sets ◽  
Heterogeneous Data Source ◽  
Science Of Science ◽  
Science Framework ◽  
Additional Support ◽  
Human Networks

With funding from the National Science Foundation, the Center for Open Science (COS) and Indiana University will create a dynamic, distributed, and heterogeneous data source for the advancement of science of science research. This will be achieved by using, enhancing, and combining the capabilities of the Open Science Framework (OSF) and the Collaborative Archive & Data Research Environment (CADRE). With over 200,000 users (currently growing by >220 per day), many thousands of projects, registrations, and papers, millions of files stored and managed, and rich metadata tracking researcher actions, the OSF is already a very rich dataset for investigating the research lifecycle, researcher behaviors, and how those behaviors evolve in the social network. As a cross-university effort, CADRE provides an integrated data mining and collaborative environment for big bibliographic data sets. While still under development, the CADRE platform has already attracted long-term financial commitments from 10 research intensive universities with additional support from multiple infrastructure and industry partners. Connecting these efforts will catalyze transformative research of human networks in the science of science.

scholarly journals The Science of Open (Communication) Science: Toward an Evidence-Driven Understanding of Quality Criteria in Communication Research

2021 ◽  
Author(s):  
Isabelle Freiling ◽  
Nicole M Krause ◽  
Dietram A Scheufele ◽  
Kaiping Chen
Keyword(s):  
Social Media ◽  
Quality Criteria ◽  
Open Science ◽  
Data Sources ◽  
Communication Research ◽  
Open Communication ◽  
Social Media Data ◽  
Science Practices ◽  
Conceptual Clarity ◽  
Media Data

Abstract Paralleling very visible debates in psychology, some parts of the communication field have recently pushed for a wholesale endorsement of the principles of open science and its practices, including a particular focus on replicability and reproducibility as quality criteria. Unfortunately, these discussions have been plagued by a set of at least 3 interrelated problems: A lack of conceptual clarity when defining open science-related challenges to communication scholarship; the irony of using intuition rather than evidence when trying to improve communication science; and our field’s surprising lack of attention to nonreplicability in social media data as one of our field’s most rapidly growing data sources. In response to these problem areas, we argue that communication as a field proceed empirically as it applies open science practices to different subfields in communication and end our essay with pathways forward for a science of open (communication) science.

scholarly journals Opening a Conversation on Open Communication Research

2021 ◽  
Author(s):  
Adrienne Shaw ◽  
Michael Scharkow ◽  
Zheng Joyce Wang
Keyword(s):  
Open Science ◽  
Unintended Consequences ◽  
Communication Research ◽  
Special Issue ◽  
Open Communication ◽  
Research Practices ◽  
Open Research ◽  
Diverse Field

Abstract Many disciplines have been debating and enacting a range of policies, procedures, and practices that fall under the umbrella term “open research” or “open science.” Following the publication of “An Agenda for Open Science in Communication”, we invited communication scholars to continue the conversation on what open research practices broadly might mean for our diverse field. Specifically, we sought work that: looked empirically at the need for and impact of open research practices; considered the unintended consequences of calls for open research practices broadly; and that reflected on what such a move would mean for qualitative and humanistic communication research. We hope the collection of articles in this special issue motivates and facilitates an ongoing conversation on open research practices in the field of communication.

A Tale of Two Cultures

2012 ◽  
Author(s):  
Gary Goertz ◽  
James Mahoney
Keyword(s):  
Social Sciences ◽  
Quantitative Research ◽  
Social Science Research ◽  
Measurement Data ◽  
Science Research ◽  
Quantitative Research Methods ◽  
Qualitative And Quantitative ◽  
The Social ◽  
Scientific Worldview ◽  
Different Cultures

Some in the social sciences argue that the same logic applies to both qualitative and quantitative research methods. This book demonstrates that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. The book identifies and discusses major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, the book also seeks to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. The book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.

Publikasi Akademik Sepanjang 2019

2019 ◽  
Author(s):  
Adib Rifqi Setiawan
Keyword(s):  
Open Science ◽  
Research Papers ◽  
Science Framework

Berikut ini beberapa publikasi saya pada 2019 ini. Penting atau tidak, saya menganggap bahwa publikasi hanyalah efek samping riset. Di luar publikasi ini, saya juga masih aktif sebagai penulis media daring, seperti Qureta.com, Selasar.com, dan SantriMilenial.net serta mengunggah beberapa artikel preprint melalui layanan Open Science Framework (OSF), EdArxiv.org, dan Research Papers in Economics (RePEc).

scholarly journals Grand Challenges, Feminist Answers

2021 ◽  
Vol 2 (3) ◽  
pp. 263178772110203
Author(s):  
Yvonne Benschop
Keyword(s):  
Knowledge Production ◽  
Ways Of Knowing ◽  
Natural World ◽  
Value Systems ◽  
Situated Knowledge ◽  
Feminist Ethics ◽  
Organization Studies ◽  
Grand Challenges ◽  
Knowing That ◽  
Feminist Organization

Feminist organization theories develop knowledge about how organizations and processes of organizing shape and are shaped by gender, in intersection with race, class and other forms of social inequality. The politics of knowledge within management and organization studies tend to marginalize and silence feminist theorizing on organizations, and so the field misses out on the interdisciplinary, sophisticated conceptualizations and reflexive modes of situated knowledge production provided by feminist work. To highlight the contributions of feminist organization theories, I discuss the feminist answers to three of the grand challenges that contemporary organizations face: inequality, technology and climate change. These answers entail a systematic critique of dominant capitalist and patriarchal forms of organizing that perpetuate complex intersectional inequalities. Importantly, feminist theorizing goes beyond mere critique, offering alternative value systems and unorthodox approaches to organizational change, and providing the radically different ways of knowing that are necessary to tackle the grand challenges. The paper develops an aspirational ideal by sketching the contours of how we can organize for intersectional equality, develop emancipatory technologies and enact a feminist ethics of care for the human and the natural world.

scholarly journals Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1030
Author(s):  
Julie Lake ◽  
Catherine S. Storm ◽  
Mary B. Makarious ◽  
Sara Bandres-Ciga
Keyword(s):  
Neurodegenerative Diseases ◽  
Large Scale ◽  
Disease Diagnosis ◽  
Open Science ◽  
Future Directions ◽  
The Road ◽  
Current State ◽  
Molecular Complexity ◽  
Science Framework ◽  
Lateral Sclerosis

Neurodegenerative diseases are etiologically and clinically heterogeneous conditions, often reflecting a spectrum of disease rather than well-defined disorders. The underlying molecular complexity of these diseases has made the discovery and validation of useful biomarkers challenging. The search of characteristic genetic and transcriptomic indicators for preclinical disease diagnosis, prognosis, or subtyping is an area of ongoing effort and interest. The next generation of biomarker studies holds promise by implementing meaningful longitudinal and multi-modal approaches in large scale biobank and healthcare system scale datasets. This work will only be possible in an open science framework. This review summarizes the current state of genetic and transcriptomic biomarkers in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis, providing a comprehensive landscape of recent literature and future directions.

Sign in / Sign up

Export Citation Format

Share Document