scholarly journals Data policies of highly-ranked social science journals

2018 ◽  
Author(s):  
Mercè Crosas ◽  
Julian Gautier ◽  
Sebastian Karcher ◽  
Dessi Kirilova ◽  
Gerard Otalora ◽  
...  
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Journal Ranking ◽  
Quality Of Data ◽  
Scholarly Journals ◽  
Research Findings ◽  
Data Policy ◽  
Economics Journals

By encouraging and requiring that authors share their data in order to publish articles, scholarly journals have become an important actor in the movement to improve the openness of data and the reproducibility of research. But how many social science journals encourage or mandate that authors share the data supporting their research findings? How does the share of journal data policies vary by discipline? What influences these journals’ decisions to adopt such policies and instructions? And what do those policies and instructions look like?We discuss the results of our analysis of the instructions and policies of 291 highly-ranked journals publishing social science research, where we studied the contents of journal data policies and instructions across 14 variables, such as when and how authors are asked to share their data, and what role journal ranking and age play in the existence and quality of data policies and instructions. We also compare our results to the results of other studies that have analyzed the policies of social science journals, although differences in the journals chosen and how each study defines what constitutes a data policy limit this comparison.We conclude that a little more than half of the journals in our study have data policies. A greater share of the economics journals have data policies and mandate sharing, followed by political science/international relations and psychology journals.Finally, we use our findings to make several recommendations: Policies should include the terms “data,” “dataset” or more specific terms that make it clear what to make available; policies should include the benefits of data sharing; journals, publishers, and associations need to collaborate more to clarify data policies; and policies should explicitly ask for qualitative data.

Return to Meaning

2017 ◽  
Author(s):  
Mats Alvesson ◽  
Yiannis Gabriel ◽  
Roland Paulsen
Keyword(s):  
Social Science ◽  
No Value ◽  
Social Science Research ◽  
Academic Research ◽  
Science Research ◽  
Political Life ◽  
Cluttered Environment ◽  
Student Fees ◽  
Social Uses

This book argues that we are currently witnessing not merely a decline in the quality of social science research, but a proliferation of meaningless research of no value to society and modest value to its authors—apart from securing employment and promotion. The explosion of published outputs, at least in social science, creates a noisy, cluttered environment which makes meaningful research difficult, as different voices compete to capture the limelight even briefly. Older, but more impressive contributions are easily neglected as the premium is to write and publish, not read and learn. The result is a widespread cynicism among academics on the value of academic research, sometimes including their own. Publishing comes to be seen as a game of hits and misses, devoid of intrinsic meaning and value and of no wider social uses whatsoever. This is what the book views as the rise of nonsense in academic research, which represents a serious social problem. It undermines the very point of social science. This problem is far from ‘academic’. It affects many areas of social and political life entailing extensive waste of resources and inflated student fees as well as costs to taxpayers. The book’s second part offers a range of proposals aimed at restoring meaning at the heart of social science research, and drawing social science back, address the major problems and issues that face our societies.

Anthropology, Empathy, and the Need for Social Science Communication

2021 ◽  
pp. 107554702110188
Author(s):  
Jennifer Shannon ◽  
Claire Quimby ◽  
Chip Colwell ◽  
Scott Burg
Keyword(s):  
Social Science ◽  
Science Communication ◽  
Public Discourse ◽  
Social Science Research ◽  
Science Research

This is a call to science communicators and science journalists to feature social science research and researchers in their reporting, with an emphasis on anthropology and its potential to increase public empathy, improve the quality of public discourse, and contribute to contextual and narrative news trends.

Navigeren in het onderzoeksveld en het onderzoekersveld: reflecties op onderzoekspositionaliteit in (vermeend) insideronderzoek

KWALON ◽  
2021 ◽  
Vol 26 (1) ◽  
pp. 43-51
Author(s):  
Jing Hiah
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Research Process ◽  
Research Field ◽  
Content Type ◽  
Insider Research ◽  
Labour Relations ◽  
Research Findings ◽  
Shed Light

Abstract Navigating the research and researchers’ field: Reflections on positionality in (assumed) insider research To challenge rigid ideas about objectivity in social science research, qualitative researchers question their own subjectivity in the research process. In such endeavors, the focus is mainly on the positionality of the researcher vis-à-vis their respondents in the research field. In this contribution, I argue that the positionality of the researcher in academia, what I refer to as the researchers’ field, is equally important as it influences the way research findings are received and evaluated. Through reflections on positionality in my insider research concerning labour relations and exploitation in Chinese migrant businesses in the Netherlands and Romania, I explore how my positionality as an insider negatively influenced my credibility and approachability in the researchers’ field. I conclude that it is necessary to pay more attention to researchers’ positionality in academia as it may shed light on and make it possible to discuss the written and unwritten standards of researchers’ credibility and approachability as an academic in the researchers’ field. Accordingly, this could provide insights into the causes of inequalities in academia and contribute to the current challenge for more diversity in academia.

Measuring the Unmeasurable? Taking Stock of QoG Measures

2021 ◽  
pp. 92-114
Author(s):  
Nicholas Charron
Keyword(s):  
Social Science ◽  
Quality Indicator ◽  
Social Science Research ◽  
Science Research ◽  
Wide Scope ◽  
Scientific Impact ◽  
History Of ◽  
Cross Country ◽  
Future Work

This chapter discusses a wide scope of the available indicators of quality of government. It begins with a brief history of the development of the indicators and their scientific impact on social science research. The chapter posits a typology of the various ways in which indicators of governance can differ and implications of such differences. The chapter then reveals the degree to which contemporary cross-country indicators of corruption in particular correlate. Next, several well-established critiques of contemporary data are presented. The chapter concludes with several comments on what makes a good quality indicator and puts for several suggestions for future work in this ever-growing field.

scholarly journals Labor Laid Waste: An Introduction to the Special Issue on Waste Work

2019 ◽  
Vol 95 ◽  
pp. 1-17 ◽  
Author(s):  
Jacob Doherty ◽  
Kate Brown
Keyword(s):  
Human Capital ◽  
Social Science ◽  
Labor History ◽  
Social Science Research ◽  
Science Research ◽  
Special Issue ◽  
Material Quality ◽  
Precarious Labor ◽  
The Relationship

AbstractWaste studies brings to labor history a suite of conceptual tools to think about precarious labor, human capital, migration, the material quality of labor in urban and rural infrastructures, and the porosity and interchangeability of workers’ bodies in the toxic environments in which they labor. In this introduction, we explore the conceptual insights that the study of waste offers for the field of labor history, and what, in turn, a focus on labor history affords to social science research on waste. We examine the relationship between surplus populations and surplus materials, the location of waste work at the ambiguous fulcrum of trash and value, and the significance of labor for the understanding of infrastructure.

Social Science Research in India

2017 ◽  
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Research Output ◽  
Social Science Research ◽  
Science Research ◽  
Vital Role ◽  
Reference Database ◽  
Data Infrastructure ◽  
Quality Of Research

Social science research (SSR) has a vital role in enriching societies, by generating scientific knowledge that brings insights—even enlightenment—in understanding the dynamics of human behaviour and development. For social sciences to realize their potential in shaping public policy, it is imperative that the research ecosystem is dynamic and vibrant; the institutions governing it are robust and effective; and those producing quality research are strong and well governed. This volume elaborates on various dimensions of SSR in India, presenting a strong case for designing a comprehensive national social science policy which can meaningfully strengthen and promote a research ecosystem for improved public policymaking in the country. Addressing issues like lack of funding, availability of data, infrastructure, and quality of research output, it will serve as a national benchmark and reference database for social sciences in India.

Representing own and other voices in social science research articles

2013 ◽  
Vol 18 (2) ◽  
pp. 199-228 ◽  
Author(s):  
Jean Parkinson
Keyword(s):  
Social Science ◽  
Social Action ◽  
Social Science Research ◽  
Science Research ◽  
Research Articles ◽  
Prominent Feature ◽  
The Social ◽  
Complement Clauses ◽  
Research Findings ◽  
Prior Investigation

That complement clauses are a prominent feature of various registers including conversation and academic prose. In academic prose, that-clauses are of interest because they frame research findings, the writer’s central message to the reader. To achieve this persuasive purpose, that-clauses are employed to draw in various voices, including those of other researchers, research participants, research findings and the writer. This study extends prior investigation of complement clauses to examine their distribution across different sections of a corpus of research articles in social science. The social action of each section is partially achieved through what the different voices in the different sections of the article talk about, and the subtle variations in the stance of the author and other voices across sections. This study finds that use of reporting verbs is nuanced according to authors’ purposes in different sections, and also according to the source of the proposition in the that-clause.

scholarly journals Quality of Social Science Research in India

2017 ◽  
Author(s):  
Amit Shovon Ray ◽  
M. Parameswaran ◽  
Manmohan Agarwal ◽  
Sunandan Ghosh ◽  
Udaya S. Mishra ◽  
...  
Keyword(s):  
Social Science ◽  
Quality Index ◽  
Keyword Search ◽  
Social Science Research ◽  
Science Research ◽  
Three Dimensions ◽  
Journal Articles ◽  
Public Debates ◽  
Quality Of Research

The chapter analyses the quality of research in terms of quality of articles and of journals by using a quality index. It uses two-dimension indicators to judge the quality of articles, that is, citations (scholarly) and readership, which is the number of hits an article receives in a simple Google keyword search. The quality of a journal is measured in terms of three dimensions: its presence over time, its presence across space, and its depth. The study took 21351 journal articles from 1006 journals (902 journals from Scopus and 104 journals from ISID for five-year period, 2010–14. It emerged that India’s social science research (SSR) contributes more to public debates and policy formulations and relatively less in pushing the frontiers of knowledge for further research.

Triangulation Approaches in Accounting Research

2020 ◽  
pp. 186-200
Author(s):  
Koholga Ormin
Keyword(s):  
Social Science ◽  
Quantitative Research ◽  
Social Science Research ◽  
Science Research ◽  
Accounting Research ◽  
The Social ◽  
Research Findings ◽  
Data Source ◽  
Single Data ◽  
Science Disciplines

Accounting research, like many other social science disciplines, has gradually moved from qualitative to quantitative research with an emphasis on the use of multiple evidence or methods in the conduct of research. This chapter explores the concerns and implications of triangulation in the conduct of research in the social sciences, particularly in the field of accounting. Based on evidence from existing literature, the chapter submits that triangulation is an important strategy for enhancing the quality of accounting research. Accounting researchers, like those from other social science disciplines, often adopt triangulation when investigating a complex phenomenon whereby using a single data source or method may not allow an exhaustive investigation to fully understand it, hence the inability to reach a dependable conclusion. Despite the concerns and implications of use of triangulation in accounting and social science research, the chapter concluded it is a relevant approach especially at a time when adequate evidence and analytical rigor is required to substantiate research findings.

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