Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis

Clinical trials for conditions affecting the visual system need to not only conform to the guidelines for all clinical trials, but also accommodate the possibility of both eyes of a single patient qualifying for the trial. In this review, I present the interplay of the key components in the design of a clinical trial, along with the modifications or options that may be available for trials addressing ocular conditions. Examples drawn from published reports of the design and results of clinical trials of ocular conditions are provided to illustrate application of the design principles. Current approaches to data analysis and reporting of trials are outlined, and the oversight and regulatory procedures to protect participants in clinical trials are discussed. Expected final online publication date for the Annual Review of Vision Science, Volume 7 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Download Full-text

PMTools – a new program for paleomagnetic data analysis and visualization

10.5194/egusphere-egu21-3474 ◽

2021 ◽

Author(s):

Ivan Efremov ◽

Roman Veselovskiy

Keyword(s):

Data Analysis ◽

Paleomagnetic Data ◽

Use Case ◽

Quality Performance ◽

Analysis Process ◽

Data Formats ◽

Cross Platform ◽

The Mean ◽

Near Future ◽

Best Fit

There are many programs for the analysis and visualization of paleomagnetic data, but each of them is good only in a certain use case and does not allow to perform a full cycle of paleomagnetic operations. Therefore, one has to resort to using a number of programs to complete the full path of processing paleomagnetic data. You often have to convert data from one format to another, manually vectorize charts, and generally spend more time and effort than could theoretically be spent. Thus, there is a long overdue need for a universal program capable of fast, convenient and high-quality performance of a full cycle of paleomagnetic operations. A set of programs written by Randy Enkin (Enkin, 1996) for DOS was taken as a time-tested example of such a program. The choice fell on them, since these programs (although they are very outdated) allow performing a full cycle of paleomagnetic operations and do it as conveniently and efficiently as possible for that time.Our goal is to create a program devoid of all of the above disadvantages and capable of developing indefinitely as modular opensource software by the efforts of all people interested in this.The result of our work is PMTools &#8211; a cross-platform software for statistical analysis and visualization of paleomagnetic data. PMTools supports all widely used paleomagnetic data formats and allows you to work with them simultaneously. All charts created in PMTools are vector, adapted for direct using in publications and presentations, and can be exported in both vector and raster formats. At the same time, PMTools implements a full cycle of routine paleomagnetic operations: from finding the best-fit directions to calculating the mean paleomagnetic poles. Moreover, all operations can be performed both with a mouse through a graphical user interface and with hotkeys, which significantly speeds up the data analysis process.&#160;In the near future, PMTools will become a modular open source application, so that each user will be able to add its own modules, thereby expanding the program's functionality.ReferencesEnkin, R.J., 1996. A Computer Program Package for Analysis and Presentation of Paleomagnetic Data, Pacific Geoscience Center, Geological Survey of Canada, http://www.pgc.nrcan.gc.ca/tectonic/enkin.htm.

Download Full-text

Conducting Effective Interviews about Virtual Work

Virtual Work and Human Interaction Research ◽

10.4018/978-1-4666-0963-1.ch012 ◽

2012 ◽

pp. 192-212 ◽

Cited By ~ 1

Author(s):

Kerk F. Kee ◽

Marceline Thompson-Hayes

Keyword(s):

Data Analysis ◽

Best Practices ◽

Research Method ◽

Virtual Work ◽

Interview Data ◽

Qualitative Interviewing ◽

Interdisciplinary Scholarship ◽

Interviewing Techniques

This chapter explicates interviewing as a viable research method for studying virtual work. The chapter begins with a review of the existing interdisciplinary scholarship on qualitative interviewing along with three modes of interviewing, interviewing techniques, formats, and rigor. Next, the chapter reviews exemplary research reports on virtual work to illustrate best practices in interviewing and data analysis. Finally, suggestions for collecting, analyzing, and interpreting interview data about virtual work are discussed.

Download Full-text

A survey of best practices for RNA-seq data analysis

Genome Biology ◽

10.1186/s13059-016-0881-8 ◽

2016 ◽

Vol 17 (1) ◽

Cited By ~ 930

Author(s):

Ana Conesa ◽

Pedro Madrigal ◽

Sonia Tarazona ◽

David Gomez-Cabrero ◽

Alejandra Cervera ◽

...

Keyword(s):

Data Analysis ◽

Best Practices ◽

Rna Seq

Download Full-text

Best practices for cross-platform virtual reality development

10.1117/12.2262718 ◽

2017 ◽

Cited By ~ 1

Author(s):

Jonathan Schlueter ◽

Holly Baiotto ◽

Melynda Hoover ◽

Vijay Kalivarapu ◽

Gabriel Evans ◽

...

Keyword(s):

Virtual Reality ◽

Best Practices ◽

Cross Platform

Download Full-text

Qualitative Data Analysis and Interpretation in Counseling Psychology: Strategies for Best Practices

The Counseling Psychologist ◽

10.1177/0011000006292596 ◽

2007 ◽

Vol 35 (3) ◽

pp. 369-403 ◽

Cited By ~ 86

Author(s):

Christine J. Yeh ◽

Arpana G. Inman

Keyword(s):

Data Analysis ◽

Best Practices ◽

Counseling Psychology ◽

Qualitative Data ◽

Psychology Training ◽

Qualitative Data Analysis ◽

Training And Research ◽

Qualitative Methodologies

This article presents an overview of various strategies and methods of engaging in qualitative data interpretations and analyses in counseling psychology. The authors explore the themes of self, culture, collaboration, circularity, trustworthiness, and evidence deconstruction from multiple qualitative methodologies. Commonalities and differences that span across approaches are explored. Implications for how researchers address qualitative data analysis and interpretation in counseling psychology training and research are discussed.

Download Full-text

Conducting secondary analysis of qualitative data: Should we, can we, and how?

Qualitative Social Work ◽

10.1177/1473325017700701 ◽

2017 ◽

Vol 18 (1) ◽

pp. 81-97 ◽

Cited By ~ 29

Author(s):

Nicole Ruggiano ◽

Tam E Perry

Keyword(s):

Data Analysis ◽

Best Practices ◽

Qualitative Data ◽

Secondary Analysis ◽

Secondary Data ◽

Secondary Data Analysis ◽

Ethical Problems ◽

Current State ◽

Critical Interpretive Synthesis ◽

Recommended Guidelines

While secondary data analysis of quantitative data has become commonplace and encouraged across disciplines, the practice of secondary data analysis with qualitative data has met more criticism and concerns regarding potential methodological and ethical problems. Though commentary about qualitative secondary data analysis has increased, little is known about the current state of qualitative secondary data analysis or how researchers are conducting secondary data analysis with qualitative data. This critical interpretive synthesis examined research articles (n = 71) published between 2006 and 2016 that involved qualitative secondary data analysis and assessed the context, purpose, and methodologies that were reported. Implications of findings are discussed, with particular focus on recommended guidelines and best practices of conducting qualitative secondary data analysis.

Download Full-text

With the Right Map, Survey Key Driver Analysis Can Help Get Organizations to the Right Destination

Industrial and Organizational Psychology ◽

10.1017/iop.2017.21 ◽

2017 ◽

Vol 10 (2) ◽

pp. 290-298

Author(s):

Charles A. Scherbaum ◽

Justin Black ◽

Sara P. Weiner

Keyword(s):

Data Analysis ◽

Best Practices ◽

Survey Data ◽

Analytical Techniques ◽

Opinion Survey ◽

Key Driver ◽

Driver Analysis ◽

Employee Opinion Survey ◽

The Right ◽

Analytical Approaches

Cucina, Walmsley, Gast, Martin, and Curtin (2017) raise an important issue in evaluating whether our current approaches for key driver analysis on employee opinion survey data are indeed best practices. As has been argued elsewhere (Putka & Oswald, 2016; Scherbaum, Putka, Naidoo, & Youssefnia, 2010), there is and can be misalignment between current and best practices. We agree with Cucina et al. that our field should engage in larger discussion of these issues. That discussion is critical, as industrial and organizational (I-O) psychologists are competing with those outside our field who have either little knowledge of best practices in data analysis (but who have been empowered by technology that automates the analysis) or little knowledge of psychology (but a great deal of knowledge in big data analytical techniques). I-O psychologists are in the vanguard of survey data analysis (Ducey et al., 2015), and we have a responsibility to maintain the standards of our field as well as to wield our influence to guide other practitioners outside our field on sound theoretical and analytical approaches.

Download Full-text