Enhancing Research Transparency: The TOP Guidelines, DAS, and OSF Framework

 

Summary: The Transparency and Openness Promotion (TOP) Guidelines, developed in 2015 by the Center for Open Science, provide a framework to help journals and authors implement open science policies. The guidelines cover eight domains: citation standards, data transparency, analytical methods transparency, research materials transparency, design and analysis transparency, study design preregistration, and analysis plan preregistration. By adhering to these guidelines, researchers ensure transparency and reproducibility.

 

Data Availability Statements (DAS) are crucial in this framework, detailing where and how data supporting the research can be accessed, promoting greater findability and discoverability of data.

 

The Open Science Framework (OSF) supports this by providing a cloud-based platform for collaboration, version control, and data archiving, ensuring that research data, protocols, and materials are preserved and accessible for long-term use. Researchers can manage files, share documents, and connect to third-party services like Dropbox or Google Drive, enhancing the efficiency and openness of scientific research.

 

 

The Transparency and Openness Promotion (TOP) Guidelines 

TOP is a a framework that helps journals and authors develop and implement open science policies. The guidelines were developed in 2015 by the Center for Open Science and specify eight domains of research planning and reporting that authors must comply with:

 

• Citation standards
• Data transparency
• Analytics methods (code) transparency
• Research materials transparency
• Design and analysis transparency
• Study design preregistration
• Analysis plan preregistration

 

Sample  Statement for TOP

 

Data Transparency and Openness" 

The research carefully detailed the sampling approach, data exclusion criteria, experimental adjustments, and measurement techniques, in line with the Transparency and Openness Promotion (TOP) Guidelines, 

https://www.cos.io/initiatives/top-guidelines

TOP Guidelines

 

To promote transparency and reproducibility, all related data, codes, and materials have been made publicly accessible through an anonymized link on the Open Science Framework (OSF) (https://osf.io/xxxx/). Data analysis was performed using Stata, version 15.1.

 

 

Data Availability Statement (DAS)

 

What is a DAS?

 

Data availability statements, also known as data access statements, are included in publications to describe where the data associated with the paper is available, and under what conditions the data can be accessed. They are required by the university as part of the commitment to open research, by many funders, and research journals, as well as the

 

Data availability statements provide information on where and under what conditions the data directly supporting the publication can be accessed. The aim of such statements is to make data more findable and discoverable. See our templates for data availability statements. (Taylor & Francis & Routledge)

 

https://authorservices.taylorandfrancis.com/frequently-asked-questions/data-sharing-faq/#:~:text=Data%20availability%20statements%20provide%20information,templates%20for%20data%20availability%20statements.

 

Data sharing FAQs - Author Services

 

 

 

https://www.ukri.org/manage-your-award/publishing-your-research-findings/making-your-research-data-open/

Making your research data open

 

 

Sample Statement of DAS

https://authorservices.taylorandfrancis.com/data-sharing/share-your-data/data-availability-statements/

Writing a data availability statement - Author Services

 

 

Data Availability Statement (DAS)

The research carefully detailed the sampling approach, data exclusion criteria, experimental adjustments, and measurement techniques, in line with the Policies on Data Sharing, 

https://authorservices.taylorandfrancis.com/data-sharing-policies/

Understanding our data sharing policies - Author Services

 

The data that supports the findings of this study are openly available in the Open Science Framework (OSF) at https://doi.org/10.xxxxx. Data analysis was performed using (software).

 

 

OSF stands for Open Science Framework,

This is a free, open-source web application that helps researchers manage their projects and collaborations. 

https://www.cos.io/products/osf#:~:text=Manage%20files%2C%20data%2C%20code%2C,Get%20started%20now

The Open Science Framework

It's a cloud-based platform that combines collaboration tools, version control software, and data archiving to support open research and best practices:

 

• Collaboration: OSF allows teams to work together in a centralized location, sharing documents, datasets, and other information. You can also control access to different parts of a project, making it easy to share with your team or the community.
• Version control: OSF automates version control and provides persistent URLs.
• Data archiving: OSF can store and archive research data, protocols, and materials, and has a preservation fund that can support read access for over 50 years. You can also connect OSF to third-party services like Dropbox or Google Drive

 

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2024. 07. 30 : Initially Archived