The journal encourages authors to maintain transparency, accuracy, and integrity with respect to the data that underpin their research findings. Research data include the results derived from observations or experiments that support the study’s conclusions. Such data may encompass raw and processed data, as well as software, algorithms, code, models, protocols, and other relevant materials associated with the research project.

Data Availability and Transparency

Authors are requested to deposit and register their research data in a reputable and trustworthy data repository whenever possible. Making research data accessible enhances transparency, reproducibility, and long‑term usability of scholarly work.

Below is a non‑exhaustive list of widely recognized international services commonly used for research data sharing. Authors may select the repository that best fits the nature of their data and disciplinary practices.

(A table listing major global research data repositories may be provided here.)

 

 

Repository Name	Link	Description Highlights
Mendeley Data	https://www.mendeley.com/datasets	A secure, cloud-based, communal repository for easy sharing, access, and citation of research datasets.
Dryad	https://datadryad.org	An open data publishing platform for a wide diversity of data types, committed to the open availability and reuse of research data.
Figshare	https://figshare.com	An all-in-one repository for papers, FAIR data, and non-traditional research outputs, allowing all file formats to be published.
Open Science Framework (OSF)	https://osf.io	A free, open platform that facilitates open collaboration and streamlines research workflows, offering a structured project management system and repository.
Zenodo	https://zenodo.org	A general-purpose open-access repository developed by CERN, allowing researchers to deposit research data, software, reports, and more.
UK Data Service ReShare	https://reshare.ukdataservice.ac.uk	The UK Data Service's self-deposit repository primarily for social science research data, which ensures data conforms with ethical and legal requirements.
OpenICPSR	https://www.openicpsr.org/openicpsr	A self-publishing repository from ICPSR for social, behavioral, and health sciences data, well-suited for replication datasets.
Qualitative Data Repository (QDR)	https://qdr.syr.edu	A dedicated archive for storing and sharing digital data generated or collected through qualitative and multi-method research in the social sciences.

Research Data (FAIR Principles, Data Citation, and Image Integrity)

These platforms assist researchers in complying with the FAIR principles—Findability, Accessibility, Interoperability, and Reusability. Data sharing promotes the integrity, discoverability, and reuse of research, thereby supporting reproducibility and increasing the impact of scholarly work.

As The Journal of Philosophy and Kalam employs a double‑blind peer‑review process, authors are strongly encouraged to remove any identifying information from datasets provided to reviewers. This may be achieved, for example, through the use of repository links or data‑sharing services specifically designed to anonymize data prior to public release.

 

Data Citation and Linking

If a dataset is deposited in a public repository, authors must cite and link to the dataset within the manuscript. Data citations must be included in the reference list and should contain a persistent identifier, such as a Digital Object Identifier (DOI), whenever available.

 

Data Availability Statement

All original research articles must include a Data Availability Statement. This statement should clearly explain how the data supporting the results and analyses presented in the article can be accessed:

1.Publicly available data:

The statement must provide direct links or formal citations to the archived datasets.

2.Restricted or non‑public data:

(for example, due to sensitive or confidential information such as the privacy of human participants), the statement must clearly state the reason for restricted access and describe the conditions under which the data may be accessed, if applicable.

 

Data Retention and Verification

Authors must be prepared to provide the underlying data supporting their article upon request by the editorial board for the purpose of verifying the validity of the reported findings. Authors are also expected to retain the data for a reasonable period after publication and, ideally, to ensure that the data are archived on a permanent basis.

 

Ethical Considerations for Research Data

If the research involves human participants, authors must confirm that informed consent has been obtained and that all procedures comply with relevant ethical guidelines governing data protection and privacy rights.

 

Integrity in Image Preparation

Authors are responsible for ensuring that all digital images (including figures, charts, and artworks) accurately represent the original data. Any manipulation that results in fabrication, falsification, or misleading representation of research results is considered unethical.

Adjustments to brightness, contrast, or color balance are acceptable only when applied uniformly across the entire image and when they do not obscure, remove, or misrepresent information present in the original data.

The journal reserves the right to request original, unprocessed image files from authors during the peer‑review process or after publication to verify the integrity of submitted images.