Data Sharing Policy

JPPMI | RESEARCH AND PUBLICATION INTEGRITY

Data Sharing Policy

Transparency, responsible data availability, and protection of community information.

Policy Overview

Jurnal Pengabdian dan Pengembangan Masyarakat Indonesia (JPPMI) supports responsible sharing of data and supporting materials to strengthen transparency, verification, reproducibility where applicable, and the scholarly value of community engagement and development publications.

Authors are encouraged to make supporting data and materials accessible when this is ethically, legally, and practically appropriate.

Data sharing must comply with participant consent, community agreements, institutional requirements, intellectual-property rights, applicable laws, and relevant ethical approvals or restrictions. JPPMI does not require public disclosure of identifiable, confidential, sensitive, or legally protected information.

Responsible Data Sharing Principle

Data transparency must be balanced with the rights, privacy, safety, consent, and legitimate interests of community participants and partner institutions. Authors are required to provide an accurate Data Availability Statement, but they are not automatically required to make all underlying data publicly accessible.

1. Required Data Availability Statement

Every manuscript must include a Data Availability Statement after the conclusion, following the current JPPMI manuscript template.

The statement must accurately explain whether the data supporting the reported findings are:

  • Publicly available in a repository.
  • Available from the corresponding author upon reasonable request.
  • Subject to ethical, legal, institutional, or community-related restrictions.
  • Included within the article or its supplementary materials.
  • Not applicable because no new dataset was generated or analyzed.

Authors must select the option that reflects the actual availability of their data. Statements must not promise access that the authors are unable or unauthorized to provide.

2. Data and Materials Covered by This Policy

Depending on the nature of the community engagement program and evaluation methods, supporting data and materials may include:

  • De-identified quantitative datasets.
  • Survey instruments and questionnaires.
  • Interview and observation guides.
  • Data dictionaries, coding frameworks, and codebooks.
  • Educational modules, training materials, and intervention resources.
  • Analytical code, calculation procedures, and relevant scripts.
  • Program protocols and implementation manuals.
  • Other non-sensitive materials necessary to interpret or verify reported findings.

The availability of materials must be consistent with copyright, licensing, participant consent, institutional policies, community agreements, and any applicable third-party permissions.

3. Data Availability Options

JPPMI recognizes different approaches to data availability depending on the characteristics, ownership, and sensitivity of the underlying information.

Availability Option Appropriate Use and Requirements
Public Repository Non-sensitive data that can be lawfully shared. Provide the repository name, persistent URL or DOI, and any applicable conditions.
Available on Request Data requiring appropriate request evaluation or controlled access. Identify the responsible contact and relevant access conditions.
Restricted Access Confidential, identifiable, sensitive, community-owned, or legally restricted information. Explain the restriction without exposing protected information.
Included in Article Relevant supporting information is provided within the publication or supplementary files. Identify its location.
Not Applicable No new dataset was generated or analyzed. Provide a brief and accurate explanation.

4. Suggested Data Availability Statements

Authors may adapt the following examples according to the actual status of their supporting data and materials.

A. Publicly Available Data

"The de-identified data supporting the findings of this article are publicly available in [repository name] at [persistent URL or DOI]."

B. Available Upon Reasonable Request

"The de-identified data supporting the findings of this article are available from the corresponding author upon reasonable request, subject to applicable ethical, institutional, and data-protection requirements."

C. Restricted Data

"The underlying data are not publicly available because they contain information protected by participant privacy, community agreements, or institutional confidentiality requirements."

D. Data Included in the Article

"The supporting data are included in this article and its supplementary materials. No additional dataset is deposited separately."

E. Not Applicable

"Data sharing is not applicable because no new dataset was generated or analyzed for this article."

These examples are illustrative. Authors must replace bracketed information, select only the applicable statement, and ensure that it reflects the actual data and permissions associated with their work.

5. Data Repositories and Citation

When data can be shared publicly, authors are encouraged to use a recognized institutional, disciplinary, or general-purpose repository with suitable long-term access arrangements.

Repositories offering persistent identifiers, clear access conditions, and appropriate metadata are preferred. Temporary file-transfer services or ordinary personal cloud-storage links should not be relied upon as the primary long-term repository.

When an external dataset is used or a dataset is deposited, authors should provide an appropriate citation that includes the creator, publication year, dataset title, repository, version, and persistent identifier, where available.

Authors must verify that the repository's access conditions and licensing arrangements are consistent with participant consent, community agreements, intellectual-property rights, and applicable data protection requirements.

6. Privacy and Sensitive Community Data

Community engagement programs may generate information about individuals, households, schools, health conditions, livelihoods, local institutions, and culturally sensitive community practices.

Authors must assess the risks associated with sharing such information, including the possibility of direct or indirect identification.

  • Remove unnecessary direct identifiers before sharing data.
  • Assess indirect identification risks, particularly in small communities or locations.
  • Protect health information and other sensitive personal data.
  • Apply additional safeguards for minors and vulnerable participants.
  • Do not assume that consent to participate also authorizes public data sharing.
  • Do not publicly deposit identifiable photographs, recordings, or quotations without appropriate permission.
  • Respect community-owned information, culturally sensitive knowledge, and relevant agreements with partners.
  • Use controlled access or withhold data where public disclosure could cause foreseeable harm.

Participant and Community Protection: De-identification does not always eliminate re-identification risks. When data cannot be shared safely or lawfully, authors should explain the restriction rather than disclose protected information.

7. Editorial Access to Supporting Data

During manuscript evaluation or investigation of a publication concern, JPPMI editors may request relevant supporting data and documentation to assess the accuracy and integrity of reported findings.

Depending on the manuscript, requested materials may include:

  • De-identified datasets or summaries of results.
  • Survey instruments and evaluation procedures.
  • Relevant analytical code or calculation records.
  • Program protocols and implementation documents.
  • Evidence of applicable institutional permissions or ethical oversight.
  • Other materials reasonably necessary to clarify reported findings.

Requests for confidential or restricted information must be handled through appropriate, secure, and authorized procedures. Editors should not require disclosure that would violate participant consent, applicable laws, or institutional obligations.

When authors are unable to provide adequate supporting evidence or a reasonable explanation, the editorial team may take appropriate action under the journal's publication integrity procedures.

8. Responsibilities of Authors

Authors are responsible for the accuracy, integrity, accessibility statements, and lawful management of supporting data.

  • Retain relevant records in accordance with applicable institutional and legal requirements.
  • Provide an accurate Data Availability Statement.
  • Obtain required permissions before depositing or sharing data.
  • Verify that deposited files correspond to the reported findings.
  • Provide sufficient documentation to explain shared datasets.
  • Protect confidential and sensitive community information.
  • Disclose relevant access restrictions and third-party rights.
  • Respond appropriately to reasonable editorial requests for clarification.

9. Data Sharing and Publication Integrity

The availability of supporting data contributes to transparent and responsible scholarly communication. However, public data deposition is not a universal prerequisite for publication in JPPMI.

Manuscript evaluation considers whether supporting evidence is adequate for the claims presented, whether data restrictions are appropriately justified, and whether the data have been handled in accordance with applicable ethical and legal requirements.

Concerns involving data fabrication, falsification, misrepresentation, inappropriate disclosure, or unverifiable findings may be examined under the journal's Publication Ethics Policy and post-publication procedures.

10. Policy Application and Effective Date

The requirement to include a dedicated Data Availability Statement applies to manuscripts submitted to JPPMI on or after 1 September 2026.

Articles submitted or published before this date are not automatically considered non-compliant solely because they do not include a dedicated Data Availability Statement.

This prospective application does not prevent the journal from examining credible concerns regarding data accuracy, participant protection, confidentiality, or publication integrity in earlier articles.