Content Mining & AI Access Policy

The Indonesian Journal of Agrarian Law supports the use of computational analysis, text and data mining (TDM), and Artificial Intelligence (AI) to advance research in agrarian, land, and environmental law. This policy establishes the guidelines for automated systems, researchers, and AI companies seeking to access, mine, or utilize the content published in this journal.

1. Open Access and Licensing
All articles published in The Indonesian Journal of Agrarian Law are licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License. Content miners and AI developers are permitted to access and analyze our published content in accordance with this open license.

2. Permitted Uses
Under the CC BY-SA 4.0 license, users are permitted to:

  • Conduct text and data mining (TDM) on the journal’s archives.

  • Use the content for research, development, and the training of AI models.

  • Create derivative datasets for academic or commercial purposes.

3. Conditions for Access and Use
To ensure ethical and responsible use of the journal’s content, the following conditions apply:

  • Attribution: Any use of the content must include proper attribution to the original authors, the article's DOI, and The Indonesian Journal of Agrarian Law as the original publisher.

  • ShareAlike: Any public distribution of derivative datasets created from our content must be licensed under the identical CC BY-SA 4.0 terms.

  • Respect for Indigenous and Community Data: Given the journal's focus on agrarian law, content miners must pay special attention to data related to indigenous peoples and local communities. Any data extracted must be used in a manner that respects the CARE principles (Collective Benefit, Authority to Control, Responsibility, and Ethics) as outlined in our Data Sharing Policy.

  • System Integrity: Automated harvesting (scraping/crawling) must be conducted in a way that does not compromise the security, functionality, or availability of the journal’s website.

4. Technical Access
For efficient and structured content mining, the journal provides metadata through the OAI-PMH protocol. The OAI endpoint is available at: https://journal.unnes.ac.id/journals/jal/oai.