# Data tools and techniques

**Source**: https://subjectguides.library.unsw.edu.au/data_tools/AI
**Parent**: https://subjectguides.library.unsw.edu.au/collectionupdates/collectionnews

UNSW Library provides access to a broad range of scholarly resources which are protected by copyright and are also subject to licence agreements that may place restrictions on how you use them.

The information presented here provides specific guidance for UNSW researchers and teaching academics.

Information specifically for students be found on the [Academic Skills for Current Students and AI](https://www.student.unsw.edu.au/skills/ai) page.

​For specific requests to use custom data please refer to the [individual publisher information](#Individual publisher information) below.

There are a number of general conditions that researchers and academics should be aware of:

- **Prohibition on Automated Scraping**

The use of automated means to access or gather information is expressly prohibited. This safeguard ensures compliance with ethical standards and legal boundaries.​

- **Source Content and Algorithm Protection**

Reverse engineering of source content or algorithms is strictly forbidden. By preserving the integrity and security of AI systems, we maintain trust and uphold best practices.​

- **Limitations on Training Data**

Publisher datasets containing scholarly content cannot be utilised for training AI systems. This restriction prevents unauthorised access to proprietary information and promotes responsible data usage.​

- **Publication Restrictions**

Any datasets generated during AI research cannot be included in published research outputs. This measure safeguards the originality and confidentiality of scholarly work. ​

- **Requirement to attribute use of AI​**

             Publisher require researchers to attribute any use of AI when submitting publications. ​

Individual publisher information below