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ETFLIN is committed to promoting the widest possible use and dissemination of research findings. To this end, we support Text and Data Mining (TDM) as an essential tool for researchers and scholars to extract insights and knowledge from large volumes of data. Therefore, we allow and encourage TDM of articles published in ETFLIN, subject to certain conditions.

Text and Data Mining (TDM) is a process of automatically extracting valuable insights and knowledge from large volumes of data. This process involves using automated tools and algorithms to analyze and extract information from digital content, including research articles.

The following conditions apply to TDM of articles published in ETFLIN:

1. Non-commercial use: TDM of articles published in ETFLIN is allowed for non-commercial research purposes only. Any commercial use of TDM results derived from our articles requires explicit permission from ETFLIN.

2. Attribution: All TDM research based on articles published in ETFLIN must include proper attribution to the original author(s) and the source of the work.

3. No alteration of content: TDM research must not alter or modify the content of the original article in any way.

4. Compliance with ethical guidelines: All TDM research based on articles published in ETFLIN must comply with ethical guidelines and regulations, including those related to data privacy and confidentiality.

5. Archiving: We will ensure that all articles published in our journal are archived and preserved in a secure and accessible manner, to ensure long-term access to the research findings for TDM purposes.

We believe that TDM is an essential tool for advancing scientific knowledge and promoting research collaborations. Therefore, we support the use of TDM and encourage researchers to use TDM tools to analyze and extract insights from articles published in ETFLIN.

We will periodically review this policy to ensure that it remains up-to-date and aligned with best practices in TDM and open access publishing. By adopting this policy, we hope to promote the use of TDM and encourage researchers to use our articles to generate new insights and knowledge that can benefit society as a whole.

We Support OAI-PMH

In addition to supporting TDM, ETFLIN also provides access to our articles through the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). OAI-PMH is a widely adopted standard for providing metadata about research articles, which enables researchers to access and download large volumes of articles for TDM purposes.

ETFLIN implements the OAI-PMH protocol to enable researchers to access and download metadata about our articles, such as author names, titles, abstracts, and publication dates. This enables researchers to identify and access the articles that are most relevant to their research questions, and to extract insights and knowledge from large volumes of data.

By implementing the OAI-PMH protocol, ETFLIN demonstrates our commitment to providing open access to research findings and supporting TDM. We believe that by enabling researchers to access and download large volumes of articles, we can facilitate new discoveries and insights that can benefit society as a whole.

We encourage researchers to use the OAI-PMH protocol to access and download metadata about articles published in ETFLIN for TDM purposes, and we welcome feedback from researchers about how we can improve our implementation of this protocol to better support their research needs.

Example: https://etflin.com/sciphar/oai

Text and data mining TDM Open access OAI-PMH Metadata