Archiving Policy

Archiving Policy

Self-Archiving Policy

In accordance with the principals of GREEN OPEN ACCESS PUBLICATION, International Journal For Global Academic & Scientific Research (IJGASR) permits its Authors to self-archive the submitted version of the article, the accepted (peer-reviewed) version of the article, and Copyedited Galley (Published) version of article at any time after its release.

Journal Archiving Procedure

Through normal server backup methods, the International Journal For Global Academic & Scientific Research (IJGASR) will self-archive its volume in 'as-is' form, with each issue on its own internet server/URL. The third-party partner chosen for this service is Nirmal Integrated Consultancy (Team-NIC), who will archive the volumes on a web-based server that will be accessible from anywhere in the world. Volumes from the past would be available online or on demand. After payment of relevant fees and levies, print editions of any volume will be available on demand (with the exception of the Journal, which has only an E-ISSN).

In addition to self-archiving, the International Journal For Global Academic & Scientific Research (IJGASR) uploads its material to a number of independent third-party archivers, including PKP Private LOCKSS Network (PKP-PN), CLOCKSS & OCLC World Cat Digital Collection Gateway, and others. Even though the journal is no longer published or available on its official website, access to the material has been preserved.

Third-party archives have their own regulations and procedures that regulate access to them. The official website of the International Journal For Global Academic & Scientific Research (IJGASR) will have information about these archives as well as links to them.

Retraction/Withdrawal

January 22, 2024

Dear IJGASR Readers,

We regret to inform you that the article titled “Automated Passive Income from Stock Market Using Machine Learning and Big Data Analytics with Security Aspects," published in Volume 2, Issue 4, 2023, with DOI https://doi.org/10.55938/ijgasr.v2i4.63 has been retracted. The retraction is based on the request of the author, Dr. Gaurav Sharma, as it he along with his team is willing to expand his research further & want to publish with more research findings.

After thorough examination and review of the article, Editorial team has decided to consider request for the retraction/withdrawal of article

We apologize for any inconvenience or confusion this may have caused and reaffirm our commitment to upholding the integrity of our publication. We have termed this decision as an "Retraction" as per our Article_Correction_Retraction_Misconduct_Policy We thank the author for bringing this matter to our attention and for taking the appropriate steps to retract the article.

Sincerely,
Editorial Team, IJGASR

Retraction/Withdrawal

January 22, 2024

Dear IJGASR Readers,

It is with regret that we announce the retraction of the article titled "Consumer Buying Behavior and ML: How Machine Learning and Analytics can Utilize Consumer Behavior Data for Better Customer Service," which was published in Volume 2, Issue 4, 2023.

This decision follows discussions with the authors, copy editor, and the internal editorial board regarding improper use of other work and unjustified reasons. The editorial board has unanimously decided to retract the article in accordance with our Article Correction, Retraction & Misconduct Policy.

We sincerely apologize for any inconvenience or confusion this may have caused and want to reiterate our commitment to maintaining the integrity of our publication. We have termed this decision as an "Retraction" as per our Article_Correction_Retraction_Misconduct_Policy We appreciate the author's cooperation in bringing this matter to our attention and taking the necessary steps to retract the article.

Sincerely,
Editorial Team, IJGASR

Make a Submission

Keywords

Current Issue

Information

Announcements

Developed By

Announcements

Retraction/Withdrawal

Retraction/Withdrawal

Browse