ISD 2025 has two categories of Research Papers, Full and Short, as well as a category of Poster papers. For all those categories, ISD 2025 invites original papers, not currently under review or published elsewhere, describing results that broadly belong to the conference topics.

The ISD Code of Conduct follows the AIS Research Code of Conduct and we draw your attention to the principles:

• Do not plagiarize;
• Do not fabricate or falsify data, research procedures, or data analysis;
• Do not use other people’s unpublished writings, information, ideas, concepts or data that you may see as a result of processes such as peer review without permission of the author; and
• Do not make misrepresentations to editors and conference program chairs about the originality of papers you submit to them.

Authors should take care about the codes in this category of “recommended ethical behavior”:

• Give priority to public interest, particularly when designing or implementing new information systems or other designed artefacts;
• Respect the rights of research subjects, particularly their rights to information privacy, and to being informed about the nature of the research and the types of activities in which they will be asked to engage;
• Do not abuse the authority and responsibility you have been given as an editor, reviewer or supervisor, and ensure that personal relationships do not interfere with your judgment;
• Do not take or use published data of others without acknowledgement; do not take or use unpublished data without both permission and acknowledgement;
• Declare any material conflict of interest that might interfere with your ability to be objective and impartial when reviewing submissions, grant applications, software, or undertaking work from outside sources;
• Acknowledge the substantive contributions of all research participants, whether colleagues or students, according to their intellectual contribution; and
• Use archival material only in accordance with the rules of the archival source.

The following suggestions are provided on how to protect yourself from authorship disputes, missteps, mistakes, and even legal action:

• Keep the documentation and data necessary to validate your original authorship for each scholarly work with which you are connected;
• Do not republish old ideas of your own as if they were a new intellectual contribution;
• Settle data set ownership issues before data compilation; and
• Consult appropriate colleagues if in doubt.