Falsification of Data definition

Falsification of Data means the representation, claim, or use of research, data, statistics, records, files, results, or information that is falsified, fabricated, fraudulently altered, or otherwise misappropriated or misrepresented.

Falsification of Data meanscreating, altering, recording, or omitting data in such a way that the data do not represent what actually occurred.Examples of falsification of data include, but are not limited to, the following:

Falsification of Data meanscreating, altering, recording, or omitting data in such a way that the data do not represent what actually occurred.Examples of falsification of data include, but are not limited to, the following:(A) Creating data that were neverobtained (e.g., making up data or results and recording or reporting them; reporting enrollment in a study of a subject who did not exist; forging the signature on an informed consent form);(B) Altering data by replacing originaldata with something different that does not accurately reflect study conduct or results (e.g., changing a laboratory measurement to a less extreme deviation from normal);(C) Recording or obtaining data froma specimen, sample, or test whose origin is not accurately described or in a way that does not accurately reflect the data (e.g., changing the date of a specimen, sample, or test; adding a substance not called for in the study to a specimen or sample; identifying a specimen, sample, or test as coming from a specific subject when it came from a source other than the subject);(D) Omitting data that were obtainedand would be appropriate for recording based on study design and conduct (e.g., not recording exclusionary medical history or prohibited concomitant medications or treatments; omitting data so that a statistical analysis yields a result that would not have been obtained had all data been analyzed).(ii) The term data includes, but is notlimited to, individual facts, tests, specimens, samples, results, statistics, items of information, or statements made by individuals.(2) Sponsors should not report errors(e.g., typographical errors, transposed numbers or characters) to FDA under paragraph (c) of this section.* * * * *PART 571—FOOD ADDITIVE PETITIONS21. The authority citation for 21 CFR part 571 continues to read as follows:Authority: 21 U.S.C. 321, 342, 348, 371;42 U.S.C. 241.22. Section 571.1 is amended by adding paragraph (l) to read as follows:§ 571.1 Petitions.* * * * *(l)(1) When a petitioner becomes aware of information indicating that any person has, or may have, engaged in the falsification of data in the course ofreporting study results, or in the course of proposing, designing, performing, recording, supervising, or reviewing studies conducted by or on behalf of the petitioner, relied on by the petitioner, or otherwise cited in the petition under this part, the petitioner must report this information to the Center for Food Safety and Applied Nutrition (Center). A petitioner must report...

Examples of Falsification of Data in a sentence

• Falsification of data collected for and presented as part of course requirements.

• Falsification of data so given or other derogatory information discovered as a result of this investigation may prevent employment, or if employed, may subject the employee to immediate dismissal.• Employment may be terminated by USM for any reason or no reason at any time without liability for wages or salary except such as may have been earned at the date of such termination.

• Falsification of data so given or other derogatory information discovered as a result of this investigation may prevent employment, or if employed, may subject the employee to immediate dismissal.

• Falsification of data: where data have been invented, altered, copied or obtained by unfair means.

• Falsification of data for eligibility, i.e., providing false information to receive WIC benefits for self or others.

• Falsification of data so given or other derogatory information discovered as a result of this investigation may prevent employment, or if employed, may subject the employee to immediate dismissal. Employment may be terminated by USM for any reason or no reason at any time without liability for wages or salary except such as may have been earned at the date of such termination.

• Falsification of data or other deceptive practices including false statements by omission or commission relevant to the certification process.

• Falsification of data is changing or making up data and presenting these data as though they were the result of an experiment, questionnaire, or fieldwork collection project.

• Falsification of data – ranging from fabrication to deceptive selective reporting, including the purposeful omission of conflicting data with the intent to falsify results;b.

• Breaches in confidentiality as defined by The Health Insurance Portability and Accountability Act of 1996 (HIPPA).• Concealing one’s error or those of another.• Falsification of data in patient records.• Omission of relevant data from patient records.• Verbal or physical abuse of a patient, visitor, faculty, staff, or peer.• Violation of the Drug and Alcohol Policy.