The art of detecting data and image manipulation

Over the years, numerous initiatives have been launched to educate authors about the dangers of manipulating data and images in their journal submissions — in fact, we discuss two of our own programs in The importance of author education in this Ethics Special.

But most of all, we hope this article proves the starting point of a wider discussion on this topic — we want to hear your views. Please let us know your thoughts on how data and image manipulation can be better managed in your field by posting your comments below.

The International Federation of Clinical Chemistry and Laboratory Medicine se abre en una nueva pestaña/ventana (IFCC) offers the following guidance on graphics editing:

“For clarity, figures may be adjusted to better see the item being discussed as long as such changes do not obscure or eliminate information present in the original image. However any changes (brightness, contrast, color balance, etc.) must be made overall, and mentioned in the figure caption. An original image file must be retained in case it is required by the peer-review process. Do not remove or move anything in an image, or clean up an image.”

Tools to detect fraud at The Office of Research Integrity (ORI)

The Office of Research Integrity (ORI) is responsible for oversight reviews of investigations into allegations of research misconduct that involve research funded — at least in part — by agencies of the US Public Health Service.

Here, Dr Dahlberg guides us through some of those tools and processes, many of which are available to the public, and shares some useful tips from the team.

ORI’s forensic image tools

Forensic droplets: Firstposted on the ORI website in 2005, droplets are small desktop applications in Adobe Photoshop that automatically process files dragged onto the icon. They are available to download se abre en una nueva pestaña/ventana from ORI’s website and allow you to quickly examine the details of a scientific image in Photoshop while reading the publication in the full text (html) form or in the PDF form in an Internet Browser.

The droplets have a variety of uses and can help you to:

• Find out whether an image’s light or dark areas have been adjusted

• Evaluate whether two images may have been obtained from a single source

• Compare two images

Photoshop Actions: ORI also posted a number of Photoshop actions se abre en una nueva pestaña/ventana in 2005 and an advanced set se abre en una nueva pestaña/ventana of these has been developed for later Photoshop versions. The actions differ from the droplets in that they pause to allow the user to make a choice in how to proceed with the analysis of the image(s).

Other image tools used by the Division of Investigative Oversight (DIO):

Adobe Bridge: This software se abre en una nueva pestaña/ventana can generate libraries of images for rapid screening — images can be organized by date or file size, and the large thumbnail size allows careful viewing of each image. This is particularly useful when searching for sequential versions of files that have been modified, where they are likely to be very similar in size and their time-date stamps are closely spaced.

ImageJ: This program se abre en una nueva pestaña/ventana is available for a variety of platforms and can be freely downloaded from the National Institutes of Health se abre en una nueva pestaña/ventana (NIH) website. It is very versatile and the DIO finds it particularly useful for producing quantitative scans of gel bands, for example.

DIO has also discovered research misconduct in PowerPoint images by using the ‘Reset Picture’ tool. On numerous occasions, this has revealed the use of underlying images and, in several cases, those underlying images turned out to have been scanned from unrelated published papers. It is also possible to reset images in some PDF files viewed in Adobe Acrobat.

Examining questionable data

Review of questioned numbers: Research (1-4) has shown that when people are asked to write random numbers, they do a poor job. James Mosimann, a bio-statistician at ORI in the 1990s, recognized that if sets of numbers in respondents’ notebooks purportedly obtained by transcribing them from instruments such as scintillation counters or spectrophotometers were unaccompanied by the original data printouts, then they might have been fabricated. He also reasoned that while the digits on the left side of a number would be expected to be non-uniform (because they conveyed the results of the experiment) those in the right-most positions ought to be uniformly distributed. He developed a program to calculate chi-square values and corresponding probabilities based on the distribution of right-most digits in sets of numbers sufficiently large enough (>50 digits). Columns of numbers saved as a text file can be imported into his program. The DIO requires control data from similar unquestioned experiments carried out in the same laboratory. In quite a number of cases, while right-most digits from control numbers have been shown to be uniformly distributed, this has not been true of the questioned numbers.

Although not publicly available, the ORI has kindly agreed to provide a copy of James Mosimann's program to interested editors along with instructions. It is usable in Windows through version 7, but does not load in Windows 8. If you would like to receive a copy, please contact Dr Dahlberg at [email protected] se abre en una nueva pestaña/ventana.

Converting graphs back to spreadsheet values: ORI has frequently found it necessary to compare published graph data with raw notebook or computer data to determine if it has been reported accurately. Similarly, they can see if the published standard errors or standard deviations — expressed as error bars — are adequately reflective of the raw data. It is also often desirable to compare graphs published in different grant applications or papers that are labeled as coming from different experiments but which appear to have identical values. To accomplish this, DIO has used computer software (5) to convert images to spreadsheet values.

In several cases, ORI has determined that error bars seem improbably small, or of a fixed percentage of the experimental values. Fixed error bars at, say, 5 percent of the height of the histogram bars in the graphs, are not reflective of typical biological experiments, and warrant a review by the institution to determine if the experiment(s) were actually conducted as described.

Forensic review of sequestered digital data: In recent years, DIO has increasingly relied on the forensic examination of sequestered digital data, particularly of hard drives. This is reflective of increasing reliance by the scientific community on storage of data on computers rather than in notebooks. Whenever possible, ORI advises institutions to acquire forensic copies of digital data, which may involve the expertise of IT personnel and special hardware and software. There are multiple advantages to acquiring image copies in comparison to simply copying files onto CDs or other media; for example, time-date stamps are accurately preserved and forensic software can recover erased files as long as they have not been overwritten by a more recently saved file.

Eight tips to prevent Western Blot manipulation

6. Pay attention to the fraudulent use of the same loading controls in several different WBs.

7. Primary and secondary antibodies must be described in the Materials and Methods section. If the antibodies are not of commercial origin, their characterization must be described.

8. If there are doubts about a WB, do not hesitate to ask the authors to provide an image of the full WB.

The Guide for Authors of many journals do not carry any information around submitting Western Blots.Biochemical Pharmacology is one of the few that does. If a journal receives a large number of Western Blots, the editor might consider amending the Guide accordingly. Any editors interested in working together on a common text on Western Blots should contact me, Anthony Newman, at [email protected] se abre en una nueva pestaña/ventana.