Tips NAS Panel on data integrity: It is a good idea

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Tips NAS Panel on data integrity: It is a good idea -

A National Academies panel that was asked to come up with data handling guidelines to deal to concerns about images and applications to share data trafficked released a report that only offers clear and general principles. The report, released this morning, called disciplines to work out the details themselves.

A trigger of the study was faking stem cells given by the South Korean researcher Hwang Woo Suk, which included cut-paste images of cells in a 05 article in Science . Faced with other examples of data manipulation, a group of newspaper editors asked Academies advice in 06. The Academies convened 17 experts from various fields to discuss issues of processing, sharing, and search data archiving.

their findings boil down to three "principles" that are as insightful as calling Monday the first day of the work week: researchers are responsible for ensuring the integrity of their data; Data from published documents should be accessible to the public; and the data must be properly archived. The report offers 11 recommendations urging scientists, institutions, newspapers, and other stakeholders to develop standards and provide adequate training. Suggestions include some new points-for example, sharing of data should include not only raw data but the computer programs used to analyze it.

The problem is that every time a member of the panel made a detailed proposal, another member would say that it would not work in their field, says co-president Phillip Sharp, a biologist molecular Massachusetts Institute of Technology in Cambridge. So the committee could not be too specific, said Sharp.

Journal editors seem a little disappointed. The National Institutes of Health Kenneth Yamada, an editor of The Journal of Cell Biology , who worked on ways to detect manipulated images that other newspapers followed, the principles called the report "an excellent basis on which the fields can build. "But he suggests a" Phase II "Academy study focusing on digital imaging in biology.

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