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Good behavior : sharing, and reusing research video / Karen E. Adolph.

Title: Good behavior : sharing, and reusing research video / Karen E. Adolph.
Author(s)/Relationship(s): Adolph, Karen E. (Karen Elizabeth), speaker.
Publisher: [Bethesda, Md.] : [National Institutes of Health], [2015]
Related Names: National Institutes of Health (U.S.). Office of Behavioral and Social Sciences Research, sponsoring body.
Series: NIH behavioral and social sciences seminar
Description: 1 online resource (1 streaming video file (52 min.)) : color, sound.
Content Type: two-dimensional moving image
Media Type: computer
Carrier Type: online resource
Language: eng
Electronic Links: http://videocast.nih.gov/launch.asp?19363
MeSH Subjects: Infant Behavior
Behavioral Research
Information Dissemination
Video Recording
Lecture
Webcast
Summary: (CIT): NIH Behavioral and Social Sciences Seminar Series Behavior is infinitely rich. In natural and laboratory settings, children exhibit an extraordinary array of behaviors--visual exploration, facial expressions, speech, gestures, locomotion, and social interactions. Video captures much of this richness and complexity. Using a broad range of examples, I show how video makes the fleeting, ephemeral nature of behavior tangible and permanent, and how researchers can use video to find the extraordinary in the most ordinary behaviors and, conversely, to reveal hidden structure in the most extraordinary behaviors. Indeed, video is so rich that it can be reused to ask new questions beyond the scope of the original study. In this sense, all behavior is good behavior--valuable to other researchers and capable of yielding new insights into the causes and consequences of learning and development. Data reuse exploits the richness of video to increase scientific transparency, accelerate the pace of discovery, and facilitate understanding of the causes of health and disease. These ideas motivate the Databrary project (databrary.org), funded by NIH and NSF, which enables video sharing and reuse among developmental researchers. With Databrary, the contribution of a particular dataset will no longer depend on the private activities of one researcher, but will instead benefit from the imagination of many researchers with different viewpoints.
Notes: Closed-captioned.
NLM Unique ID: 101674295
Other ID Numbers: (DNLM)CIT:19363
(OCoLC)934742874

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