Toward Open Behavioral Science

Karen E. Adolph; Rick O. Gilmore; Clinton Freeman; Penelope Sanderson; David Millman

doi:10.1080/1047840X.2012.705133

Toward Open Behavioral Science

Karen E. Adolph, Rick O. Gilmore, Clinton Freeman, Penelope Sanderson, David Millman

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	244-247
Number of pages	4
Journal	Psychological Inquiry
Volume	23
Issue number	3
DOIs	https://doi.org/10.1080/1047840X.2012.705133
State	Published - Jul 2012

All Science Journal Classification (ASJC) codes

Psychology(all)

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10.1080/1047840X.2012.705133

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@article{465c8cb0e4af46cdbe8a38faaded59f5,

title = "Toward Open Behavioral Science",

author = "Adolph, {Karen E.} and Gilmore, {Rick O.} and Clinton Freeman and Penelope Sanderson and David Millman",

note = "Funding Information: This work was supported by National Institute of Health and Human Development Grant R37-HD33486 to Karen E. Adolph and National Science Foundation award 1147440 to Rick O. Gilmore. Funding Information: Why share? One good reason to share data is that everyone—researchers, funders, the public—gets a bigger bang for their buck. Data sharing accelerates discovery. Much more rapid progress would be made if researchers could build on earlier efforts by analyzing videos in ways unimagined by the original researcher; if researchers could browse for examples to stimulate new work or to train and educate students; and if researchers could gather preliminary data, expand samples, run replications, examine cohort effects, and assess effects of geographic location or population using data in a shared archive. Researchers could use tools contributed to a shared repository to enhance understanding of their own data and use shared data to test their analytic tools. They could collaborate with like-minded researchers in subareas of interest to create corpora with shared coding schemes and analysis tools (e.g., TalkBank). A history of data sharing and a plan to commit data to an open repository would enhance the likelihood of Federal funding. Researchers{\textquoteright} work would receive more attention and citations by users, and their data would survive in useable form beyond their lifetimes. These are not our claims, although we endorse them. They come from the NIH Data Sharing Workbook (National Institutes of Health, 2004) and the NSF 2011 National Science Board report on data sharing (National Science Foundation, 2011).",

year = "2012",

month = jul,

doi = "10.1080/1047840X.2012.705133",

language = "English (US)",

volume = "23",

pages = "244--247",

journal = "Psychological Inquiry",

issn = "1047-840X",

publisher = "Routledge",

number = "3",

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TY - JOUR

T1 - Toward Open Behavioral Science

AU - Adolph, Karen E.

AU - Gilmore, Rick O.

AU - Freeman, Clinton

AU - Sanderson, Penelope

AU - Millman, David

N1 - Funding Information: This work was supported by National Institute of Health and Human Development Grant R37-HD33486 to Karen E. Adolph and National Science Foundation award 1147440 to Rick O. Gilmore. Funding Information: Why share? One good reason to share data is that everyone—researchers, funders, the public—gets a bigger bang for their buck. Data sharing accelerates discovery. Much more rapid progress would be made if researchers could build on earlier efforts by analyzing videos in ways unimagined by the original researcher; if researchers could browse for examples to stimulate new work or to train and educate students; and if researchers could gather preliminary data, expand samples, run replications, examine cohort effects, and assess effects of geographic location or population using data in a shared archive. Researchers could use tools contributed to a shared repository to enhance understanding of their own data and use shared data to test their analytic tools. They could collaborate with like-minded researchers in subareas of interest to create corpora with shared coding schemes and analysis tools (e.g., TalkBank). A history of data sharing and a plan to commit data to an open repository would enhance the likelihood of Federal funding. Researchers’ work would receive more attention and citations by users, and their data would survive in useable form beyond their lifetimes. These are not our claims, although we endorse them. They come from the NIH Data Sharing Workbook (National Institutes of Health, 2004) and the NSF 2011 National Science Board report on data sharing (National Science Foundation, 2011).

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SN - 1047-840X

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Toward Open Behavioral Science

All Science Journal Classification (ASJC) codes

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