Difference between revisions of "Portal:FACES"
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! style="background:# | ! style="background:#7FACBC; color:white; border:solid thin black;" |CoLab Portal for FACES | ||
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FACES is a lifespan digital collection of adult emotional facial stimuli. It contains two sets of images of naturalistic faces of 171 women and men displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness | FACES is a lifespan digital collection of adult emotional facial stimuli. It contains two sets of images of naturalistic faces of 171 women and men displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. | ||
The main focus of the project – next to the integration of FACES as an online open source solution in the eSciDoc architecture - would be to add new attributes to single pictures in form of standardized metadata (e.g METS) and to implement a user management for different usage rights.<br />Therefore, the application has to be flexible to integrate further data like the outcome of the rating study. | |||
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<div align="center">[[File:ESciDoc.Faces.png|link=http://faces.mpdl.mpg.de/faces/]]</div align="center"> | <div align="center">[[File:ESciDoc.Faces.png|link=http://faces.mpdl.mpg.de/faces/]]</div align="center"> | ||
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! style="background:# | ! style="background:#7FACBC; color:white; border:solid thin black;" |FACES Partner | ||
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FACES is a collaboration of the MPDL with the [http://www.mpib-berlin.mpg.de/de Max Planck Institute for Human Development], Center for Lifespan Psychology, Berlin, Germany. | |||
The project coordination is organized by Ursula Flitner, head of the institute’s library. | |||
The content of FACES was collected between 2005 and 2007 by Ulman Lindenberger, Natalie Ebner and Michaela Riediger. | |||
The content model of the FACES software design was influenced by the predecessor database developed at the institute by Matthias Bindernagel & Natalie Ebner. | |||
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! style="background:# | ! style="background:#7FACBC; color:white; border:solid thin black;" | Functionalities and Concepts | ||
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*Creation and export of public and private subsets for the analysis of special research questions | *Creation and export of public and private subsets for the analysis of special research questions | ||
*Management of an unlimited quantity of attributes per picture (e.g. adding new attributes based on the output of rating studies) | *Management of an unlimited quantity of attributes per picture (e.g. adding new attributes based on the output of rating studies) | ||
*User and rights management to realize different access rights | *User and rights management to realize different access rights | ||
<center>[[Faces_Functionalities|'''Functionalities''']] [[Faces_Data_Model|'''Data Model''']] [[Faces_Content_Models|'''Content Models''']]</center> | |||
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! style="background:# | ! style="background:#7FACBC; color:white; border:solid thin black;" | FACES Support | ||
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Please visit our [[ | Please visit our [[Faces_Support|'''FACES Support Page''']] to find further information on FACES. | ||
To get access to FACES please see and fill out the [http://colab.mpdl.mpg.de/mediawiki/File:FACES_Release_Agreement.pdf '''Release Agreement''']. | |||
You want to contact us directly? Feel free to email the [mailto: | You want to contact us directly? Feel free to email the [mailto:faces-support@gwdg.de ''' FACES Support Team''']!</div> | ||
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[[Category:Faces]] | [[Category:Faces]] | ||
[[Category:Portal|Faces]] | |||
[[Category:Main Topics]] |
Latest revision as of 09:03, 13 March 2014
CoLab Portal for FACES |
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FACES is a lifespan digital collection of adult emotional facial stimuli. It contains two sets of images of naturalistic faces of 171 women and men displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness.
The main focus of the project – next to the integration of FACES as an online open source solution in the eSciDoc architecture - would be to add new attributes to single pictures in form of standardized metadata (e.g METS) and to implement a user management for different usage rights.
Therefore, the application has to be flexible to integrate further data like the outcome of the rating study.
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