Curating identifiable data for sharing: The databrary project

Rick O. Gilmore, Karen E. Adolph, David S. Millman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Video captures the nuances and dynamics of human behavior more cheaply and completely than other recording methods. Although the detailed fidelity of video provides significant potential for reuse, this potential goes largely unrealized because videos are rarely shared. Moreover, the large size of video files, diversity of file formats, and incompatible software tools pose technical challenges, and recordings of faces and voices pose issues regarding participant identifiability. The Databrary (databrary.org) data library, based at NYU, has developed solutions for: securely sharing research video while respecting participants' privacy, storing and streaming shared video, and managing video datasets and associated metadata. Video data are big data, and interest in recording, analyzing, and sharing video for research, education, and policy purposes continues to grow. Databrary makes video data sharing convenient and attractive for researchers, thereby increasing transparency and enhancing the potential for discovery.

Original languageEnglish (US)
Title of host publication2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467390514
DOIs
StatePublished - Nov 17 2016
Event2016 New York Scientific Data Summit, NYSDS 2016 - New York, United States
Duration: Aug 14 2016Aug 17 2016

Publication series

Name2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings

Other

Other2016 New York Scientific Data Summit, NYSDS 2016
CountryUnited States
CityNew York
Period8/14/168/17/16

Fingerprint

Video streaming
Metadata
Transparency
Education
Big data

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Gilmore, R. O., Adolph, K. E., & Millman, D. S. (2016). Curating identifiable data for sharing: The databrary project. In 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings [7747817] (2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NYSDS.2016.7747817
Gilmore, Rick O. ; Adolph, Karen E. ; Millman, David S. / Curating identifiable data for sharing : The databrary project. 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings).
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Gilmore, RO, Adolph, KE & Millman, DS 2016, Curating identifiable data for sharing: The databrary project. in 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings., 7747817, 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2016 New York Scientific Data Summit, NYSDS 2016, New York, United States, 8/14/16. https://doi.org/10.1109/NYSDS.2016.7747817

Curating identifiable data for sharing : The databrary project. / Gilmore, Rick O.; Adolph, Karen E.; Millman, David S.

2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7747817 (2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Gilmore RO, Adolph KE, Millman DS. Curating identifiable data for sharing: The databrary project. In 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7747817. (2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings). https://doi.org/10.1109/NYSDS.2016.7747817