references.bib 27 KB

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  293. abstract = {We introduce a set of integrated developments in web application software, networking, data citation standards, and statistical methods designed to put some of the universe of data and data sharing practices on somewhat firmer ground. We have focused on social science data, but aspects of what we have developed may apply more widely. The idea is to facilitate the public distribution of persistent, authorized, and verifiable data, with powerful but easy-to-use technology, even when the data are confidential or proprietary. We intend to solve some of the sociological problems of data sharing via technological means, with the result intended to benefit both the scientific community and the sometimes apparently contradictory goals of individual researchers.},
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  325. day={01},
  326. volume={20},
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  328. pages={770-773},
  329. abstract={Computational techniques are central in many areas of neuroscience and are relatively easy to share. This paper describes why computer programs underlying scientific publications should be shared and lists simple steps for sharing. Together with ongoing efforts in data sharing, this should aid reproducibility of research.},
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  389. @INPROCEEDINGS{zooniverse,
  390. author = {{Borne}, K.~D. and {Zooniverse Team}},
  391. title = "{The Zooniverse: A Framework for Knowledge Discovery from Citizen Science Data}",
  392. keywords = {0800 EDUCATION, 0815 EDUCATION / Informal education, 1914 INFORMATICS / Data mining, 1942 INFORMATICS / Machine learning},
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  400. adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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  407. publisher = {Center for Open Science},
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  426. keywords = {data management, book, datalad, version control, teaching resource},
  427. title = {The DataLad Handbook},
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