%0 Journal Article %1 greenberg_information_2017 %A Greenberg, Jane %A Lin, Xia %A Chowdhury, Gobinda %A Oh, Sam %A Ortiz-Repiso, Virginia %A Sugimoto, Shigeo %D 2017 %K informationswissenschaft %R https://doi.org/10.9776/17404 %T Information science to data science : new directions for iSchools %U https://www.ideals.illinois.edu/handle/2142/96787 %X The iSchools represent the convergence of a range of disciplines (information/library science, computer science, communications, telecommunications, and information technology, while integrating aspects of social science, economics, and policy). The diversity of disciplines positions iSchools to contribute to data science research and workforce needs in both ordinary and novel ways. This workshop will provide a needed forum for international dialog on the iSchool community's engagement with data science. The goals are to: 1) share iSchool developments in data science education and research, 2) articulate unique contributions and opportunities for iSchools in the data science, and 3) lay a foundation for continued international dialog among iSchools pursuing or seeking to pursue data science. A final report will summarize position papers, synthesize workshop discussions, outline action items for continued iSchool work in this area. An overall output, will be the foundation for a cohesive framework to enable the iSchool community dialog on data science.

@article{greenberg_information_2017, abstract = {The iSchools represent the convergence of a range of disciplines (information/library science, computer science, communications, telecommunications, and information technology, while integrating aspects of social science, economics, and policy). The diversity of disciplines positions iSchools to contribute to data science research and workforce needs in both ordinary and novel ways. This workshop will provide a needed forum for international dialog on the iSchool community's engagement with data science. The goals are to: 1) share iSchool developments in data science education and research, 2) articulate unique contributions and opportunities for iSchools in the data science, and 3) lay a foundation for continued international dialog among iSchools pursuing or seeking to pursue data science. A final report will summarize position papers, synthesize workshop discussions, outline action items for continued iSchool work in this area. An overall output, will be the foundation for a cohesive framework to enable the iSchool community dialog on data science.}, added-at = {2018-11-04T17:00:37.000+0100}, author = {Greenberg, Jane and Lin, Xia and Chowdhury, Gobinda and Oh, Sam and Ortiz-Repiso, Virginia and Sugimoto, Shigeo}, biburl = {https://www.bibsonomy.org/bibtex/245b3dc45dbbb7c76d374365fefe2a847/lepsky}, copyright = {Copyright 2017 Jane Greenberg, Xia Lin, Gobinda Chowdhury, Sam Oh, Virginia Ortiz-Repiso, and Shigeo Sugimoto}, doi = {https://doi.org/10.9776/17404}, interhash = {d0554b9dfefde5dcc848ffc90fb674c4}, intrahash = {45b3dc45dbbb7c76d374365fefe2a847}, keywords = {informationswissenschaft}, language = {en}, shorttitle = {Information science to data science}, timestamp = {2018-11-04T17:00:37.000+0100}, title = {Information science to data science : new directions for {iSchools}}, url = {https://www.ideals.illinois.edu/handle/2142/96787}, year = 2017 }