@incollection{freitas_big_2016,
	title = {Big {Data} {Curation}},
	isbn = {978-3-319-21568-6 978-3-319-21569-3},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-21569-3_6},
	abstract = {With the emergence of data environments with growing data variety and volume, organizations need to be supported by processes and technologies that allow them to produce and maintain high-quality data facilitating data reuse, accessibility, and analysis. In contemporary data management environments, data curation infrastructures have a key role in addressing the common challenges found across many different data production and consumption environments. Recent changes in the scale of the data landscape bring major changes and new demands to data curation processes and technologies. This chapter investigates how the emerging big data landscape is defining new requirements for data curation infrastructures and how curation infrastructures are evolving to meet these challenges. Different dimensions of scaling-up data curation for big data are described, including emerging technologies, economic models, incentive models, social aspects, and supporting standards. This analysis is grounded by literature research, interviews with domain experts, surveys, and case studies and provides an overview of the state-of-the-art, future requirements and emerging trends in the field.},
	language = {en},
	urldate = {2017-10-10TZ},
	booktitle = {New {Horizons} for a {Data}-{Driven} {Economy}},
	publisher = {Springer, Cham},
	author = {Freitas, André and Curry, Edward},
	year = {2016},
	doi = {10.1007/978-3-319-21569-3_6},
	pages = {87--118}
}

{"_id":"kNHHnaZ4zwJ7MTAAi","bibbaseid":"freitas-curry-bigdatacuration-2016","downloads":0,"creationDate":"2018-04-30T02:45:37.248Z","title":"Big Data Curation","author_short":["Freitas, A.","Curry, E."],"year":2016,"bibtype":"incollection","biburl":"https://bibbase.org/zotero/cisnerosheredia","bibdata":{"bibtype":"incollection","type":"incollection","title":"Big Data Curation","isbn":"978-3-319-21568-6 978-3-319-21569-3","url":"https://link.springer.com/chapter/10.1007/978-3-319-21569-3_6","abstract":"With the emergence of data environments with growing data variety and volume, organizations need to be supported by processes and technologies that allow them to produce and maintain high-quality data facilitating data reuse, accessibility, and analysis. In contemporary data management environments, data curation infrastructures have a key role in addressing the common challenges found across many different data production and consumption environments. Recent changes in the scale of the data landscape bring major changes and new demands to data curation processes and technologies. This chapter investigates how the emerging big data landscape is defining new requirements for data curation infrastructures and how curation infrastructures are evolving to meet these challenges. Different dimensions of scaling-up data curation for big data are described, including emerging technologies, economic models, incentive models, social aspects, and supporting standards. This analysis is grounded by literature research, interviews with domain experts, surveys, and case studies and provides an overview of the state-of-the-art, future requirements and emerging trends in the field.","language":"en","urldate":"2017-10-10TZ","booktitle":"New Horizons for a Data-Driven Economy","publisher":"Springer, Cham","author":[{"propositions":[],"lastnames":["Freitas"],"firstnames":["André"],"suffixes":[]},{"propositions":[],"lastnames":["Curry"],"firstnames":["Edward"],"suffixes":[]}],"year":"2016","doi":"10.1007/978-3-319-21569-3_6","pages":"87--118","bibtex":"@incollection{freitas_big_2016,\n\ttitle = {Big {Data} {Curation}},\n\tisbn = {978-3-319-21568-6 978-3-319-21569-3},\n\turl = {https://link.springer.com/chapter/10.1007/978-3-319-21569-3_6},\n\tabstract = {With the emergence of data environments with growing data variety and volume, organizations need to be supported by processes and technologies that allow them to produce and maintain high-quality data facilitating data reuse, accessibility, and analysis. In contemporary data management environments, data curation infrastructures have a key role in addressing the common challenges found across many different data production and consumption environments. Recent changes in the scale of the data landscape bring major changes and new demands to data curation processes and technologies. This chapter investigates how the emerging big data landscape is defining new requirements for data curation infrastructures and how curation infrastructures are evolving to meet these challenges. Different dimensions of scaling-up data curation for big data are described, including emerging technologies, economic models, incentive models, social aspects, and supporting standards. This analysis is grounded by literature research, interviews with domain experts, surveys, and case studies and provides an overview of the state-of-the-art, future requirements and emerging trends in the field.},\n\tlanguage = {en},\n\turldate = {2017-10-10TZ},\n\tbooktitle = {New {Horizons} for a {Data}-{Driven} {Economy}},\n\tpublisher = {Springer, Cham},\n\tauthor = {Freitas, André and Curry, Edward},\n\tyear = {2016},\n\tdoi = {10.1007/978-3-319-21569-3_6},\n\tpages = {87--118}\n}\n","author_short":["Freitas, A.","Curry, E."],"key":"freitas_big_2016","id":"freitas_big_2016","bibbaseid":"freitas-curry-bigdatacuration-2016","role":"author","urls":{"Paper":"https://link.springer.com/chapter/10.1007/978-3-319-21569-3_6"},"downloads":0},"search_terms":["big","data","curation","freitas","curry"],"keywords":[],"authorIDs":[],"dataSources":["26cFrftHvkZZv3Mp2"]}