Policy decision tree for academic digital collections

Koulouris, A; Kapidakis, S

dc.contributor.author	Koulouris, A	en
dc.contributor.author	Kapidakis, S	en
dc.date.accessioned	2014-03-01T02:44:54Z
dc.date.available	2014-03-01T02:44:54Z
dc.date.issued	2007	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32014
dc.subject	Academic Libraries	en
dc.subject	Digital Content	en
dc.subject	Information Management	en
dc.subject	Questionnaire Survey	en
dc.subject	Audio Video	en
dc.subject	Decision Tree	en
dc.subject.other	Analog to digital conversion	en
dc.subject.other	Data acquisition	en
dc.subject.other	Digital libraries	en
dc.subject.other	Information management	en
dc.subject.other	Academic digital collections	en
dc.subject.other	Copyright ownership	en
dc.subject.other	Reproduction policies	en
dc.subject.other	Decision trees	en
dc.title	Policy decision tree for academic digital collections	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-74851-9_47	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-74851-9_47	en
heal.publicationDate	2007	en
heal.abstract	We present the results of a questionnaire survey for the access and reproduction policies of 67 digital collections in 34 libraries (national, academic, public, special etc) from 13 countries. We examine and analyze the above policies in relation to specific factors, such as, the acquisition method, copyright ownership, library type (national, academic, etc.), content creation (digitized, born-digital) and content type (audio, video, etc.); how these factors affect the policies of the examined digital collections. Responses were received from a range of library sectors but by far the best responses came from academic libraries, in which we focus. We extract policy (access, reproduction) rules and alternatives according to these factors that lead to a policy decision tree on digital information management for academic libraries. The resulting decision tree is based on a policy model; the model and tree are divided into two parts: for digitized and born-digital content. © Springer-Verlag Berlin Heidelberg 2007.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-74851-9_47	en
dc.identifier.volume	4675 LNCS	en
dc.identifier.spage	481	en
dc.identifier.epage	484	en