000			03100nam a2200385 4500
001			OTLid0000913
003			MnU
005			20201105133416.0
006			m o d s
008			200924s2013 mnu o 0 0 eng d
020			_a
040			_aMnU _beng _cMnU
050		4	_aQA76
050		4	_aQA76
245	0	4	_aThe Discipline of Organizing _b4th Professional Edition _cRobert Glushko
264		2	_bOpen Textbook Library
264		1	_bUniversity of California, Berkeley
300			_a1 online resource
490	0		_aOpen textbook library.
505	0		_aI. Foundations for Organizing Systems -- II. Design Decisions in Organizing Systems -- III. Activities in Organizing Systems -- IV. Resources in Organizing Systems -- V. Resource Description and Metadata -- VI. Describing Relationships and Structures -- VII. Categorization: Describing Resource Classes and Types -- VIII. Classification: Assigning Resources to Categories -- IX. The Forms of Resource Descriptions -- X. Interactions with Resources -- XI. The Organizing System Roadmap -- XII. Case Studies
520	0		_aWe organize things, we organize information, we organize information about things, and we organize information about information. But even though "organizing" is a fundamental and ubiquitous challenge, when we compare these activities their contrasts are more apparent than their commonalities. We propose to unify many perspectives about organizing with the concept of an Organizing System, defined as an intentionally arranged collection of resources and the interactions they support. Every Organizing System involves a collection of resources, a choice of properties or principles used to describe and arrange resources, and ways of supporting interactions with resources. By comparing and contrasting how these activities take place in different contexts and domains, we can identify patterns of organizing. We can create a discipline of organizing in a disciplined way. The 4th edition builds a bridge between organizing and data science. It reframes descriptive statistics as organizing techniques, expands the treatment of classification to include computational methods, and incorporates many new examples of data-driven resource selection, organization, maintenance, and personalization. It introduces a new "data science" category of discipline-specific content, both in the chapter text and in endnotes, marked with [DS] in editions that contain endnotes.
542	1		_fAttribution-NonCommercial
546			_aIn English.
588	0		_aDescription based on print resource
650		0	_aInformation technology _vTextbooks
650		0	_aComputer Science _vTextbooks
650		0	_aDatabases _vTextbooks
700	1		_aGlushko, Robert J. _eauthor
710	2		_aOpen Textbook Library _edistributor
856	4	0	_uhttps://open.umn.edu/opentextbooks/textbooks/913 _zAccess online version
999			_c20247 _d20247