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Classifications, Standards, Information Infrastructure

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information use based on knowledge produced by the systems ... involved in knowledge production (tools, artefacts) ... an installed base. Becomes visible upon ... – PowerPoint PPT presentation

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Title: Classifications, Standards, Information Infrastructure


1
Classifications, Standards, Information
Infrastructure
2
Classification and Social Reality
  • Classification systems are the material force of
    the social fact
  • Classification systems are part of the built
    information environment (information
    infrastructure)
  • Invisible (yet order human interaction)

3
Classification and Social Reality
  • Study of classification systems should focus on
  • distribution of ambiguity
  • how systems meet reality (biography
    limitations of systems)
  • studies of work-arounds (how users change
    systems)
  • information use based on knowledge produced by
    the systems
  • tools for classification (desktop folders, file
    cabinets, documents)

4
Classification vs. Standards
  • (Bowker Star, p. 13)
  • When systems of sorting out social and material
    reality, of classifying the world become
    standardized we have standards
  • Set of agreed-upon rules for the production of
    (textual or material) objects
  • Standard spans more than one community of
    practice or site of activity (persists over time
    connects social worlds)

5
Standards
  • Standards are used in making things work together
    over distance and heterogeneous metrics
  • Standards are often enforced by legal bodies
    mandated by professional organizations,
    manufacturers organizations, state, etc.
  • Standards that win may do so for a variety of
    reasons (build on existing base, have better
    marketing on the outset used by a community of
    gatekeepers who favor their use)
  • Standards are inert difficult and expensive to
    change

6
Infrastructures
  • Systems of classification (and of
    standardization) form a juncture of social
    organization, moral order, layers of technical
    integration
  • Invisible, not transparent, as they scale up they
    become increasingly complex
  • Methodology of building and use of these systems
    carefully designed

7
Infrastructures
  • databases, standards, instruction manuals
    systems of classification (and of
    standardization)
  • involved in knowledge production (tools,
    artefacts)
  • reflect the politics of work (overlapping
    interests of communities of practice)
  • definition (Bowker-Star, p. 35)
  • infrastructural inversion (Bowker Star, p.
    34)
  • design of large-scale information infrastructural
    systems (Bowker Star, p. 159-160)

8
Infrastructures
  • A historical process of development of tools,
    arranged for a wide variety of users, and made to
    work in concert
  • A practical match among routines of work
    practice, technology, and wider scale
    organizational and technical resources
  • A rich set of negotiated compromises ranging from
    epistemology to data entry that are both
    available and transparent to communities of users
  • A negotiated order in which all of the above,
    recursively, can function together

9
Infrastructure -def.
  • Embeddedness
  • Transparency
  • Reach or scope
  • Learned as part of membership
  • Links with conventions of practice
  • Embodiment of standards
  • Built on an installed base
  • Becomes visible upon breakdown
  • Is fixed in modular increments, not all at once
    or globally

10
Infrastructural System Design
  • Provide parallel or multiple-representational
    forms when faced with incompatible information or
    data structures among users or among those
    specifying the system (unitary categories of
    knowledge are futile)
  • Strike a balance in coding of information (too
    few categories will result in information that is
    not useful too many categories will result in
    bias, randomness of those filling out the forms)

11
Infrastructural System design
  • Imposed standards will produce work-arounds
    (informal responses to imposed standards include
    fitting, augmenting, and working around)
  • Fit with existing organizational information
    processing tailor the complexity of the
    representation to organizational scale
  • Match the structure of information system
    mediating among diverse participants with
    information needs that are as diverse (ICD
    repository normalizes forms fed by a widely
    distributed constituency)
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