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Topic

Risk Mitigation

Under risk mitigation actions, we include steps that individual academic institutions can take to mitigate, if not eliminate altogether, some of the risks posed by the collection of data and deployment of data analytics.

Contents

  • Three Categories Of Action

    The purpose of this document is to build on the Landscape Analysis by offering a roadmap of potential actions that stakeholders can use to chart both individual and collective responses.

  • Risk Mitigation

    Intro

    These actions are designed to be concrete, practical steps that any institution can begin taking immediately.

  • Risk Mitigation

    Conduct A Data Inventory

    A common-sense response to the increasing volumes of data collected across campuses and the rising deployment of data analytics tools.

  • Risk Mitigation

    Establish Campus Coordination Mechanisms

    Coordination mechanisms to adjudicate conflicts among departments and offices will become key as increasing volumes of data are collected across campuses and data analytics tools are deployed.

  • Risk Mitigation

    Revise Data Policies

    It is critical for data policies to be revised to address the myriad strategic questions raised by the proliferation of data and data analytics.

  • Risk Mitigation

    Engage in Open Procurement Practices

    An important area when institutions can assert control of data is through purchasing and procurement processes. These processes should be revisited and revised to ensure that they are transparent, competitive, and fully coordinated across the institution.

  • Update to the Roadmap for Action

    Acting in conditions of high uncertainty is particularly difficult. These are actions that libraries, in particular, and academic institutions, in general, could take regardless of the current situation.