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Implementing Faculty Information Systems

Implementing Faculty Information Systems. William K. Barnett, Pervasive Technology Institute, Indiana University, and The Indiana CTSI 2013 UCosmic Consortium Conference. What do I mean by Faculty Information Systems?.

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Implementing Faculty Information Systems

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  1. Implementing Faculty Information Systems William K. Barnett, Pervasive Technology Institute, Indiana University, and The Indiana CTSI 2013 UCosmic Consortium Conference

  2. What do I mean byFaculty Information Systems? • They manage information about people in academic institutions, usually faculty. • They include data on publications, grants, classes, affiliations, patents, creative works, etc. • They support individual and institutional goals

  3. Why am I presenting? • Indiana University was one of the original VIVO sites • We currently have 4 systems: VIVO, SciVal Experts, Pivot, and our Faculty Annual Review (FAR) system. • We have been finding our way amongst our many options – I am not an advocate of any one. • I’ve been working with the Clinical and Translational Science Awards Research Networking Group on this for the past 5 years

  4. What do stakeholders want? • Faculty and Staff – collaborator discovery? CV generation? Personal web pages? • Informationers – to manage information services and data, to create new tools and understand how they work. • Administrators – to understand the competitive landscape, to manage institutional processes, and to evaluate programs and faculty. • Providers – sustain their operations, support institutional efforts, and develop new services.

  5. Requirements • Meet Stakeholder Needs - what are the important problems? • Be Sustained Financially - where are the budgets? • Fit the Institutional Culture - how does the institution behave?

  6. Key implementation considerations • Good data are expensive, but that is the key institutional asset. It should receive institutional investment, and you should invest in making them high quality. • Standardized data deliver value across platforms, departments, and institutions, and standardization efforts like VIVO are critical. • Tools will come and go. If your tools talk to your data in standardized ways, you can more easily use your data and sustain operations.

  7. Tool Options: • Build and maintain (e.g., our FAR system) • Buy from industry (e.g., SciVal, Pivot, Sympletic) • Support community software (e.g., VIVO) • Leverage institutional Business Intelligence tools • Participate in ‘marketplaces’ (e.g., LinkedIn or ResearchGate).

  8. Data Options: • Ingest from internal systems (e.g., HR, research administration, course management systems) • Ingest from public data sources (e.g., PubMed, RePORTER) • Purchase from providers (e.g., publishers, business intelligence firms) • Manual ingest by faculty or staff.

  9. All institutions solve these problems uniquely, but all need to collaborate and share data to accomplish their goals. Thank you, Bill Barnett (barnettw@iu.edu)

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