Developing a Data Culture

Henderson, Angela E.; Powers, Kristina

doi:10.4324/9781315171326-1

Cited by 3 publications

(4 citation statements)

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“…In the recent past, data from standardised testing 3 on a global scale have been used to measure the success of students, teachers, and schools—and even to mark global competitiveness (or lack thereof) at a country level. According to Henderson and Powers [131] , data in schools can improve the return on investment (ROI) especially on learning resources, technology investments, and the development of best practices.…”

Section: The Intersection Of People Technology and Data To Improve Ed...mentioning

confidence: 99%

Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review

Mhlongo

Mbatha

Ramatsetse

et al. 2023

Heliyon

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Section: The Intersection Of People Technology and Data To Improve Ed...mentioning

confidence: 99%

Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review

Mhlongo

Mbatha

Ramatsetse

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…As Henderson and Powers (2018) note,At the core level, a data culture focuses on the use of information to make sound decisions that help an institution attain a competitive gain. It is not a focus on numbers, but rather on effective use of resources to make advantageous decisions.…”

Section: Theoretical Perspectivesmentioning

confidence: 99%

From Democratic to “Need to Know”: Linking Distributed Leadership to Data Cultures in the Florida College System

et al. 2020

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This multiple case study examines the extent and ways in which leaders and administrators in Florida College System (FCS) institutions engage in distributed leadership through data sharing with frontline staff. Based on focus groups and individual interviews with administrators, faculty, and staff (659 participants) from 21 state colleges, we found a continuum of three data cultures ranging from democratic data cultures to blended data cultures to “need to know” data cultures. We triangulate these results with survey data from FCS institutional leaders and find considerable variation in the extent of data sharing and perceptions of effectiveness of institutional data use. Institutions with democratic data cultures tended to have distributed leadership that encouraged information sharing and collaboration among staff to use data to inform change. Need-to-know institutions faced challenges, including weak data quality, concerns about adequate time and resources among staff for reviewing data, and perceptions that staff lack data literacy skills.

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“…Related to silos, campus culture and data climate can have a considerable impact. Henderson and Powers (2018) found that HEIs are very susceptible to adverse challenges when a negative data culture exists. Culture can inhibit the ability to link data to outcomes, breed issues of distrust, or make decisions in a vacuum with limited visibility into the totality of data around a given topic.…”

Section: Collaboration Is No Longer An Optionmentioning

confidence: 99%

“…Culture can inhibit the ability to link data to outcomes, breed issues of distrust, or make decisions in a vacuum with limited visibility into the totality of data around a given topic. Likewise, Henderson and Powers (2018) noted HEIs could determine if they had successful data cultures when the community openly and freely shared data, understood the intrinsic value of data resources and structures, worked with data that are trusted, and ultimately made strategic decisions by clearly leveraging data. Simon, Chen, and Cho (2018) also recognize that campus culture and climate around data can be instrumental to successful analytic deployment and recommend institutions conduct maturity assessments and stakeholder interviews to highlight challenges (Zeid, 2014).…”

Section: Collaboration Is No Longer An Optionmentioning

confidence: 99%

Institutional Research and Information Technology: Collaborating for Success

Simon

2020

New Drctns for Instit Rsrch

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Information Technology (IT) and Institutional Research (IR) units working together with planning, a focus on collaboration, and a willingness to create partnerships can help accelerate their institution's efforts to improve the data landscape. This chapter includes an overview of the challenges facing these two functional areas, the benefits of a new way of operating together, and the steps leaders from both IR and IT can take to work together to build new relationships across units and their staff. This work derives from a focus on values, beliefs, and actions. Taken together, these strategies, if implemented with care, can establish a solid foundation to support the need to expand, improve, and mature IR's role in the data landscape.

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Developing a Data Culture

Cited by 3 publications

References 0 publications

Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review

Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review

From Democratic to “Need to Know”: Linking Distributed Leadership to Data Cultures in the Florida College System

Institutional Research and Information Technology: Collaborating for Success

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