Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50519

Doing Good with Data: Development of a Maturity Model for Data Literacy in Non-governmental Organizations

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dc.contributor.author Sternkopf, Helena
dc.contributor.author Mueller, Roland M.
dc.date.accessioned 2017-12-28T02:11:59Z
dc.date.available 2017-12-28T02:11:59Z
dc.date.issued 2018-01-03
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50519
dc.description.abstract Data literacy is the ability to use data productively and to think about it in a critically reflective way. However, can its complexity really be broken down to only this? Data literacy is one of the most important skills in the 21st century for organizations, employees, and citizens. We present a data literacy maturity model (DLMM) that was developed in the context of non-governmental organizations (NGOs). Based on the development of a preliminary maturity model, action design research (ADR) is used to develop the model throughout three iteration phases. The main contribution is a data literacy maturity grid that describes 11 data literacy competencies on four competence levels that is complemented by a self-assessment tool. The proposed maturity model should enhance the understanding of the required skills that are needed to kick off data projects, identify strengths and gaps, and thus empower to plan future data practices in accordance with predefined goals.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Organizational Issues of Business Intelligence, Business Analytics and Big Data
dc.subject Action Design Research, Data Literacy, Maturity Model, NGO, Social Change
dc.title Doing Good with Data: Development of a Maturity Model for Data Literacy in Non-governmental Organizations
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2018.630
Appears in Collections: Organizational Issues of Business Intelligence, Business Analytics and Big Data


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