Update 2021-09-30-data-maturity-open-source.md

_guides/2021-09-30-data-maturity-open-source.md

@@ -31,8 +31,6 @@ Data Maturity Framework | Summary
 ------------ | -------------
 [Data Orchard/DataKind UK’s Data Maturity Framework](https://drive.google.com/file/d/1wA_QKt49xzdxBguqQiFMu6VBgzEnCyZP/view) | Data Orchard’s and DataKind UK’s framework examines Data Maturity through seven lenses: leadership, skills, culture, data, tools, uses, and analysis.
 [CARE’s Responsible Data Maturity Model](https://www.ictworks.org/wp-content/uploads/2019/11/Responsible_Data_Maturity_Model_10-16-19.pdf) | CARE’s model diagnostic or baseline and planning tool for organizations to see where they are now, where they would like to be in 3 or 5 years and where they need to put more support/resources. In addition to examining elements, such as data and technology readiness, CARE emphasizes the need for “responsible” action to respond to the ethical, lega, social, and privacy-related challenges that come from using data. 
-[Center for Data Science and Public Policy at University of Chicago Data Maturity Framework](http://www.datasciencepublicpolicy.org/home/resources/datamaturity/) | University of Chicago’s framework examines data maturity through the lens of both technology and organizational readiness. 
-[Accion](https://www.accion.org/you-cant-go-digital-without-the-right-data-strategy) | Accion’s framework serves as a diagnostic tool that assesses organization’s current data maturity, set benchmarks, and plan a roadmap of strategic data initiatives that support digital transformation and priority business goals
 
 ## What is Open Source Software (OSS)?
 OSS is broadly defined as software that is freely distributed and uploaded to an accessible repository that provides source code. More specifically, code, data, or content has to be under an open source license, insofar that the code base is *accessible* at no cost (see [The Open Source Initiative](https://opensource.org/osd) for further definitions). It is also important to note that the Open Source model is decentralized and encourages open collaboration through its source code and documentation, which is freely available to the public. For a further discussion on OSS, see MERL’s guide on [Evaluating Open Source versus Proprietary Software](https://merlcenter.org/guides/evaluating-open-source-vs-proprietary-software/).
@@ -107,12 +105,11 @@ To summarize, this guide sought to delineate common approaches to data maturity
 * Digital Impact’s [Journey to Data Maturity](https://digitalimpact.io/assessing-your-place-on-the-data-maturity-journey-part-1/)
 * [MERL Tech Maturity Models](https://merltech.org/merl-tech-maturity-models/)
 * The DataKind UK team and Data Orchard created a [data maturity checklist](https://docs.google.com/spreadsheets/d/1q-Ts4rRPWeI7is9mnSPPwWPKTGGle8qNrEdIt1bzlD0/edit#gid=1292036421) to evaluate the data maturity of an organization.
-* Inciter’s series of [data maturity blog posts](https://www.inciter.io/data-maturity-part-i/)
 * [The FAIR Data Maturity Model](https://www.rd-alliance.org/system/files/FAIR%20Data%20Maturity%20Model_%20specification%20and%20guidelines_v1.00.pdf)
 * Ryu, Park, and Park's (2006) paper [“A Data Quality Management Maturity Model”](https://onlinelibrary.wiley.com/doi/abs/10.4218/etrij.06.0105.0026)
 * Olutayo's (2019) [comparative study of ICT maturity measurement models](https://www.researchgate.net/publication/336376028_A_Comparative_Study_of_ICT_Maturity_Measurement_Models)
 * CARE's [Responsible Data Maturity Model](https://careinternational.sharepoint.com/teams/Digital/Shared%20Documents/Forms/AllItems.aspx?id=%2Fteams%2FDigital%2FShared%20Documents%2FICT4D%2FArchive%2FResponsible%20Data%2FRD%20Maturity%20Model%2FDrafts%2FResponsible%20Data%20Maturity%20Model%2010%2E16%2E19%2Epdf&parent=%2Fteams%2FDigital%2FShared%20Documents%2FICT4D%2FArchive%2FResponsible%20Data%2FRD%20Maturity%20Model%2FDrafts&p=true&originalPath=aHR0cHM6Ly9jYXJlaW50ZXJuYXRpb25hbC5zaGFyZXBvaW50LmNvbS86YjovdC9EaWdpdGFsL0VlQVR5dUhNUVNGSW9pQnpnS0hWRkt3QnVSZ3dodlE4bUhnVGZsb0ZnbFMxV1E_cnRpbWU9bXA0ZzJjZkkyRWc) for Development and Humanitarian Organizations
 * Open Data Institute’s report on [designing sustainable data institutions](https://theodi.org/article/designing-sustainable-data-institutions-paper/?__cf_chl_jschl_tk__=9cfd9e9dbde34172a87a33366f60b25f3f0b3776-1612409221-0-Ae0nQoZoLUN8Or-QBXFIlOM0Lnsriy-kBhoIZmCvzLY6AhUrutpxZUKuDF7WsTkBaJJa-GZSXumzfJ4imfKekavjJHef-bGr8HF4jBRtPZmnueyfxtBweOkzJybOMAqtG305UWfawQBNX11D7JZcta_7SZKk-eN5EbZYHhOQ6sCVgEkDnZLBdh2SwQHwxr9e8jLgS0zyq-0J1HpP3xC2MYM9wkXyhbqLtTAnip32s0j5fqnbPgg0T0LMiUNjblDrnP4hFc44scDct1YgebrI-19k2OjybnrZKusSmiojbjQAJGsRD6U5uOmoEi7cS2j7ezkRZI4SEaaSYbX771XkOC1XSAX_OTEwU9iUhUmhUxGCoPebypWGy-NdqVYZD0L_bw)
 
 ### Acknowledgements
-This work would not have been possible without the contributions of colleagues and friends from the MERL Center and the broader open source community. Thank you, Mala Kumar, Linda Raftree, Stephanie Coker, Amy Sample Ward, and Kevin Kho for your insights and expertise! 
+This work would not have been possible without the contributions of colleagues and friends from the MERL Center, DataKind, and the broader open source community. Thank you, Mala Kumar, Linda Raftree, Stephanie Coker, Amy Sample Ward, Rachel Wells, and Kevin Kho for your insights and expertise!