Data Readiness Report

Rapid identification of column heterogeneity. In Sixth International Conference on Data Mining (ICDM’06) . IEEE, 159–170

Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, and Suresh Venkatasubramanian. 2006 · 2006

Earlier work this paper cites.

Handling imbalanced datasets: A review

Sotiris Kotsiantis, Dimitris Kanellopoulos, Panayiotis Pintelas, et al · 2006

Earlier work this paper cites.

Automating string processing in spreadsheets using input-output examples

Sumit Gulwani. 2011 · 2011

Earlier work this paper cites.

Efficient and robust automated machine learning. In Advances in neural information processing systems . 2962–2970

Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum, and Frank Hutter. 2015 · 2015

Earlier work this paper cites.

UCI Machine Learning Repository

Dheeru Dua and Casey Graff. 2017 · 2017

Earlier work this paper cites.

Data readiness levels

Original

Neil D Lawrence. 2017 · 2017

Earlier work this paper cites.

Data statements for natural language processing: Toward mitigating system bias and enabling better science

Emily M Bender and Batya Friedman. 2018 · 2018

Cited alongside, same era.

From theory to practice: A data quality framework for classification tasks

David Camilo Corrales, Agapito Ledezma, and Juan Carlos Corrales. 2018 · 2018

Cited alongside, same era.

Datasheets for datasets

Original

Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. 2018 · 2018

Cited alongside, same era.

The dataset nutrition label: A framework to drive higher data quality standards

Original

Sarah Holland, Ahmed Hosny, Sarah Newman, Joshua Joseph, and Kasia Chmielinski. 2018 · 2018

Cited alongside, same era.

FactSheets: Increasing trust in AI services through supplier’s declarations of conformity

Matthew Arnold, Rachel KE Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, A Mojsilović, Ravi Nair, K Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, et al · 2019

The ABC of Data: A Classifying Framework for Data Readiness. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer, 3–16

Laurens A Castelijns, Yuri Maas, and Joaquin Vanschoren. 2019 · 2019

Later among the works it cites.

Model cards for model reporting. In Proceedings of the conference on fairness, accountability, and transparency . 220–229

Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru. 2019 · 2019

Later among the works it cites.

Towards an End-to-End Human-Centric Data Cleaning Framework. In Proceedings of the Workshop on Human-In-the-Loop Data Analytics . 1–7

El Kindi Rezig, Mourad Ouzzani, Ahmed K Elmagarmid, Walid G Aref, and Michael Stonebraker. 2019 · 2019

Later among the works it cites.

Mithralabel: Flexible dataset nutritional labels for responsible data science. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 2893–2896

Chenkai Sun, Abolfazl Asudeh, HV Jagadish, Bill Howe, and Julia Stoyanovich. 2019 · 2019

Later among the works it cites.