Rahman P, Nandi A and Hebert C. (2020). Amplifying Domain Expertise in Clinical Data Pipelines. JMIR Medical Informatics. 10.2196/19612. 8:11. (e19612).

https://medinform.jmir.org/2020/11/e19612

Lukyanenko R and Parsons J. (2019). Beyond Micro-Tasks. Crowdsourcing. 10.4018/978-1-5225-8362-2.ch076. (1510-1535).

http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8362-2.ch076

Lukyanenko R and Parsons J. (2019). Beyond Micro-Tasks. Social Entrepreneurship. 10.4018/978-1-5225-8182-6.ch072. (1403-1428).

http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8182-6.ch072

Rahman P, Hebert C and Nandi A. (2018). ICARUS. Proceedings of the VLDB Endowment. 11:13. (2263-2276). Online publication date: 1-Sep-2018.

/doi/10.5555/3275366.3284970

Rahman P, Hebert C and Nandi A. (2019). ICARUS. Proceedings of the VLDB Endowment. 11:13. (2263-2276). Online publication date: 1-Sep-2018.

https://doi.org/10.14778/3275366.3284970

Parsons J and Lukyanenko R. (2018). Beyond Micro-Tasks. Journal of Database Management. 29:1. (1-22). Online publication date: 1-Jan-2018.

https://doi.org/10.4018/JDM.2018010101

Weng X, Li G, Hu H and Feng J. Crowdsourced Selection on Multi-Attribute Data. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. (307-316).

https://doi.org/10.1145/3132847.3132891

Jain A, Sarma A, Parameswaran A and Widom J. (2017). Understanding workers, developing effective tasks, and enhancing marketplace dynamics. Proceedings of the VLDB Endowment. 10:7. (829-840). Online publication date: 1-Mar-2017.

https://doi.org/10.14778/3067421.3067431

Morishima A, Fukusumi S and Kitagawa H. (2016). CyLog/Game aspect. Information Systems. 62:C. (170-184). Online publication date: 1-Dec-2016.

https://doi.org/10.1016/j.is.2016.01.004

Chittilappilly A, Chen L and Amer-Yahia S. (2016). A Survey of General-Purpose Crowdsourcing Techniques. IEEE Transactions on Knowledge and Data Engineering. 28:9. (2246-2266). Online publication date: 1-Sep-2016.

https://doi.org/10.1109/TKDE.2016.2555805

Difallah D, Demartini G and Cudré-Mauroux P. Scheduling Human Intelligence Tasks in Multi-Tenant Crowd-Powered Systems. Proceedings of the 25th International Conference on World Wide Web. (855-865).

https://doi.org/10.1145/2872427.2883030

Shaukat K and Shaukat U. (2016). Comment extraction using declarative crowdsourcing(CoEx Deco) 2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube). 10.1109/ICECUBE.2016.7495258. 978-1-5090-1252-7. (74-78).

http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7495258

Bergman M, Milo T, Novgorodov S and Tan W. Query-Oriented Data Cleaning with Oracles. Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. (1199-1214).

https://doi.org/10.1145/2723372.2737786

Fukusumi S, Morishima A and Kitagawa H. (2015). Game Aspect: An Approach to Separation of Concerns in Crowdsourced Data Management. Advanced Information Systems Engineering. 10.1007/978-3-319-19069-3_1. (3-19).

http://link.springer.com/10.1007/978-3-319-19069-3_1

Park H and Widom J. CrowdFill. Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. (577-588).

https://doi.org/10.1145/2588555.2610503

Parameswaran A, Boyd S, Garcia-Molina H, Gupta A, Polyzotis N and Widom J. (2014). Optimal crowd-powered rating and filtering algorithms. Proceedings of the VLDB Endowment. 7:9. (685-696). Online publication date: 1-May-2014.

https://doi.org/10.14778/2732939.2732942

Park H and Widom J. CrowdFill. Proceedings of the 23rd International Conference on World Wide Web. (87-90).

https://doi.org/10.1145/2567948.2577029

Köppen V and Lübcke A. Relational Data Access for Business Data Analytics. Encyclopedia of Business Analytics and Optimization. 10.4018/978-1-4666-5202-6.ch182. (2020-2027).

http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-5202-6.ch182

Mokbel M and Sarwat M. (2013). Mobility and social networking. Proceedings of the VLDB Endowment. 6:11. (1196-1197). Online publication date: 27-Aug-2013.

https://doi.org/10.14778/2536222.2536257

Okubo Y, Kitasuka T and Aritsugi M. (2013). A Preliminary Study of the Number of Votes under Majority Rule in Crowdsourcing. Procedia Computer Science. 10.1016/j.procs.2013.09.133. 22. (537-543).

https://linkinghub.elsevier.com/retrieve/pii/S1877050913009265