Difference between revisions of "IQ Papers"
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This section provides selected paper from the literature - published by IQC members as well as others addressing information quality. They are shown in reverse chronological order. | This section provides selected paper from the literature - published by IQC members as well as others addressing information quality. They are shown in reverse chronological order. | ||
− | + | * Labouseur, A G and Matheus, C C 2017 An introduction to dynamic data quality challenges. ''ACM Journal of Data and Information Quality (JDIQ)'', 8(2), January 2017. DOI:http://dx.doi.org/10.1145/2998575 | |
+ | * Neumaier S, Umbrich J and Polleres S 2016 Automated quality assessment of metadata across open data portals. ''ACM Journal of Data and Information Quality (JDIQ)'', 8(1), October 2016, DOI: http://doi.org/10.1145/2964909. | ||
* Hampapuram Ramapriyan, Ge Peng, David Moroni, Chung-Lin Shie, Ensuring and Improving Information Quality for Earth Science Data and Products – Role of the ESIP Information Quality Cluster, SciDataCon 2016, Denver, CO, September 11-13, 2016. [[File:SciDataCon 2016 on ESIP Information Quality Cluster.docx]] | * Hampapuram Ramapriyan, Ge Peng, David Moroni, Chung-Lin Shie, Ensuring and Improving Information Quality for Earth Science Data and Products – Role of the ESIP Information Quality Cluster, SciDataCon 2016, Denver, CO, September 11-13, 2016. [[File:SciDataCon 2016 on ESIP Information Quality Cluster.docx]] | ||
* Peng, G., Ritchey, N. A., Casey, K. S., Kearns, E. J., Privette, J. L., Saunders, D., Jones, P., Maycock, T., & Ansari, S. (2016). Scientific stewardship in the open data and big data era — Roles and responsibilities of stewards and other major product stakeholders. ''D-Lib Magazine, 22''(5/6). doi:[http://dlib.org/dlib/may16/peng/05peng.html 10.1045/may2016-peng] | * Peng, G., Ritchey, N. A., Casey, K. S., Kearns, E. J., Privette, J. L., Saunders, D., Jones, P., Maycock, T., & Ansari, S. (2016). Scientific stewardship in the open data and big data era — Roles and responsibilities of stewards and other major product stakeholders. ''D-Lib Magazine, 22''(5/6). doi:[http://dlib.org/dlib/may16/peng/05peng.html 10.1045/may2016-peng] | ||
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* Embury, Suzanne M, Paolo Missier, Sandra Sampaio, and R Mark Greenwood. “Incorporating Domain-Specific Information Quality Constraints into Database Queries.” Journal of Data and Information Quality (JDIQ) 1, no. 2 (2009): 1-31. ''No single agreed definition of information quality exists'' | * Embury, Suzanne M, Paolo Missier, Sandra Sampaio, and R Mark Greenwood. “Incorporating Domain-Specific Information Quality Constraints into Database Queries.” Journal of Data and Information Quality (JDIQ) 1, no. 2 (2009): 1-31. ''No single agreed definition of information quality exists'' | ||
* Klein, A and Lehner, W 2009 Representing Data Quality in Sensor Data Streaming Environments, ACM Journal of Data and Information Quality (JDIQ), 1(2), September 2009. DOI:http://doi.org/10.1145/1577840.1577845. | * Klein, A and Lehner, W 2009 Representing Data Quality in Sensor Data Streaming Environments, ACM Journal of Data and Information Quality (JDIQ), 1(2), September 2009. DOI:http://doi.org/10.1145/1577840.1577845. | ||
+ | * Li X 2009 A Bayesian Approach for Estimating and Replacing Missing Categorical Data, ''ACM Journal of Data and Information Quality (JDIQ)'', 1(1), June 2009. DOI: http://dx.doi.org/10.1145/1515693.1515695. | ||
+ | * Madnick S E et al. 2009 Overview and framework for data and information quality research. ''ACM Journal of Data and Information Quality (JDIQ)'', 8(1), June 2009. DOI: http://dx.doi.org/10.1145/1515693.1516680. | ||
* Preece, A., Missier, P., Embury, S., Jin, B., and Greenwood, M. (2008). An ontology-based approach to handling information quality in e-Science. Concurr. Comput. : Pract. Exper. 20, 3, 253-264. DOI=10.1002/cpe.v20:3 http://dx.doi.org/10.1002/cpe.v20:3 | * Preece, A., Missier, P., Embury, S., Jin, B., and Greenwood, M. (2008). An ontology-based approach to handling information quality in e-Science. Concurr. Comput. : Pract. Exper. 20, 3, 253-264. DOI=10.1002/cpe.v20:3 http://dx.doi.org/10.1002/cpe.v20:3 | ||
− | + | * Lee, Y W et al. 2002: AIMQ: a methodology for information quality assessment, ''Information & Management'', 40, 133-146. | |
+ | * Miller, H. 1996, The Multiple Dimensions of Information Quality. ''Information Systems Management''. 13(2):79. doi: http://dx.doi.org/10.1080/10580539608906992 | ||
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Return to [[Information Quality]] | Return to [[Information Quality]] |
Revision as of 16:45, May 4, 2017
This section provides selected paper from the literature - published by IQC members as well as others addressing information quality. They are shown in reverse chronological order.
- Labouseur, A G and Matheus, C C 2017 An introduction to dynamic data quality challenges. ACM Journal of Data and Information Quality (JDIQ), 8(2), January 2017. DOI:http://dx.doi.org/10.1145/2998575
- Neumaier S, Umbrich J and Polleres S 2016 Automated quality assessment of metadata across open data portals. ACM Journal of Data and Information Quality (JDIQ), 8(1), October 2016, DOI: http://doi.org/10.1145/2964909.
- Hampapuram Ramapriyan, Ge Peng, David Moroni, Chung-Lin Shie, Ensuring and Improving Information Quality for Earth Science Data and Products – Role of the ESIP Information Quality Cluster, SciDataCon 2016, Denver, CO, September 11-13, 2016. File:SciDataCon 2016 on ESIP Information Quality Cluster.docx
- Peng, G., Ritchey, N. A., Casey, K. S., Kearns, E. J., Privette, J. L., Saunders, D., Jones, P., Maycock, T., & Ansari, S. (2016). Scientific stewardship in the open data and big data era — Roles and responsibilities of stewards and other major product stakeholders. D-Lib Magazine, 22(5/6). doi:10.1045/may2016-peng
- Bates, J J and Privette, J L 2012 A maturity model for assessing the completeness of climate data records, EOS, Transactions of the AGU, 93 (44):441, DOI:http://doi.org/10.1029/2012EO440006
- Embury, Suzanne M, Paolo Missier, Sandra Sampaio, and R Mark Greenwood. “Incorporating Domain-Specific Information Quality Constraints into Database Queries.” Journal of Data and Information Quality (JDIQ) 1, no. 2 (2009): 1-31. No single agreed definition of information quality exists
- Klein, A and Lehner, W 2009 Representing Data Quality in Sensor Data Streaming Environments, ACM Journal of Data and Information Quality (JDIQ), 1(2), September 2009. DOI:http://doi.org/10.1145/1577840.1577845.
- Li X 2009 A Bayesian Approach for Estimating and Replacing Missing Categorical Data, ACM Journal of Data and Information Quality (JDIQ), 1(1), June 2009. DOI: http://dx.doi.org/10.1145/1515693.1515695.
- Madnick S E et al. 2009 Overview and framework for data and information quality research. ACM Journal of Data and Information Quality (JDIQ), 8(1), June 2009. DOI: http://dx.doi.org/10.1145/1515693.1516680.
- Preece, A., Missier, P., Embury, S., Jin, B., and Greenwood, M. (2008). An ontology-based approach to handling information quality in e-Science. Concurr. Comput. : Pract. Exper. 20, 3, 253-264. DOI=10.1002/cpe.v20:3 http://dx.doi.org/10.1002/cpe.v20:3
- Lee, Y W et al. 2002: AIMQ: a methodology for information quality assessment, Information & Management, 40, 133-146.
- Miller, H. 1996, The Multiple Dimensions of Information Quality. Information Systems Management. 13(2):79. doi: http://dx.doi.org/10.1080/10580539608906992
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