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	Journal of Data and Information Quality ACM Press         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 18 reviews Date Reviewed     The many facets of data equity Jagadish H., Stoyanovich J., Howe B. Journal of Data and Information Quality 14(4): 1-21, 2022.  Type: Article Jagadish et al. take a complex topic and break it down into easily digested portions, digging into each in such a way that gives readers a solid overview. They take a strong perspective: we as computer scientists (and I’m including anyone wo... Jun 20 2023   Automated annotations for AI data and model transparency Thirumuruganathan S., Kunjir M., Ouzzani M., Chawla S. Journal of Data and Information Quality 14(1): 1-9, 2022.  Type: Article Individuals, organizations, and signals from automatic devices produce enormous amounts of heterogenous data. Data lakes for storage needs are suffice. Beyond storing, the quick deployment of enterprise private data also requires fast analysis. Bu... Mar 1 2023    Financial regulatory and risk management challenges stemming from firm-specific digital misinformation Casey K., Casey K. Journal of Data and Information Quality 11(1): 1-4, 2019.  Type: Article In today’s digital economy, it is easy to alter the essence of information with regards to both context and value; thus, the potential for misinformation is huge. With this paper, Casey and Casey excellently present a new ris... Sep 30 2021   Evaluating the effects of missing values and mixed data types on social sequence clustering using t-SNE visualization Lazar A., Jin L., Spurlock C., Wu K., Sim A., Todd A. Journal of Data and Information Quality 11(2): 1-22, 2019.  Type: Article The authors discuss how one can compensate for missing values when clustering joint categorical sequences. For example, one might have a set of sequences with both nominal values, such as family size, and binary values, for example, ma... Apr 21 2021    Data transparency with blockchain and AI ethics Bertino E., Kundu A., Sura Z. Journal of Data and Information Quality 11(4): 1-8, 2019.  Type: Article With the ever-growing use of digital technology, especially the use of big data technologies and machine learning, questions related to the proper use of data collected from social networks led to the introduction of data transparency.... Apr 14 2021   The data repurposing challenge: new pressures from data analytics Woodall P. Journal of Data and Information Quality 8(3-4): 1-4, 2017.  Type: Article Most corporations are acquiring massive datasets and treating them like corporate assets. In the context of business intelligence, these assets require continuous maintenance and curation activities to obtain certain degrees of quality... Oct 25 2017   Automatic discovery of abnormal values in large textual databases Christen P., Gayler R., Tran K., Fisher J., Vatsalan D. Journal of Data and Information Quality 7(1-2): 1-31, 2016.  Type: Article Imagine a world where all databases only include predefined entry values where everything works with only enumerations. You don’t need to think about how you can understand what the data is saying, and you don’t nee... Sep 8 2016   Combining user reputation and provenance analysis for trust assessment Ceolin D., Groth P., Maccatrozzo V., Fokkink W., Van Hage W., Nottamkandath A. Journal of Data and Information Quality 7(1-2): 1-28, 2016.  Type: Article The social engagement enabled by the Internet moved critical evaluation beyond the specialized few and distributed it in the hands of the common many. It is routine to evaluate the reputation of items in an online shopping context by t... May 12 2016   A methodology to evaluate important dimensions of information quality in systems Todoran I., Lecornu L., Khenchaf A., Le Caillec J. Journal of Data and Information Quality 6(2): 1-23, 2015.  Type: Article, Reviews: (2 of 2) With evolving requirements and technology, databases hold large amounts of heterogeneous data, collected by different types of sensors, systems, and agents. Even though data quality evaluation research dates back many years, the big da... Sep 17 2015   A methodology to evaluate important dimensions of information quality in systems Todoran I., Lecornu L., Khenchaf A., Le Caillec J. Journal of Data and Information Quality 6(2): 1-23, 2015.  Type: Article, Reviews: (1 of 2) As the world begins to surf down the “trough of disillusionment” with big data [1], on the journey to sorting out what can be real and what has value, we rediscover the discipline that data and information scientist... Aug 5 2015       Display 510152550100 per column
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