Recent surveys have evaluated some of the existing record linkage frameworks, different blocking mechanisms, and different mechanisms for load balancing this process. Methods in the computer science literature, private record linkage is the most. We provide efficient techniques for private record linkage that improve on previous work in that i they make no use of a third party. Privacy preserving probabilistic record linkage p3rl. The problem of finding records that represent the same individual in separate databases without revealing the identity of the individuals is called privacypreserving record linkage 2, blind data linkage 3, or private record linkage 4. The goal of private record linkage is to compute the set of linked records and then output them to the two private parties without revealing anything about the nonlinked records 7, 18. We consider the problem of record linkage in the situation where we have only non. The link king has fashioned a powerful alliance between sophisticated probabilistic record linkage and deterministic record linkage protocols incorporating features unavailable in many proprietary record linkage. Each data record in the pair of data records is contained in one of a given pair of datasets, and each pair of data records is associated with a common entity having matching attributes in the given pair of datasets.
Improving record linkage performance in the presence of missing. Either a unique personal identifier, like social security number, is not available or nonunique person identifiable information, like names, are privacy protected and cannot be accessed. Jianneng cao, fangyu rao, elisa bertino, and murat kantarcioglu. Due to privacy concerns, there is an increasing pressure to use encrypted identi. However, for data to be used to their full power, data security and privacy are critical. Existing record linkage methods do not handle missing linking field values in an. Reuse of individual healthrelated data faces several problems. The past, present and future of the german record linkage. Dinusha is currently working on privacypreserving record linkage pprl of multiple databases and dynamic and temporal pprl for creating the social genome as part of australian research council arc discovery projects dp101801 and dp160101934. Pdf comparison of publicdomain software and services for. Software and services for probabilistic record linkage and.
However, duplicate records in a distributed dataset may lead to incorrect statistical results. Recent technologies, such as iot, social networks, cloud computing, and data analytics, make today possible to collect huge amounts of data. The output value is normalized to fall between 0 and 1. Prl is desirable in various domains, including health care, where it may. Private record linkage prl is a variant of the task in. An empirical comparison of record linkage procedures. Nov 07, 20 in summary, private record linkage involves two private parties who are trying to share minimum information with each other and assumes that the matching function between the tables is known. These workshops covered a broad range of topics like the prototypical record linkage process, preprocessing, blocking, comparison, classification, privacy preserving record linkage and software options.
In such cases, the problem of carrying out the linkage computation without full data exchange has been called private record linkage. Data matching software tool with 96% match accuracy. Private record linkage prl is a variant of the task in which data. Previous private record linkage techniques have made use of a third party. American medical informatics association annual symposium 2014. Dr dinusha vatsalan research school of computer science. All software and papers coauthored by members of the grlc are available for download. Some variants boost the weight given to agreement in the first few characters of the strings being compared. Efficient and practical approach for private record linkage. Efficient and practical approach for private record linkage m yakout, mj atallah, a elmagarmid journal of data and information quality jdiq 3 3, 128, 2012. A secure open enterprise master patient index software toolkit for private record linkage. Privacypreserving record linkage using bloom filters pdf.
Peter vamplew, andrew stranieri, kl ong, peter christen and paul j. For such situations much work on probabilistic methods of record linkage can be found in the statistical literature. In the realm of public domain software for record linkage and unduplication aka. All you want to know about record linking and record matching. In this paper, we present an exact private record linkage prl protocol and an approximate prl protocol. Record linkage is a classification problem that predicts if a record pair belongs to a class of matches ie, same patient or nonmatches. The site contains about 50 pages of information in english on recordlinkage methodology in general, on privacy preserving recordlinkage, recordlinkage projects in germany and recordlinkage software.
Objective record linkage to integrate uncoordinated databases is critical in biomedical research using big data. Record linkage of existing individual health care data is an efficient way to answer important epidemiological research questions. Record linkage, as a major domain of substantive and technical interest, came about in the 1960s at the confluence of four closely interrelated developments first, the postwar evolution of the welfare state and taxation system resulted in the development of large files about individuals and businesses opportunity. Efficient private record linkage of very large datasets.
We also synthesize the literature to propose a new framework, privacy preserving interactive record linkage ppirl, for data integration with tractable privacy and utility properties. A toolbox for fast privacypreserving matching vldb. Efficient private record linkage mohamed yakout, mikhail j. An overview of record linkage methods linking data for health. Our software implementation provides experimental validation of our. Therefore, to increase the accuracy of the statistical analysis of a distributed dataset, secure deduplication is an important preprocessing step. Many data manipulation techniques are available in commonly used software. A practical approach to achieve private medical record.
The approximate prl protocol extends the exact prl protocol by incorporating locality sensitive hash functions. Efficient private record linkage by mohamed yakout, mikhail. Private record linkage prl is a variant of the task in which data holders wish to perform linkage without revealing identi ers associated with the records. Randomized controlled trials rcts remain the gold standard for assessing intervention efficacy. On the theoretical front, there have been ongoing efforts to develop pprl algorithms since 2003. Efficient private record linkage ieee conference publication. An overview of record linkage methods linking data for. The exact prl protocol is based on oblivious bloom intersection, which is an efficient private set intersection protocol. In our working paper, we described the application of multibit trees for record linkage in general by transforming all identi. Bfe is a promising approach for private medical record linkage, but this investigation confirms that bfes may leave identifiers vulnerable to compromise via public resources. The process of identifying which records in two or more databases correspond to the same entity is an important aspect of data quality activities such as data preprocessing and data integration.
Previous private record linkage techniques have made use of a. Record linkage techniques the national academies press. Us patent for methods and systems for discovery of linkage. It will be necessary to extend bfes in a more principled approach by evaluation of the impact of the attack on record linkage accuracy. Members of the grlc have conducted several training workshops on methods of record linkage, both in germany and different international contexts. Data matching, also known as record linkage, is a data management process that allows you to accurately identify, match, merge and duplicate records across disparate data sources for the availability of complete and uptodate across the enterprise. Our software implementation provides experimental validation of our approach and the above. The second, lampld uses a twolevel hidden markov model to model within population linkage disequilibrium allowing the methods to infer local ancestry using dense genomewide genotype data.
Pdf probabilistic record linkage prl refers to the process of. Secure and scalable deduplication of horizontally partitioned. Balancing privacy protection against the need for high quality record linkage requires a humanmachine hybrid system to safely manage uncertainty in the ever changing streams of chaotic big data. Reasons for using only a single bloom filter for linkage include legal constraints in some jurisdictions and attempts at improving the privacy of the data 19, 20. Techniques have been developed to compute statistics on distributed datasets without revealing private information except the statistical results. Efficient private record linkage by mohamed yakout. Frequent grams based embedding for privacy preserving record linkage. A taxonomy of privacypreserving record linkage techniques. The goal is to apply the known matching function in a secure manner.
These limitations can be overcome by linking data from multiple sources such as. Perhaps more importantly, rct results often cannot be generalized due to a lack of inclusion of realworld combinations of interventions and heterogeneous patients. May 07, 20 in addition, linkage points between pairs of datasets are identified. This technology not only reduces storage and investment costs but also ensures efficient data transfer across the wan to remote sites and the cloud. Alternate methods of privacypreserving record linkage using bloom filters have been developed, with a single bloom filter composed from many identifiers. Because of its history in record linkage applications, there are some standard variants of jarowinkler distance that may be implemented in record linkage software. We provide efficient techniques for private record linkage that improve on previous work in that 1 our techniques make no use of a third party, and 2 they achieve much better performance than previous schemes in terms of their execution time while maintaining acceptable quality of output compared to nonprivacy settings. However, record linkage and the creation of commercially financed centralized databases the book of icelanders and the health service database by the american venture capital financed company decode together with frisk software led to controversy about the role attributed to private companies by state legislation. Privacy preserving interactive record linkage ppirl. Private medical record linkage with approximate matching. Concepts and techniques for record linkage, entity resolution, and duplicate detection.
Data linkage, also called record linkage, is the process of combining records about the same individual or entity from two or more different data sources winkler, 2006. Separating differentially private synopses from matching records. Dinusha vatsalan is a research fellow in the research school of computer science at the australian national university anu. Pdf privacy preserving interactive record linkage ppirl.
Software tools institute for quantitative and computational. Data security and privacy have been widely investigated over the past thirty years. May 30, 2015 record linkage of existing individual health care data is an efficient way to answer important epidemiological research questions. Chapter 3 record linkage big data and social science. Pdf record linkage is a task of identifying data from large datasets. Durham, murat kantarcioglu, yuan xue, bradley malin, soempi. Costaware load balancing for multilingual record linkage. Data61 has developed a suite of technologies known as anonlink, that allows two organisations to carry out private record linkage finding matching records of entities between their respective datasets without disclosing personally identifiable information. Record linkage is the task of identifying records from multiple data sources that refer to the same individual. While the process can be difficult to navigate, many effective strategies have.
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