The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges
Abstract Contemporary biomedical databases include a wide range of information types from various observational and instrumental sources. Among the most important features that unite biomedical databases across the field are high volume of information and high potential to cause damage through data...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-04-01
|
| Series: | Human Genomics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40246-018-0147-5 |
| _version_ | 1811262869430337536 |
|---|---|
| author | Fida K. Dankar Andrey Ptitsyn Samar K. Dankar |
| author_facet | Fida K. Dankar Andrey Ptitsyn Samar K. Dankar |
| author_sort | Fida K. Dankar |
| collection | DOAJ |
| description | Abstract Contemporary biomedical databases include a wide range of information types from various observational and instrumental sources. Among the most important features that unite biomedical databases across the field are high volume of information and high potential to cause damage through data corruption, loss of performance, and loss of patient privacy. Thus, issues of data governance and privacy protection are essential for the construction of data depositories for biomedical research and healthcare. In this paper, we discuss various challenges of data governance in the context of population genome projects. The various challenges along with best practices and current research efforts are discussed through the steps of data collection, storage, sharing, analysis, and knowledge dissemination. |
| first_indexed | 2024-04-12T19:34:37Z |
| format | Article |
| id | doaj.art-c782d703c4af40918d1a7d8c02ce8654 |
| institution | Directory Open Access Journal |
| issn | 1479-7364 |
| language | English |
| last_indexed | 2024-04-12T19:34:37Z |
| publishDate | 2018-04-01 |
| publisher | BMC |
| record_format | Article |
| series | Human Genomics |
| spelling | doaj.art-c782d703c4af40918d1a7d8c02ce86542022-12-22T03:19:15ZengBMCHuman Genomics1479-73642018-04-0112111510.1186/s40246-018-0147-5The development of large-scale de-identified biomedical databases in the age of genomics—principles and challengesFida K. Dankar0Andrey Ptitsyn1Samar K. Dankar2College of IT, UAEUGloucester Marine Genomics InstituteFaculty of Sciences, University of BalamandAbstract Contemporary biomedical databases include a wide range of information types from various observational and instrumental sources. Among the most important features that unite biomedical databases across the field are high volume of information and high potential to cause damage through data corruption, loss of performance, and loss of patient privacy. Thus, issues of data governance and privacy protection are essential for the construction of data depositories for biomedical research and healthcare. In this paper, we discuss various challenges of data governance in the context of population genome projects. The various challenges along with best practices and current research efforts are discussed through the steps of data collection, storage, sharing, analysis, and knowledge dissemination.http://link.springer.com/article/10.1186/s40246-018-0147-5Biomedical databaseData privacyData governanceWhole genome sequencing |
| spellingShingle | Fida K. Dankar Andrey Ptitsyn Samar K. Dankar The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges Human Genomics Biomedical database Data privacy Data governance Whole genome sequencing |
| title | The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges |
| title_full | The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges |
| title_fullStr | The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges |
| title_full_unstemmed | The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges |
| title_short | The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges |
| title_sort | development of large scale de identified biomedical databases in the age of genomics principles and challenges |
| topic | Biomedical database Data privacy Data governance Whole genome sequencing |
| url | http://link.springer.com/article/10.1186/s40246-018-0147-5 |
| work_keys_str_mv | AT fidakdankar thedevelopmentoflargescaledeidentifiedbiomedicaldatabasesintheageofgenomicsprinciplesandchallenges AT andreyptitsyn thedevelopmentoflargescaledeidentifiedbiomedicaldatabasesintheageofgenomicsprinciplesandchallenges AT samarkdankar thedevelopmentoflargescaledeidentifiedbiomedicaldatabasesintheageofgenomicsprinciplesandchallenges AT fidakdankar developmentoflargescaledeidentifiedbiomedicaldatabasesintheageofgenomicsprinciplesandchallenges AT andreyptitsyn developmentoflargescaledeidentifiedbiomedicaldatabasesintheageofgenomicsprinciplesandchallenges AT samarkdankar developmentoflargescaledeidentifiedbiomedicaldatabasesintheageofgenomicsprinciplesandchallenges |