• Journal of Korean Society of Archives and Records Management
• /
• v.16 no.4
• /
• pp.79-120
• /
• 2016

Along with the changing computing environment, the production of public documents is moving to G-Cloud and On-nara System, which are re-engineered on G-Cloud. In this process, it is predicted that the Open Document Format (ODF) will replace the proprietary document format, HWP, and will become widely used in the near future. To preserve digital records produced in ODF, this study reviewed the current long-term preservation strategies and identified considerations for new formats. For ODF source files, it is suggested to eliminate the conversion to PDF/A-1 and preserve the documents in the extended ODF with added metadata of records management. Moreover, ODF is presented as an alternative format for preserving proprietary formats. Finally, this study reviewed the current long-term preservation format, i.e., NEO, and suggests a zipped BagIt package, which has an ISO 21320 specification.

• Journal of Korean Society of Archives and Records Management
• /
• v.14 no.2
• /
• pp.117-128
• /
• 2014

Social Network Service (SNS) has gained great popularity. Recently, facebook has been used most active. Most of government ministries of Republic of Korea operates facebook. In the case of facebook, it takes advantages of possibilities to inform the direction of policy to aggregate opinions of people for issues. Information gained from facebook has a very important value to be reflected in the policy or to understand public opinions. Long-term storage for this information should be considered. In the case of overseas, tools for long-term storage of documentary facebook have recently been developed. However, it does not save all the data in facebook and ignores the principles for long-term storage. These tools are limited to a simple backup. Therefore, this study aims to investigate how to reproduce, store and collect facebook page records of the government ministries.

• Journal of Periodontal and Implant Science
• /
• v.51 no.1
• /
• pp.18-29
• /
• 2021

Purpose: The aim of this study was to compare the characteristic expression patterns of advanced periodontitis in 2 cohort data sets analyzed using different microarray platforms, and to identify differentially expressed genes (DEGs) through a meta-analysis of both data sets. Methods: Twenty-two patients for cohort 1 and 40 patients for cohort 2 were recruited with the same inclusion criteria. The 2 cohort groups were analyzed using different platforms: Illumina and Agilent. A meta-analysis was performed to increase reliability by removing statistical differences between platforms. An integrative meta-analysis based on an empirical Bayesian methodology (ComBat) was conducted. DEGs for the integrated data sets were identified using the limma package to adjust for age, sex, and platform and compared with the results for cohorts 1 and 2. Clustering and pathway analyses were also performed. Results: This study detected 557 and 246 DEGs in cohorts 1 and 2, respectively, with 146 and 42 significantly enriched gene ontology (GO) terms. Overlapping between cohorts 1 and 2 was present in 59 DEGs and 18 GO terms. However, only 6 genes from the top 30 enriched DEGs overlapped, and there were no overlapping GO terms in the top 30 enriched pathways. The integrative meta-analysis detected 34 DEGs, of which 10 overlapped in all the integrated data sets of cohorts 1 and 2. Conclusions: The characteristic expression pattern differed between periodontitis and the healthy periodontium, but the consistency between the data sets from different cohorts and metadata was too low to suggest specific biomarkers for identifying periodontitis.