• Journal of Korean Library and Information Science Society
• /
• v.54 no.1
• /
• pp.167-190
• /
• 2023

This study is a literature study that analyzed the research data curation models using activity theory as a theoretical framework. Based on the factors of the activity used in the activity theory, this study analyzed various research data curation models, as well as issues that needed discussion in the library field in carrying out research data curation activities. And based on this, a new research data curation conceptual model was proposed. This study analyzed how the five previously proposed digital curation lifecycle models are configured, and analyzed the actions presented sporadically in each model. A new research data curation conceptual model was proposed by analyzing factors, extracting common factors and integrating them into a new model. In addition, six issues to be considered in carrying out research data curation activities in libraries and repositories were analyzed and discussed. The research data curation conceptual model proposed in this study consists of a total of 10 steps, and it contains practical issues and contradictions to consider at each stage of activity.

• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.1
• /
• pp.175-195
• /
• 2020

The purpose of this study is to propose a data curation service to support teaching and learning activities of university libraries. To this end, the concept of data curation has been summarized, and how to understand information services and teaching-learning information data curation of university libraries. As a traditional extension of library information services, the use of university library data curation services has been proposed. As a result of research, data curation suggests that it is appropriate to understand the data by focusing more on the utilization of data. The university library emphasized that the data curation service is needed through the establishment of an institutional repository of teaching-learning activity materials for the visible effects that contribute to the educational service of the parent university. Finally, the research was completed by presenting five levels of teaching and learning information data curation framework.

• Journal of the Korea Convergence Society
• /
• v.11 no.6
• /
• pp.163-171
• /
• 2020

This study analyzed the contents and changes by year of metadata research that appeared in the study of domestic movie curation from the viewpoint of art management. The research method used thesis search site to search 'movie' and 'metadata' as keywords, and analyzed them in 4 stages of change according to the research trend by year, purpose of research content, analysis by use, and type of recommendation method. As for research results, movie metadata research is highly interested in user-side research, and is developing from an introduction stage to an evolutionary stage of recommendation to a sharing and participation stage. It was concluded that movie curation evolved into 6 stages: search support, content-based, collaborative filtering, hybrid, artificial intelligence, and curation.

• The Journal of the Korea Contents Association
• /
• v.17 no.9
• /
• pp.1-11
• /
• 2017

The importance of data curation is increasingly recognized as the need of data reuse drastically grows. Due to recent data explosion, scientists invest almost 90% of their efforts in the retrieval and collection of data needed to their study. In this paper, we deal with the development and application of a collaborative environment for community-driven data curation which is essential to enhance scientific data reusability and citability. The collaborative scientific data curation environment focuses on the cross-linking between data (or data collections) and their associated literatures to capture and organize inter-relations among research results in a specific domain. Also, plenty of contextual information is provided as metadata in order to support users in understanding data. The cross-linking has been realized by using DOI system to guarantee global accessibility to data and their relationships to literatures. The curation environment has been adopted to build a community-driven curated DB by a globally well-known intrinsically-disorderd protein research group. The curated DB will drastically reduce researchers' efforts to retrieve and collect the data required for scientific discovery.

• Proceedings of the Korea Contents Association Conference
• /
• 2017.05a
• /
• pp.421-422
• /
• 2017

콘텐츠 큐레이션 서비스를 위해서 대용량 데이터를 학습하는 과정에서 발생하는 메모리부족 문제, 학습소요시간 문제 등을 해결하기 위한 "대용량 문서학습을 위한 동적학습 파이프라인 생성기술 중 빅데이터 마이닝을 위한 점진적 학습 모델" 기술이 필요하며, 본 논문에서 제안한 콘텐츠 큐레이션 서비스는 온라인상의 수많은 콘텐츠들 중 개인의 주관이나 관점에 따라 관련 콘텐츠들을 수집, 정리하고 편집하여 이용자와 관련이 있거나 좋아할 만한 콘텐츠를 제공하는 서비스이다. 큐레이션 서비스에서는 개인비서, 금융 분야의 투자, 자율주행, 저널리즘, 효율적인 업무 지시/감독, 제조업의 자동화 공정, 교육, 콘텐츠 유통, 학술정보 등에서 컴퓨터가 방대한 양의 데이터로 부터 학습하여 사람의 일을 대신 처리하거나 의사결정에 도움을 줌으로써 업무의 효율을 높여주는 서비스 산업에 활용이 가능하다.

• Journal of Korean Library and Information Science Society
• /
• v.45 no.2
• /
• pp.93-116
• /
• 2014

This study analyzed the digital curation process targeting the foreign 10 university libraries for the efficient utilization of the research data. The analysis was conducted by dividing into 4 parts such as the selection and ingest of data, preservation, access and use, responsibilities and management. The results indicated that research data for selection and ingest include data produced by the faculty members or can be accessible in the university or research institution. The findings also showed that the institutions use Dublin Core, MODS, and PREMIS as a metadata for preservation. In the aspect of approach and use, regulation are decided based on the law and agreement. And in the aspect of responsibility and management, most elements are divided into the management, financial, technical, physical, and personal parts and each audit or sustainability is reviewed.

• Proceedings of the Korea Contents Association Conference
• /
• 2018.05a
• /
• pp.401-402
• /
• 2018

콘텐츠 큐레이션 서비스를 위해서 대용량 데이터를 학습하는 과정에서 발생하는 메모리부족 문제, 학습소요시간 문제 등을 해결하기 위한 "대용량 문서학습을 위한 동적학습 파이프라인 생성기술 중 빅데이터 마이닝을 위한 점진적 학습 모델" 기술이 필요하며, 본 논문에서 제안한 콘텐츠 큐레이션 서비스는 온라인상의 수많은 콘텐츠들 중 개인의 주관이나 관점에 따라 관련 콘텐츠들을 수집, 정리하고 편집하여 이용자와 관련이 있거나 좋아할 만한 콘텐츠를 제공하는 서비스이다. 본 논문에서 설계된 모아 큐레이션 서비스는 대용량의 문서를 학습함에 있어서 메모리 부족 문제, 학습 소요시간 문제 등을 해결하기 위해 학습데이터의 용량 제한이 없는 문서를 자유롭게 학습하고 부분적인 자질추가/변경 시에 변경요소만을 추가 반영할 수 있는 범용적이고 일반적인 분류기의 구조설계 방법 등을 제시하였다.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2016.08a
• /
• pp.71-76
• /
• 2016

본 연구는 데이터 전문사서 양성을 위해 데이터 전문사서의 직무 요건을 분석하고 데이터 큐레이션 관련 교과과정 현황을 분석하여 데이터 전문사서의 역량을 갖출 수 있는 교과과정을 제안하는데 목적이 있다. 이를 위해 2014년부터 2016년 국외 공고를 통해 데이터 전문사서의 역할과 능력을 분석하고 ALA 인증대학을 대상으로 데이터 큐레이션 교과과정을 조사 분석하여 데이터 전문사서 양성을 위한 교과과정을 제안하였다.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.30 no.1
• /
• pp.53-75
• /
• 2019

This study has examined the policy status of the specialized libraries and analyzed the status of curation services of libraries and similar institutions and portals, and proposed policy directions for the curation services provision of the specialized libraries. As for the results of this study, first, curation information is collected and selected through the participation of various curators, and the curation information is regularly updated on the websites and online gateways toward maximizing the perception of the book collections in place and the use of collections. Second, the scope of the specialized libraries' curation services are diversified, such as research support services, one-on-one customized curation services, and book curation. Third, digital curation services are constructed in connection with specialized themes. Fourth, beacon is installed inside, and based on the information received from the information forwarding media, individualized user services are provided via such data as the scope of movement of the users and the time entailed for dwelling in a space.

• Annual Conference on Human and Language Technology
• /
• 2023.10a
• /
• pp.306-311
• /
• 2023

최근 생성형 언어모델에 명령어 튜닝을 적용하여 사람의 명령을잘이해하고, 대답의 성능을 향상시키는 연구가 활발히 수행되고 있으며, 이 과정에서 다양한 명령어 튜닝 데이터셋이 등장하고 있다. 하지만 많은 데이터셋들 중에서 어떤 것을 선택해서 활용하지가 불분명하기 때문에, 현존하는 연구들에서는 단순히 데이터셋을 모두 활용하는 방식으로 명령어 튜닝이 진행되고 있다. 하지만 최근 연구들에서 고품질의 적은 데이터셋으로도 명령어 튜닝을 하기에 충분하다는 결과들이 보고되고 있는 만큼, 많은 명령어 데이터셋에서 고품질의 명령어를 선별할 필요성이 커지고 있다. 이에 따라 본 논문에서는 한국어 데이터셋에서도 명령어 튜닝 데이터셋의 품질을 향상시키기 위해, 기존의 데이터셋들에서 데이터를 큐레이션하여 확보된 적은 양의 고품질의 명령어 데이터셋인 KoQuality를 제안한다. 또한 KoQuality를 활용하여 한국어 언어모델에 명령어 튜닝을 진행하였으며, 이를 통해 자연어 이해 성능을 높일 수 있음을 보인다. 특히 제로샷 상황에서 KoBEST 벤치마크에서 기존의 모델들보다 높은 성능 향상을 보였다.