RISS 학술연구정보서비스

검색

인기 검색어

    다국어 입력

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    닫기
    KCI등재

    빅데이터에 대한 공정이용법리 적용에관한 연구 - 법경제학적 관점을 중심으로 -

    한글로보기

    https://www.riss.kr/link?id=A101888430

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In recent times, Big Data is one of the hot issues across various fields of social sciences. It has a potential to contribute to the value creation in society. However, Big Data are collected from diverse kinds of data which includes private information. The Big Data is faced with the problem of copyright infringement. It is necessary to apply fair use doctrine to Big Data in order to rescue the big data industry from copyright infringement. However, recent technological and lawful changes provide uncertainties surrounded with protection of fair use in the digital arena. In technological aspect, DRM technologies attempt to contribute to make copyright infringement impractical or costly. What makes DRM controversial is its potential to over-deter lawful noninfringing uses of protected content. Furthermore, in the area of law, Digital Millenium Copyright Act(DMCA) of United States, prohibits users from circumventing Technology Protection Measures (TPM) employed by right holders in order to control access to their works and EU Directive establishes database right. Those changes result in the imbalance between the rights of users and right holders. Since the government, itself, has collected funds or disseminated so much of this data in former times, it was legitimate for the government to establish the rules of access and uses that apply. The Copyright Act of 1976 prohibits the federal government from claiming protection of its publications. On the other hand, in the age of database right, there is no evolving public domain substratum from which either research workers or second comers are benefited. The database right ignores the important distinction between ideas and the author’s expression. All those factors challenge the fair use doctrine of copyright. This study constructs an economics model of copyright based on Landes and Posner’s works to test the compatibility of fair use doctrine with big data. We decompose the costs of copyright into access cost and, administration, and enforcement costs, following Landes and Posner's copyright model. In digital age, it is easy to collect, assimilate and store the personal record. It forms digital personality which is distinct from existential personality. The ongoing discussion of information privacy is expected to enhances the access cost to copyrighted materials. In addition, DRM technologies significantly reduce the administration and enforcement costs, which is favorable to copyright holders. Accordingly, we consider to apply the fair use doctrine in Big Data. This study discusses whether fair use doctrine is applicable to Big Data and shows that the Big Data is compatible to transformative use based on fair use doctrine.
    번역하기

    In recent times, Big Data is one of the hot issues across various fields of social sciences. It has a potential to contribute to the value creation in society. However, Big Data are collected from diverse kinds of data which includes private informati...

    In recent times, Big Data is one of the hot issues across various fields of social sciences. It has a potential to contribute to the value creation in society. However, Big Data are collected from diverse kinds of data which includes private information. The Big Data is faced with the problem of copyright infringement. It is necessary to apply fair use doctrine to Big Data in order to rescue the big data industry from copyright infringement. However, recent technological and lawful changes provide uncertainties surrounded with protection of fair use in the digital arena. In technological aspect, DRM technologies attempt to contribute to make copyright infringement impractical or costly. What makes DRM controversial is its potential to over-deter lawful noninfringing uses of protected content. Furthermore, in the area of law, Digital Millenium Copyright Act(DMCA) of United States, prohibits users from circumventing Technology Protection Measures (TPM) employed by right holders in order to control access to their works and EU Directive establishes database right. Those changes result in the imbalance between the rights of users and right holders. Since the government, itself, has collected funds or disseminated so much of this data in former times, it was legitimate for the government to establish the rules of access and uses that apply. The Copyright Act of 1976 prohibits the federal government from claiming protection of its publications. On the other hand, in the age of database right, there is no evolving public domain substratum from which either research workers or second comers are benefited. The database right ignores the important distinction between ideas and the author’s expression. All those factors challenge the fair use doctrine of copyright. This study constructs an economics model of copyright based on Landes and Posner’s works to test the compatibility of fair use doctrine with big data. We decompose the costs of copyright into access cost and, administration, and enforcement costs, following Landes and Posner's copyright model. In digital age, it is easy to collect, assimilate and store the personal record. It forms digital personality which is distinct from existential personality. The ongoing discussion of information privacy is expected to enhances the access cost to copyrighted materials. In addition, DRM technologies significantly reduce the administration and enforcement costs, which is favorable to copyright holders. Accordingly, we consider to apply the fair use doctrine in Big Data. This study discusses whether fair use doctrine is applicable to Big Data and shows that the Big Data is compatible to transformative use based on fair use doctrine.

    더보기

    목차 (Table of Contents)

    • I. 머리말
    • II. 빅데이터의 의의와 활용
    • 1. 빅데이터의 의의
    • 2. 빅데이터의 활용
    • III. 공정이용과 관련된 법적 그리고 법경제학적 접근방법
    • I. 머리말
    • II. 빅데이터의 의의와 활용
    • 1. 빅데이터의 의의
    • 2. 빅데이터의 활용
    • III. 공정이용과 관련된 법적 그리고 법경제학적 접근방법
    • 1. 공정이용에 관한 저작권법 이론의 전개
    • 2. 공정이용에 관한 법경제학적 이론의 전개
    • IV. 빅데이터의 공정이용에 관한 법경제학적 분석
    • 1. 일반적인 저작권의 법경제학적 분석
    • 2. 빅데이터 관련 저작권의 법경제학적 분석
    • 3. 비용-편익분석과 공정이용
    • 4. 소결
    • V. 맺음말
    • 참고문헌
    더보기

    참고문헌 (Reference)

    1 이인호, "한국 정보법의 발전동향 ― 정보공개법과 개인정보보호법을 중심으로 ―" 한국공법학회 35 (35): 177-211, 2007

    2 곽윤직, "채권총론, 제6판" 박영사 2002

    3 윌리엄 M. 랜디스, "지적재산권법의 경제구조" 일조각 2011

    4 남형두, "저작권의 역사와 철학" 한국지식재산학회 (26) : 245-306, 2008

    5 제레미 리프킨, "소유의 종말" 민음사 2001

    6 윤상오, "빅데이터의 위험유형 분류에 관한 연구" 한국지역정보화학회 16 (16): 93-122, 2013

    7 빅토르 마이어 쇤버거, "빅데이터가 만드는 세상" 21세기 북스 2013

    8 김성준, "빅데이터, 인재를 말하다" 인더비즈 2013

    9 김정숙, "빅데이터 활용과 관련기술고찰" 10 (10): 2012

    10 데이코, "빅데이터 관련시장 실태와 전망" 2013

    1 이인호, "한국 정보법의 발전동향 ― 정보공개법과 개인정보보호법을 중심으로 ―" 한국공법학회 35 (35): 177-211, 2007

    2 곽윤직, "채권총론, 제6판" 박영사 2002

    3 윌리엄 M. 랜디스, "지적재산권법의 경제구조" 일조각 2011

    4 남형두, "저작권의 역사와 철학" 한국지식재산학회 (26) : 245-306, 2008

    5 제레미 리프킨, "소유의 종말" 민음사 2001

    6 윤상오, "빅데이터의 위험유형 분류에 관한 연구" 한국지역정보화학회 16 (16): 93-122, 2013

    7 빅토르 마이어 쇤버거, "빅데이터가 만드는 세상" 21세기 북스 2013

    8 김성준, "빅데이터, 인재를 말하다" 인더비즈 2013

    9 김정숙, "빅데이터 활용과 관련기술고찰" 10 (10): 2012

    10 데이코, "빅데이터 관련시장 실태와 전망" 2013

    11 강만모, "빅 데이터의 분석과 활용" 30 (30): 2012

    12 김한나, "빅 데이터의 동향 및 시사점" 24 (24): 2013

    13 최종모, "빅 데이터에 대한 저작권 등의 법적 고찰" 법학연구원 문화.미디어.엔터테인먼트법연구소 6 (6): 135-170, 2012

    14 이병엽, "빅 데이터를 이용한 소셜 미디어 분석 기법의 활용" 한국콘텐츠학회 13 (13): 211-219, 2013

    15 제프리 해리슨, "법경제학" 세창출판사 2006

    16 박준우, "미국의 공정이용법리에서‘변형적 이용’ 기준의 기원과 의의" 한국법정책학회 10 (10): 111-129, 2010

    17 박준우, "미국 판례법상 패러디의 변형성과 공정이용법리" 법무부 (51) : 70-85, 2010

    18 방석호, "디지털시대의 미디어와 저작권" 커뮤니케이션북스 2012

    19 우지숙, "디지털 저작물에 대한 정당한 사용(Fair Use) 원칙의 새로운 개념화를 위한 연구-미 저작권 판례에서의 변형적 이용(transformative use) 요인을 중심으로-" 한국방송학회 2002 (2002): 229-256, 2002

    20 조지 바살라, "기술의 진화" 까치글방 1996

    21 서계원, "공정이용 법리(fair use)의 국내법 편입에 대한 실증적 연구" 법학연구소 51 (51): 159-192, 2010

    22 이창범, "개인정보보호법제 관점에서 본 빅데이터의 활용과 보호 방안" 법학연구소 37 (37): 509-559, 2013

    23 Reese, R. Anthony, "Transformativeness and the Derivative Work Right" 31 : 2008

    24 Leval, N. Pierre, "Toward A Fair Use Standard" 103 : 1990

    25 Coase, Ronald, "The Nature of the Firm" Economica 1937

    26 Calabresi, Guido, "The Cost of Accident: A Legal and Economic Analysis" Yale University Press 1970

    27 이만재, "Internet and Information Security" Internet and Information Security" 2011

    28 Barker, J. Cam, "Grossly Excessive Penalties in the Battle Against Illegal File-Sharing: The Troubling Effects of Aggregating Minimum Statutory Damages for Copyright Infringement" 83 : 2004

    29 Carroll, W. Michael, "Fixing Fair Use" 85 : 2007

    30 Weinreb, L. Lloyd, "Fair’s Fair: A Comment on the Fair Use Doctrine" 103 : 1990

    31 Gordon, J. Wendy, "Fair Use as Market Failure: A Structural and Economic Analysis of the Betamax Case and Its Predecessors" 82 : 1982

    32 Parchomovsky, Gideon, "Fair Use Harbours" 93 : 2007

    33 Armstrong, K. Timothy, "Digital Rights Management and the Process of Fair Use" 20 : 2006

    34 Johnstone, R. David, "Debunking Fair Use Rights and Copyduty under U.S. Copyright Law" 52 : 2005

    35 Lessig Lawrence, "Creative Economics" 2006

    36 Mishan, E. J, "Cost-Benefit Analysis" George Allen & Unwin 1981

    37 Feldstein, Martin, "Cost-Benefit Analysis" Penguin Books 1974

    38 Landes, M. William, "Copyright, Borrowed Images, and Appropriation Art" 9 : 2000

    39 Bughin, Jacques, "Clouds, Big Data, and Smart Assets: Ten Tech-enabled Business Trends to Watch" McKinsey Quarterly 2010

    40 McAfee, Andrew, "Big Data: The Management Revolution" 2012

    41 Parchomovsky, Gideon, "Beyond Fair Use" 96 : 2010

    42 Brown, Brad, "Are You Ready for the Era of 'Big Data'?" McKinsey Quarterly 2011

    43 Akerlof, A. George, "An Economic Theorist's Book of Tales" Cambridge University Press 1984

    44 Landes, M. William, "An Economic Analysis of Copyright Law" 1989

    45 Reichman, J H., "A Contractually Reconstructed Research Commons for Scientific Data in a Highly Protectionist Intellectual Property Environment" 66 : 2003

    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    인용정보 인용지수 설명보기

    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2015-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2014-08-27 학회명변경 한글명 : 한국산업재산권법학회 -> 한국지식재산학회
    영문명 : Korea Industrial Property Law Association -> Korea Intellectual Property Society
    KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-03-11 학회명변경 한글명 : 한국산업재산권법학회a -> 한국산업재산권법학회 KCI등재
    2009-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2007-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2006-07-31 학술지등록 한글명 : 산업재산권
    외국어명 : Journal of Industrial Property
    KCI등재
    2004-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2003-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2001-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
    더보기

    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.81 0.81 0.71
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.7 0.69 0.759 0.12
    더보기

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼