부산연구원디지털정보게이트
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부산형 데이터 댐 기반 데이터 산업 육성 방안
◎ 경제·산업연구실 배수현 외 843 20211201
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    문서정보
    저자

    ▪ 연구책임 ▪

    배 수 현  경제산업연구실 연구위원

    ▪ 연구참여 ▪

    최 윤 찬  해양관광연구실 선임연구위원 

    장 하 용  해양관광연구실 연구위원 

    구 윤 모  경제산업연구실 연구위원 

    정 희 정  경제산업연구실 연구원

    전문분야
     
    문서요약
    부산은 산업 및 라이프스타일의 디지털 전환을 위해 데이터 산업 육성이 필수적이며, 이를 위해 '부산형 데이터 댐' 구축과 '데이터 생태계 육성'을 추진 방향으로 설정했다.

    ◦
    현재 부산의 공공데이터는 품질과 다양성 면에서 미흡하며, 활용도를 높이기 위해 데이터 수집 및 품질 관리 체계 마련, 민간데이터 활용을 위한 법적 제도 마련이 시급하다.

    ◦
    노인 맞춤형 빅데이터 기술, 의료 마이데이터 연계 스마트 헬스케어, 부산 관광 빅데이터 플랫폼 등 부산 특화 분야에서의 기술 개발 및 지원이 필요하다.

    ◦

    데이터 산업의 혁신 역량 강화를 위해 데이터 전문기업 육성 및 전문인력 양성, 특히 산학협력형 인력양성 프로그램 지원이 중요하다.
    목차정보
    목차

    제1장 서론 ················································································································· 1

    1. 연구의 배경 및 목적 ························································································ 1

    1) 연구배경 ······································································································ 1

    2) 연구목적 ······································································································ 2

    2. 연구의 범위 및 방법 ························································································ 4

    1) 연구범위 ······································································································ 4

    2) 연구방법 ······································································································ 4

    3. 주요 연구내용 ··································································································· 4

    4. 기대효과 ··········································································································· 6

    제2장 국내외 데이터 활용 지원정책 ·········································································· 7

    1. 데이터 산업의 범위 및 현황 ············································································ 7

    1) 데이터 산업의 범위 ···················································································· 7

    2) 글로벌 데이터 산업 동향 ············································································ 8

    3) 국내 데이터 산업 현황 및 한계 ······························································· 11

    2. 국내 데이터 수집 및 활용 정책 ····································································· 14

    1) 공공 및 민간 마이데이터 사업 ································································· 14

    2) 데이터 댐 사업 ························································································· 21

    3) 국내 데이터 활용 지원정책 ······································································ 28

    3. 해외 데이터 수집 및 활용 정책 ····································································· 30

    1) 영국 ·········································································································· 30

    2) 미국 ·········································································································· 31

    3) EU ············································································································ 33

    4) 호주 ·········································································································· 34

    4. 시사점 ············································································································ 35

    제3장 부산지역 데이터 산업 여건조사 ···································································· 39

    1. 부산지역 활용 가능 데이터 자산 실태조사 ···················································· 39

    1) 조사 개요 ·································································································· 39

    2) 기관 일반현황 ··························································································· 40

    3) 데이터 생성 및 통합관리 실태 ································································· 41v

    4) 부산광역시 데이터 산업 특화 육성 방안 ·················································· 48

    2. 데이터 산업 활성화를 위한 신규 구축 데이터 수요조사 ······························· 50

    1) 조사 개요 ·································································································· 50

    2) 부산광역시 공공데이터 이용 만족도 및 수요조사 ···································· 51

    3) 부산광역시 데이터 산업 특화 육성 방안 ·················································· 55

    3. 시사점 ············································································································ 60

    제4장 부산지역 데이터 산업 육성 전략 ··································································· 66

    1. 부산지역 데이터 산업 SWOT 분석 ······························································· 66

    1) 강점(Strength) ························································································· 66

    2) 약점(Weakness) ······················································································ 66

    3) 기회(Opportunity) ···················································································· 67

    4) 위협(Threat) ····························································································· 67

    2. 부산지역 데이터 산업 육성 비전 및 전략 ····················································· 69

    1) 육성 방향 및 비전 ···················································································· 69

    2) 전략 및 과제 ···························································································· 69

    3. 부산지역 데이터 산업 육성 추진과제 ····························································· 70

    1) 부산형 데이터 댐 구축 추진과제 ······························································ 70

    2) 부산지역 데이터 산업 생태계 육성 추진과제 ··········································· 74

    제5장 결론 및 정책제언 ·························································································· 87

    1. 결론 ················································································································ 87

    2. 정책제언 ········································································································· 88

    1) ‘데이터 기본법’ 제정 대비 ······································································· 88

    2) ‘본인신용정보관리업(마이데이터)’ 활성화 ·················································· 89

    3) 민간주도 ‘디지털자산거래소’ 설립 ···························································· 89

    4) ‘국가정보자원관리원(공공클라우드센터)’ 부산센터 유치․설립 ···················· 90

    5) ‘해양 위성데이터’ 활용 비즈니스 특화 ····················································· 90

    Abstract ·················································································································· 92

    참고문헌 ··················································································································· 93

    부록 ·························································································································· 95

    1. 설문지 ············································································································ 95

    2. 설문조사 대상 기관·기업 일반현황 ······························································ 112

    표목차

    <표 2-1> 데이터 산업 정의 및 매출 발생 구조 ······························································ 8

    <표 2-2> 데이터 산업 시장 규모(2016~2020년) ························································· 12

    <표 2-3> 데이터 산업 시장 전망(2020~2026년) ························································· 13

    <표 2-4> 정부의 마이데이터 추진 동향(’21.3. 기준) ··················································· 15

    <표 2-5> 2018년 마이데이터(MyData) 시범사업 ························································· 16

    <표 2-6> 2019년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 16

    <표 2-7> 2020년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 17

    <표 2-8> 2021년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 18

    <표 2-9> 정부의 마이데이터 사업 개요 ········································································ 20

    <표 2-10> 마이데이터 본허가 받은 국내 기업 ····························································· 21

    <표 2-11> 데이터 댐 7대 핵심사업(’20년 기준) ·························································· 22

    <표 2-12> 2021년 주요 데이터 활용 지원사업 내용 ··················································· 23

    <표 2-13> 2020년 AI 학습용 데이터 구축 과제 선정결과 ·········································· 26

    <표 2-14> 2021년 추경 인공지능 학습용 데이터 지정과제(25종) 목록 ······················ 27

    <표 2-15> 영국 마이데이터(Midata) 관련 제도 ··························································· 30

    <표 2-16> 미국 스마트 공시 관련 제도 ······································································· 32

    <표 2-17> 나라별 마이데이터 정책 비교 ······································································ 38

    <표 3-1> 공공기관 조사 ································································································ 39

    <표 3-2> 조사대상 공공기관 ························································································· 40

    <표 3-3> 데이터 저장·관리 시스템 구축현황 ································································ 44

    <표 3-4> 데이터 저장·관리 시스템 운영현황 ································································ 44

    <표 3-5> 기업체 조사 ··································································································· 50

    <표 3-6> 부산시 공공데이터 활용 목적 ········································································ 53

    <표 4-1> 부산지역 데이터 산업 육성 관련 SWOT 분석 ············································· 68

    <표 4-2> 초고령사회 노인 맞춤형 빅데이터 기술개발 ·················································· 76

    <표 4-3> 의료 마이데이터 연계 스마트 헬스케어 기술개발 ········································· 77

    <표 4-4> 부산시 스마트 서비스업 빅데이터 기술개발 ·················································· 78

    <표 4-5> 데이터 기반 스마트 방재서비스 시범사업 ····················································· 83

    <표 4-6> 데이터 기반 스마트 방범서비스 시범사업 ····················································· 84

    <표 4-7> 데이터 기반 스마트 교통사고 예방서비스 시범사업 ······································ 85

    <표 5-1> 국내 위성센터 비교 ······················································································· 91

    그림목차

    <그림 1-1> 한국판 뉴딜 10대 대표 과제 ······································································· 3

    <그림 1-2> 연구구성도 ···································································································· 5

    <그림 2-1> 세계 데이터 규모 ·························································································· 9

    <그림 2-2> 주요국 데이터 시장 규모(백만 유로) 및 ’19년 증가율 ······························ 10

    <그림 2-3> 주요국 데이터 공급기업 수 및 ’19년 증가율 ············································ 10

    <그림 2-4> 주요국 데이터 전문가 수(천명) 및 ’19년 증가율 ······································ 11

    <그림 2-5> 데이터 산업 시장 규모(2016~2020년) ······················································ 12

    <그림 2-6> 데이터 산업 시장 전망(2020~2026년) ······················································ 13

    <그림 2-7> 데이터 댐 7개 사업의 연계 구성도 ··························································· 22

    <그림 2-8> 통합데이터지도 네트워크 구성도 ································································ 24

    <그림 2-9> AI 학습용 데이터 구축·개방 현황(2017~2019) ········································ 25

    <그림 2-10> NIA 인공지능 학습용 데이터셋 구축사업 수행단계 ································· 25

    <그림 2-11> 공공데이터포털 주요서비스 ······································································ 29

    <그림 2-12> 공공데이터활용지원센터 ············································································ 29

    <그림 2-13> 국내 데이터 산업의 한계 및 대응방향 ····················································· 36

    <그림 3-1> 설립년도 ····································································································· 40

    <그림 3-2> 업무상 활용 가능한 데이터 발생 여부 ······················································· 41

    <그림 3-3> 기관 보유 데이터 ······················································································· 41

    <그림 3-4> 활용 가능한 데이터 ···················································································· 42

    <그림 3-5> 현재 공개 중인 데이터 ··············································································· 42

    <그림 3-6> 발생하는 데이터 분야 ················································································· 43

    <그림 3-7> 내부에서 생성되는 데이터 수집·관리 방식 ················································ 43

    <그림 3-8> 전담인력 수(명) ·························································································· 45

    <그림 3-9> 시스템 미보유 기관 향후 구축 계획 ·························································· 45

    <그림 3-10> 데이터의 외부 활용을 위한 공개 계획 ····················································· 46

    <그림 3-11> 선호하는 데이터 공개 방법 ······································································ 46

    <그림 3-12> 데이터 공개 계획이 없는 이유 ································································· 47

    <그림 3-13> 데이터 판매 계획이 없는 이유 ································································· 47

    <그림 3-14> 디지털 뉴딜 중 데이터 댐 사업 인지도 ··················································· 48

    <그림 3-15> 정부의 데이터 댐 사업의 가장 큰 효과 ··················································· 48

    <그림 3-16> 부산형 데이터 댐 구축사업 추진 시 적절한 분야 ··································· 49

    <그림 3-17> 부산 전략산업별 데이터 가치 및 활용도 5점 평균 비교 ························· 49viii

    <그림 3-18> 비즈니스 유형 ··························································································· 50

    <그림 3-19> 부산시 공공데이터포털(data.busan.go.kr) 인지도 ·································· 51

    <그림 3-20> 부산시 공공데이터를 주로 제공받는 곳 ··················································· 51

    <그림 3-21> 부산시 공공데이터를 주로 활용하는 분야 ················································ 52

    <그림 3-22> 부산시 공공데이터를 활용한 경험이 있는 분야 ······································· 52

    <그림 3-23> 부산시 공공데이터 활용 만족도 ······························································· 53

    <그림 3-24> 부산시의 공공데이터 이용 활성화를 위해 개선해야 할 점 ······················ 54

    <그림 3-25> 개방한 공공데이터 중 사업화 측면에서 향후 활용도가 높은 데이터 ······· 54

    <그림 3-26> 공공연구기관별 데이터 가치 및 활용도 5점 평균 비교 ··························· 55

    <그림 3-27> 데이터 개방 및 구매 희망 공공연구기관 ················································· 55

    <그림 3-28> 정부기관별 데이터 가치 및 활용도 5점 평균 비교 ································· 56

    <그림 3-29> 데이터 개방 및 구매 희망 정부기관 ························································ 57

    <그림 3-30> 출자출연기관별 데이터 가치 및 활용도 5점 평균 비교 ··························· 58

    <그림 3-31> 데이터 개방 및 구매 희망 출자출연기관 ················································· 59

    <그림 3-32> 공공기관의 데이터 산업 육성의견 ···························································· 61

    <그림 3-33> 민간기업의 데이터 산업 육성의견 ···························································· 62

    <그림 3-34> 부산의 데이터 산업 여건에 대한 공공기관과 민간기업 평가 ··················· 63

    <그림 3-35> 개방·공유를 원하는 공공데이터 키워드 ··················································· 65

    <그림 3-36> 개방·공유를 원하는 민간데이터 키워드 ··················································· 65

    <그림 4-1> 부산지역 데이터 산업 육성 비전 및 전략  ················································ 69