11. G8 f f i2013j
http://www.mofa.go.jp/mofaj/gaiko/page23_000044.html
12. Global Open Data Index (2015)
!
– b b b b
b b b b
b i jb
b b
! f f
–
– f
– “
f f b 31 . OKFJ. 2015 12 14 .
http://okfn.jp/2015/12/14/opendataindex2015/
16. /大向一輝. オープンデータと図書館. カレントアウェアネス. 2014, (320), CA1825, p. 14-16.
http://yokohamaopendata.jp/2014/03/04/yokohama-international-open-data-day-2014-「wikipedia-town」レポート/
f f
"
"
23. f f
,
. f . f .
2016 2 29 . https://jipsti.jst.go.jp/rda/
24. European Open Science Cloud (EOSC)
-‐‑‒
Governance
Lifesciences
Lead scientific users… …long tail of science
Physics
Earthsciences
Economics
Social
sciences
Scaleofscientificactivity(data-drivenscience)
High-performance computing
Data fusion across disciplines
Big data analytics
Data access and re-use
Data manipulation and export
Data discovery and catalogue
Long-term funding
Leverage of MS investment
Legacy and sustainability
IPR and privacy protection
Federation
Applied-engineering
……
Humanities Citizen science
Bottom-up governance
European
Data
Infrastructure
Big data storage
Super-Computing
High-speed connectivity
Data and
Services
Trust
d 0)
d 0 )))
"
" f f
"
"
"
The European Open Science Cloud. EOSC Infoday, 2016-4-15.
http://goo.gl/rEA7z7
27. c
0
I NW ) 2 # a z!
) _ O ) - ,. , %,,& ) -3(-4)
C VSMb5 CV O R MO O N_MSLSVS b)
_ O) - ,/) H V) 0 0 _O 2/30)
F O Mb
28. 1
D A D S U S SI
U SS A TRT NTS
7N NTS SI I
8 SI I
, 6S N R MTI TI
S U S
-‐‑‒ M R N S U S
. 8 NLS SI S N S U S
/ A & LN NTS TK IN
0 A & LN NTS TK S N U S
1 U N NTS
i ) 0 j
http://science.sciencemag.org/content/352/6290/1147.full.pdf+html
32. i2016 j
,DO O MR N 9O OV WO ;_ NS- ,1 V L V D 9 ;_ NS ; OM ) - ,1 ) /)
R 5 aaa)S SaOL) S O NOP _V PSVO - ,1 V L VD#-19;_ NS ; OM -) NP
-‐‑‒)
)
;_ NS
33. ,,
1
2
2
Houghton, J; Gruen, N. Open Research Data: Report to the Australian National Data
Service (ANDS). 2014, 45p. http://ands.org.au/resource/open-research-data-report.pdf
%
34. ,-‐‑‒
HS O F 6 O V) FRO SV LSVS b P O O MR N NOMVS O SNVb aS R SMVO O)
8_ O 7S V b) ,4 9OMOWLO - ,. R 5 N S) , ), ,1 T)M_L)- ,.),,) ,/S S 9
f
(n=516)
36. fi j
,/
Overview of funders' data policies. Digital Curation Centre.
http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies,
37. fi j
,0
Valen, Dan; Blanchat, Kelly. Overview of OSTP Responses. figshare. 2015.
https://dx.doi.org/10.6084/m9.figshare.1367165.v7
40. t f f
The Royal Society!
Philosophical Transactions!
http://rstl.royalsocietypublishing.org
Nature Publishing Group !
Scientific Data!
http://www.nature.com/sdata/
))(
41. t f
! f
! Dryad
-‐‑‒
R 5 aaa)N N b N) O P _ S
R 5 aaa)P MO,,) _ T S (NOMV S (N (MS S ( S MS VO (PS V
51. .
“ f .
f y z h “ h.
2015, p.20-21. http://www8.cao.go.jp/cstp/sonota/openscience/
c :
aURAa
“ f
52. f Education and Training on
handling of research data IG
! f
1. research librarians;
2. research administrators;
3. research infrastructure managers /
operators;
4. researchers.
.https://rd-alliance.org/node/971/all-wiki-index-by-group
f
53. ! Research Librarians
– Metadata (CE); Familiarity with various metadata standards;
– Familiar with different data documentation practices, not just metadata schemas (AN)
– Familiarity with various data standards (LW)
– Data management planning (CE)
– Data repositories (CE); knowledge of repositories and other digital initiatives (LW) Understanding
the general requirments for preservable data or specific requirements for domain repositories (AN)
– Data preparation (CE)
– Marketing services (CE)
– Building collaborations (CE); interaction and cooperation with business and IT personnel (LW)
– Data backup and security (CE)
– Understand and create organisational culture change (LW)
– Experience of data and document management (LW)
– Training, advocacy and awareness-raising activities (LW)
– Communicating the importance of data stewardship, ability to make the case (AN)
– Managing and influencing business change activities (LW)
– Experience of working with an HE research establishment (LW)
– Understanding of RDM policy issues and best practice (LW) Funder requirements for data planning,
handling, deposition (AN)
– Familiarity with RDM lifecycle (LW)
.,https://rd-alliance.org/node/971/all-wiki-index-by-group
f
54. ! Research Librarians
– Ethical and legal requirements in handling data from human participants (VVdE) and other sensitive data types (AN)
– Review and appraisal of research data (VVdE)
– Data sharing/distribution/publication (AN)
– Intellectual property and Data licenses (AN)
– Defining the working space: What is research data? (AN)
– Migration between working file formats and preservation file formats (AN)
– File naming, organization, and versioning (AN)
– Familiarity with existence of available tools for data handling (AN)
– Identifying storage strategies for different data types, stages, quality. Selecting data for presearvation (AN)
– Understanding of research reproducibility (AN)
– From the Data Information Literacy (DIL) Program (AN)
# Discovery and Acquisition
# Ethics and Attribution
# Metadata and Data Description
# Cultures of Practice
# Data Management and Organization
# Data Curation and Reuse
# Data Quality and Documentation
# Data Processing and Analysis
# Data Visualization and Reuse
# Databases and Data Formats
# Data Conversion and Interoperability
# Data Preservation
.-‐‑‒https://rd-alliance.org/node/971/all-wiki-index-by-group
f
55. f
! f
– f
# Data Management Plan
– f
– f
– b
– b f
– iDOIb j
–
!
– f
– f
..
57. RDMRose
1. bRDMbLIS
2. RDM
3. f
4. RDM
5. f e
6. f
7. f
8. f d
.0
RDMRose Learning Materials
http://rdmrose.group.shef.ac.uk/?page_id=10#session-13-the-lis-role-in-rdm
58. RDMRose
a 8 a= C
8
, f
-‐‑‒ 8
. f e
/ f
0 f
1 f d
.1
8 f f
f f
f
f
RDMRose Learning Materials
http://rdmrose.group.shef.ac.uk/?page_id=10#session-13-the-lis-role-in-rdm
f i8 Aj
f f i8 j
59. d f
.2
! DRF f i2015j
o f p
–
– c
–
– c
http://drf.lib.hokudai.ac.jp/drf/index.php?onlineworkshop2015
60. M 8 C N S f f
) / 1 h
D N i j
M U3((NSIN T N U N ( S (0/.1(
M U3(( TI T L( T PNSL&L T U ( M&I & N S & RR & MTT
1 b f b
f b f b
1 1
/)
61. “
! i j
– Open Research Datad f b
b f f
– Open Scienced c
– Data CarpentrydSQL f f
– Software CarpentrydR, Unix shell, Git
– Visualisationd f
– Analysisd b
– Computational Infrastructured
f bIaaS
/
67. i2012j
1. k222l
2. f c k170l
3. b
f k166l
4. fb b k165l
5. k99l
s476 f
/0
Varvel, Virgil E. Jr.; et al. Education for data professionals: a study of current
courses and programs. Proceedings of the 2012 iConference. 2012, p. 527–529.
71. 0
Research Data Management
(MLIS 2014-2015)
1. Introductions & Overview
2. Data Landscape
3. Universities & Data
4. Data Requirements &
Capability
5. RDM Roadmaps, Strategy,
Services & Structures
6. Data Management Plans
7. No Class – Fall Break
8. Immersive session
with Researchers
9. Disciplinary Data 1
10. Legal & Ethical Issues
11. Disciplinary Data 2
12. Data Centers
13. Data Advocacy, Skills,
Training
14. Data Sustainability &
Costs
15. Presentations
Lyon, Liz. Bridging the Data Talent Gap: Positioning the iSchool as an Agent for Change.
10th International Digital Curation Conference, Feb. 2015.
72. 0
Research Data Infrastructures
(MLIS 2014-2015)
1. Introductions, Syllabus
Overview & Data Storage
Part 1
2. Data Storage Part 2
3. Data Publication & Citation
Part 1
4. Data Publication & Citation
Part 2
5. Data Discovery
6. Immersive session with
Researchers
7. Data Description & Data
Standards
8. Data Repositories &
Preservation Part 1
9. Data Repositories &
Preservation Part 2
10. No class – Spring Recess
11. Data Sharing & Disciplinary
Diversity
12. Citizen Science, Citizen
Data
13. Data Science, Data
Analytics & Data
Visualization
14. Data, Society, Futures
15. Presentations & Summary
Evaluation
Lyon, Liz. Bridging the Data Talent Gap: Positioning the iSchool as an Agent for Change.
10th International Digital Curation Conference, Feb. 2015.
93. Digital Scholarship Commons
Digital Humanities STEM
Digital Scholarship
use of digital evidence and method, digital
authoring, digital publishing, digital curation
and preservation, and digital use and reuse
of scholarship iAbby Smith Rumseyj
2,
ARL. SPEC Kit 350: Supporting Digital Scholarship. 2016, p. 2.
7 = ) / TU SI NS I RN NG N
94. 2-‐‑‒M U3(( I I ( N ( ) -‐‑‒(/( SI &NS&INLN & MT MNU& S
95. 2.M U3(( I I ( N ( ) -‐‑‒(/( SI &NS&INLN & MT MNU& S
96. 2/M U3(( I I ( N ( ) -‐‑‒(/( SI &NS&INLN & MT MNU& S
97. 20M U3(( I I ( N ( ) -‐‑‒(/( SI &NS&INLN & MT MNU& S
98. 21M U3(( I I ( N ( ) -‐‑‒(/( SI &NS&INLN & MT MNU& S
99. Digital Scholarship Commons
Digital Humanities STEM
Digital Scholarship
use of digital evidence and method, digital
authoring, digital publishing, digital curation
and preservation, and digital use and reuse
of scholarship iAbby Smith Rumseyj
22
ARL. SPEC Kit 350: Supporting Digital Scholarship. 2016, p. 2.
105. “ “ f i j
&9 ?T ,-‐‑‒ ) , , 1 M U3(( S SI LT OU( -‐‑‒
! New Roles for New Times: Research
Library Services for Graduate
Studentsi2012j
– d
–
–
–
–
New Roles for New Times:
Research Library Services for Graduate Students
December 2012
Lucinda Covert-Vail
Scott Collard