Data sharing& reuse

Library – RDM Support Project

Basic training course for information specialists

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Data archives

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Data archives: types & sizes

Institutional: universities, institutions

National: UK Data Service, ANDS

Discipline-specific: Dryad, ICPSR

General: figshare

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Data archives: aims

Sustainable data storage

Findable publication of data

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Deutsche Forschungsgemeinschaft (DFG)

All fields

Crowdsourced, review by Re3data

Keywords (subject, content type, country)

634 repositories as of 19/03/2014

RDMS Data sharing & reuse 6http://service.re3data.org/search/

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Purdue University Libraries (hosting)

All fields

Crowdsourced, approval by Databib

Categorised by field

624 data repositories as of 20/03/2014

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http:

//da

tabi

b.or

g/ad

vanc

ed_s

earc

h.ph

p

http://databib.org/index.php

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Re3data vs Databib

http://datapub.cdlib.org/2014/03/03/finding-disciplinary-data-repositories-with-databib-and-re3data/

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Other registers of (data) repositories

Directory of Open Access Repositories (OpenDOAR)

Registry of Open Access Repositories (ROAR)

Open Access Directory (OAD)

Mapping of the Eur. Research Infrastructure Landscape (MERIL)

BioSharing

University of Southampton

University of Nottingham

Simmons College, Boston

European Science Foundation (ESF)

University of Oxford

Quality of repositories

Data Seal of Approval (DSA)

Trusted Repositories Audit &

Certification (TRAC)

Trusted Digital Repository

(TDR) Checklist (ISO 16363)

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http:

//w

ww

.dat

asea

lofa

ppro

val.o

rg/e

n/

http://www.crl.edu/archiving-preservation/digital-archives/metrics-assessing-and-certifying/other-assessment-tools

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Sharing & publishing data

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Sharing data: when and with whom?

during research

with colleagues from one's own research group

with people outside the research group

when publishing article

after completion of research

Sharing data: how?

not public:

network disk

external hard disk, USB

Virtual Research

Environment (VRE)

(not) public:

own website

journal website

data repository, data archive

data journal

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Data journals

Data/dataset paper: description of dataset by the

creator, peer reviewed

Dataset deposited in repository by creator

List of data journals (in formation):

http://proj.badc.rl.ac.uk/preparde/blog/DataJournalsList

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Which data archive?

Prescribed by journal/publisher

Prescribed by research funder

Repository of field

Repository of institution

General data archive

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Criteria when choosing data archive

Costs

Quality of the data archive

Findability of the data

Options: persistent identifier, version management,

access restrictions

Requirements: file formats, metadata

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Sharing data: points for attention

May dataset be shared? (rights, safety, privacy)

Can dataset be shared? (metadata, documentation,

anonymisation)

How is dataset shared? (repository, licence)

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Depositing data in data archive: why?

value, uniqueness and/or importance of the data for

importance for historical research (into the history of

science)

importance of the data for non-scientific purposes

(e.g. cultural heritage, museums, etc.)

requirement (funder, institution, journal)

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Depositing data in data archive: four scenarios

Description and dataset public

Description public, dataset public after embargo

Description public, dataset only shared with specific

users

Description public, dataset not public

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Publishing data: why?

Verification of research conclusions

Reuse by others for research or education

Publicly funded = results public

Requirement by institution, funder or journal

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“Yes, but…”

The UK Data Service has listed a number of reasons given

by researchers for not sharing or publishing their data. Are

these valid arguments? Can you think of

counterarguments or solutions?

UK Data Archive (UK Data Service), Managing and sharing data. Training resources (2011), 9-12http://ukdataservice.ac.uk/manage-data/training.aspx

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Finding, reusing& citing data

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Finding data

Citation of dataset in journal article

Search for data archive via registry

Search within data archive

DataCite - only for datasets with DOI

Data Citation Index (Thomson Reuters)

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DataCite

http://search.datacite.org/ui

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Reusing data

Does the dataset match (sufficiently) with the new

research question?

Are the data reliable, properly described?

May I use the data?

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Citing data: aim

Verifiability of assertions made on the basis of

dataset

Credits for creator of dataset

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Citing data: how?

No standard

Citation styles: APA, MLA, Chicago

Guidelines of data repositories

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Required elements

Authors: name of the creator/creators of the dataset

Title: the name of the dataset

Publication date: the date on which the dataset was

published

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Required elements

Publisher: the name of the archive where the

dataset is stored

Identifier: the unique reference of the dataset, e.g.

a DOI

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Optional elements

File type: the type of file (e.g. dataset, codebook,

film, image, software)

Version: the version number of the edition of the

dataset used (if applicable)

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Optional elements

Creation date: the date on which the dataset was

created (important for unpublished dataset)

Access date: the date on which you (last) accessed

the dataset

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Citation styles: APA (6th ed.)

Minimum:

Milberger, S. (2002). Evaluation of violence against women with

physical disabilities in Michigan, 2000-2001 (ICPSR version) [data

file and codebook]. doi:10.3886/ICPSR03414

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Citation styles: APA (6th ed.)

With optional elements:

Milberger, S. (2002). Evaluation of violence against women with

physical disabilities in Michigan, 2000-2001 (ICPSR version) [data

file and codebook]. Detroit: Wayne State University [producer]. Ann

Arbor, MI: Inter-university Consortium for Political and Social

Research [distributor]. doi:10.3886/ICPSR03414

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Citation styles: MLA (7th ed.)

Minimum:

Milberger, Sharon. Evaluation of Violence Against Women With

Physical Disabilities in Michigan, 2000-2001. ICPSR version. Inter-

university Consortium for Political and Social Research, 2002. Web.

[19 05 2011]

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Citation styles: MLA (7th ed.)

With optional elements:

Milberger, Sharon. Evaluation of Violence Against Women With

Physical Disabilities in Michigan, 2000-2001. ICPSR version. Detroit:

Wayne State U [producer]. Ann Arbor, MI: Inter-university

Consortium for Political and Social Research [distributor], 2002.

Web. 19 May 2011. doi:10.3886/ICPSR03414

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Citation styles: Chicago (16th ed.)

Bibliography:

Milberger, Sharon. Evaluation of Violence Against Women With

Physical Disabilities in Michigan, 2000-2001. ICPSR version. Detroit:

Wayne State University, 2002. Distributed by Ann Arbor, MI: Inter-

University Consortium for Political and Social Research, 2002.

doi:10.3886/ICPSR03414.

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Citation styles: Chicago (16th ed.)

Author-Date:

Milberger, Sharon. 2002. Evaluation of Violence Against Women

With Physical Disabilities in Michigan, 2000-2001. ICPSR version.

Detroit: Wayne State University. Distributed by Ann Arbor, MI: Inter-

University Consortium for Political and Social Research.

doi:10.3886/ICPSR03414.

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Persistent identifiers

Digital Object Identifier (DOI)

Uniform Resource Name (URN)

Archival Resource Key (ARK)

Handle (HDL)

Persistent Uniform Resource Locator (PURL)

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Persistent identifiers

doi:10.3886/ICPSR09685.v2

urn:nbn:nl:ui:13-19ye-al

http://ark.cdlib.org/ark:/13030/tf5p30086k

http://hdl.loc.gov/loc.rbc/jeff.16823

http://purl.oclc.org/NET/DIGIZEIT.PPN

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http://ands.org.au/guides/data_citation_poster.pdf

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Publication information

Presentation:

Mariëtte van Selm | selm@uva.nl

Images, unless credited otherwise:

Jørgen Stamp | http://www.digitalbevaring.dk/

M. van Selm, RDM Support - basic training course for information specialists, course material for session 6. March 2014.This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International licence