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Sonja Špiranec, PhD, assoc. prof. Denis Kos, teach. & res. assist. University of Zagreb Faculty of humanities and social sciences Ivana Lučića 3, 10 000 Zagreb [email protected], [email protected] Data Literacy and Research Data Management: the Croatian State of Affairs

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Page 1: Data Literacy and Research Data Management: the Croatian ...ecil2014.ilconf.org/wp-content/uploads/sites/6/2017/10/D223Spirane… · • stored data poorly documented and preserved

Sonja Špiranec, PhD, assoc. prof. Denis Kos, teach. & res. assist.

University of Zagreb Faculty of humanities and social sciences Ivana Lučića 3, 10 000 Zagreb [email protected], [email protected]

Data Literacy and Research Data Management: the Croatian State of Affairs

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• Bulgaria

• Croatia

• Czech Republic

• Finland

• France

• Iran

• Island

• Poland

• Portugal

• Slovenia

• Spain

• Turkey

• United Kingdom

• Italy

• Jamaica

• Japan

• Lithuania

• Netherlands

• Pakistan

An International Research Endeavour

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy 2

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The Context - 1

• LIS and Computer Sciences communities engagement • RDM related projects (OPENAire, SERSCIDA, SRCE)

• aim to establish a high-quality data infrastructure in HEA • implicitly emphasize the importance of RDM

• SERSCIDA study on social scientists RDM practices

• stored data poorly documented and preserved • see the benefits of data sharing but do not share data • want access to research data but secondary analysis is rare • data sharing not part of the research culture

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy 3

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The Context - 2

• Policy level - Recommendation of Croatian Rectors Conference – 2015. • promotes open access to scientific publications and research data • the role of Government

• Infrastructure vs. Data Literacy

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy 4

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Methodology

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

• Objective – RDM practices and understanding of institutional attitudes

• University of Zagreb, February 2017 • convenience sample – 515 members of academic staff and research students • 7.3% of the population

Sample structure - 1

• academic staff (82.3%) • research students (14.6%)

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Fig. 1 Age of respondents by discipline affiliation

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

Experience • 83.7% involved in

research for more than 5 years

Gender • 56.3% female • 42.7% male

Sample structure - 2

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ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

Fig. 2. Comparison of the expected minimum of respondents per field and the

achieved number of respondents

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Results

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

1. Type and volume of used and produced data 2. Usage, retrieval, storage and description practices 3. Attitudes towards data sharing 4. Perception of the role of institutions in RDM 5. Educational experience and willingness to participate in education

about RDM

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Fig. 3. Comparison of the usage and production of different data types

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

Type and volume of used and produced data

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ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

Usage, retrieval, storage and description practices - 1

Retrieval • 83.9% get data by doing original research • 51.3% rely on own research network and connections

Usage • 53% use data from outside sources as it is • 55% believes outside resources need cleaning and modifications

Storage • 98.1% own devices • 45.8 % cloud services • 18.4% central servers and institutional repositories • 8.3% outside repositories

• 48.5% strongly disagrees with need for long-term storage, but 69.3% would use univ. repo. for long-term storage

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Fig. 4. Additional information respondents assign to their research data

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

Description • 55.7% familiar with term metadata

• 60% assign some type of metadata

to data sets

Usage, retrieval, storage and description practices - 2

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ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

Fig. 5. Data sharing practices

Attitudes towards data sharing

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Fig. 6. Perception of the role of institutions and institutional practices

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

Perception of the role of institutions in RDM

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ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

Fig. 7. Comparison of educational experience and readiness to participate in education on RDM

Educational experience and willingness to participate in education

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Conclusion

ECIL 2017 - Špiranec, S., Kos, D. (2017) Data Literacy

• low interest from humanities as a new research topic • attitudes mostly common accross different subject areas • wide awareness, narrow practice • more institutional involvement needed • DL programs could promote a sistematic and sustainable approach to RDM • previous findings confirmed

A lot of work for the data librarian!

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THANK YOU!

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