Repositories for Data Management Daryl L. Superio Southeast Asian - - PowerPoint PPT Presentation

IOC/IIOE2-OTGA and IORA Joint Training Course: Research Data Management 22-26 May 2016: Kuala Terengganu, Malaysia

Hosted by: Government of Malaysia and Malaysian Ocean Teacher Global Academy (OTGA) Regional Training Centre (RTC), INOS, UMT Supported by: Australian Aid, UNESCO/IOC Perth Programme Office, UNESCO/IOC Project Office for International Oceanographic Data and Information Exchange (IODE) and the Indian Ocean Rim Association (IORA)

Repositories for Data Management

Daryl L. Superio

Southeast Asian Fisheries Development Center, Aquaculture Dept. dlsuperio@seafdec.org.ph

Learning Outcomes

• At the end of the session you will:

– gain knowledge about, and understand the value

• f data repositories

– identify the different types of repositories for data management – learn how to evaluate data repositories

Institutional Repositories (IRs) Defined

• are electronic systems that capture, preserves,

and provide access to the digital work products of a community (Foster & Gibbons, 2005)

• are online archives that collect, preserve, and

disseminate the intellectual output of an institution’s communities (faculty, students, staff, and alumni) and historical materials produced by the institution (Gibney, 2015)

Purposes of IRs

Rieger (2015)

• Enable digital asset management
• Offer preservation services
• Provide institutional visibility through access

to collective intellectual work

• Support learning, teaching, and research
• Facilitate discovery of content
• Enable re-use and re-purposing of content

Purposes of IRs

Rieger (2015)

• Support archival business requirements
• Offer alternative channels in support of scholarly

communication

• Organize information to allow effective content

management and access

• Provide access to outcomes of publicly funded

research initiatives

• Strengthen partnership between content

creators/providers and content managers

Contents

• Articles
• Books
• Book chapters
• Conference proceedings, presentations, lectures
• Photographs
• Videos
• Voice recordings
• Data

Different IR Software

IRs in IORA

PPDNSZ Repository

http://dspace.psnz.umt.edu.my/xmlui/

Data Repositories (DRs) Defined

E-Science Thesaurus (2016)

http://esciencelibrary.umassmed.edu/professional-educ/escience-thesaurus/data-repository

• a place that holds data, makes data

available to use, and organizes data in a logical manner

• appropriate, subject-specific location

where researchers can submit their data

Types of DRs

• 1. Institutional DRs

– maybe disciplinary or multidisciplinary – usually found in academic, research, and government institutions – maintained to preserve and make available their academic or research works – benefits (University of Queensland Library, 2016):

• repositories are backed by institutions
• different types of datasets can be stored together, regardless
• f discipline
• institutions generally guarantee support
• data can link to publications related to the data
• but not all research institutions have central data

repositories

Types of DRs

• 2. Domain/Scientific DRs

– specific data archives – serve a scientific community, which may be a traditional academic discipline, a subdiscipline, or an interdisciplinary network of scientists, united by a common focus (Ember, 2013) – benefits (University of Queensland Library, 2016):

• your data will be stored with similar data
• researchers will find your data easily
• repository staff understand your kind of data
• the repository may offer computational tools to crunch or

visualise your data

• but repositories may close down if funding ends

Institutional DRs

http://nsuworks.nova.edu/ https://data.csiro.au/dap/home?execution=e2s1 https://purr.purdue.edu/ http://datashare.is.ed.ac.uk/

CSIRO Data Access Portal

https://data.csiro.au/dap/browse

Domain/Scientific DRs

http://badc.nerc.ac.uk/home/index.html http://datadryad.org/ https://figshare.com/ http://www.ncbi.nlm.nih.gov/genbank/ https://www.pangaea.de/ http://www.seanoe.org/

DRYAD

http://datadryad.org/resource/doi:10.5061/dryad.sp418

Why Share/Archive Research Data?

• funding agency requirement
• publisher’s requirement
• data organization
• data discovery/data reuse
• enables collaboration across scientific

community

• long-term preservation

How to Identify Repository for your Data?

• Publisher’s recommendations/specifications

How to Identify Repository for your Data?

http://www.re3data.org/

• Registry of Research Data Repositories
• Biosharing

https://biosharing.org

Guidelines on Evaluating DRs for Publishing Research Data

Callaghan et al. (2014)

• enable access to the dataset
• ensure dataset persistence
• ensure dataset stability
• enable searching and retrieval of datasets
• collect information about repository statistics

References

• Callaghan, S., Tedds, J., Kunze, J., Khodiyar, V., Lawrence, R., Mayernik, M. S., ... &

Whyte, A. (2014). Guidelines on recommending data repositories as partners in publishing research data. International Journal of Digital Curation, 9(1), 152-163.

• Ember, C., Hanisch, R., Alter, G., Berman, H., Hedstrom, M., & Vardigan, M. (2013).

Sustaining domain repositories for digital data: a white paper. Retrieved 07 May 2016 from http://datacommunity.icpsr.umich.edu/sites/default/files/WhitePaper_ICPSR_SDRDD_121113.pdf

• Foster, N. F., & Gibbons, S. (2005). Understanding Faculty to Improve Content

Recruitment for Institutional Repositories. D-Lib Magazine, 11(1). Retrieved 07 May 2016 from http://www.dlib.org/dlib/january05/foster/01foster.html

• Gibney, M. (2015). Institutional repositories for data management. Retrieved 07 May

2016 from http://classroom.oceanteacher.org/mod/resource/view.php?id=5678

• Rieger, O. Y. (2007). Select for success: Key principles in assessing repository
• models. D-lib Magazine, 13(7/8).
• The University of Queensland. (2016). Research data management: Repositories.

Retrieved 07 May 2016 from http://guides.library.uq.edu.au/research-data- management/repositories

• https://data.csiro.au/dap/browse
• http://datadryad.org/resource/doi:10.5061/dryad.sp418
• http://dspace.psnz.umt.edu.my/xmlui/
• http://esciencelibrary.umassmed.edu/professional-educ/escience-thesaurus/data-

repository

Thank you!