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Open Data Cultural Change

Pavol Macejovsky

University of Malta Library

Open Science Department

6th November 2024

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Outline

o University of Malta

o Role of UM Library in Open Science

o Opting for drUM

o Workflow

o Using the repository by UM academics

o Wish list

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Space mission, AI for games, Marine and Coastal Protection…

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Allies of Open Science: SEA-EU Alliance

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The role of UM’s Library

The first IR

on the island (OAR@UM)

The Open Science Department

Open Access Policy

drUM - Data Repository for the UM

2017

2014

2023

2019

Research Data Management Policy

2024

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  • Populate the OAR@UM and drUM by depositing publications and data on behalf of researchers.

  • Provide support through the organisation of events, awareness-raising activities, and provide instructions and training on OAR and drUM issues.

  • To provide support and advice on copyright clearance, embargo periods, and any other issues pertaining to OA publishing.

Open Science Department

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  • drUM is our second institutional repository, designed exclusively for research data; (OAR@UM – traditional full-text repository)

  • Platform for depositing, curating, and sharing datasets from research projects conducted under auspices of University of Malta

  • Inherited structure, assigns Library of Congress keywords, and includes custom metadata

  • Open Science team provides consultative service offering guidance on licensing, metadata and distributing quotas

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WORKFLOW

23364

10 TB

Open Science

Department

Self Deposit

Publishing data

Approving items for publishing

Distributing quotas

Correcting metadata

Academic staff

(1GB by default)

Students

(Consent form for depositing)

Creating sub-groups

Consulting services encompassing publishing, licences, embargo periods, copyright clearance

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Use by UM researchers

  • PhD students sharing their data with supervisors

  • Private link functionality on a funding application

  • Preview features of deposited files

(BrainCon)

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Anonymization Tools

  • Built-in data anonymization tools

AI-DRIVEN INSIGHTS

  • Automated metadata generation
  • Analysing dataset

content

Wish list

CURRENT RESEARCH INFORMATION SYSTEM

  • Improved Metrics and Analytics

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Thanks!

Contact me on the details below for further info:

Pavol Macejovsky

/um.libraryservices

Pavol.macejovsky@um.edu.mt

(+356) 2340 1234/5