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BEVERLY P. CIMAGALA, RL

University of Science And Technology of Southern Philippines

[email protected]

International Conference of Airlangga Library (ICOAL)

April 25-26, 2018

IMPORTANCE OF RESEARCH DATA MANAGEMENT FOR ACADEMIC

LIBRARIES

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- Your managing data (your own or by group’s)

- You think you maybe should be - Your not sure why it matters - Your not sure how best to do it

- You’d like to know whether you’re on the right track?

https://mwtb.org/collections/pmt-cartoon- tracts?page=3

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SESSION OUTLINE

What Why How

- Research Data - Research Data

Management (RDM) - Research Data

Management is Important?

- Academic Libraries play an important role in RDM?

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So, what do we mean by Research Data?

,

-Anything & everything produced in the course of research.

-Prof. Jeff Haywood,

VP, CIO/Librarian, University of Edinburgh, UK

-A raw data directly produced from the lab or survey.

-A processed data which has been cleaned, refined,

arranged, & combined in a manner that it is useful in research.

-Mallikarjun Dora Anil Kumar

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So, what do we mean by Research Data?

,

Includes analogue sources as well as discrete digital objects

(text, file, image, audio, video) complex digital objects and databases

-Whyte and Tedd, 2011

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Lll

Results from experiments

• Historical Diaries

• Physical Objects

• Algorithms

• Lab and field notebook

• Interview transcripts

• Photographs

• Text answers

• Methodologies &

workflow

• Correspondence

• Questionnaires

• Simulation software

• specimens

• Database

• Government record

• models

• Film footage

.docx .xls .rtf

.pdf .spss

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RESEARCH DATA is…

• Diverse

• Valuable and costly

• Driven by information intensive process

• Massive

• Complex

• Derivative

• Multi-sourced

• Sensitive

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RESEARCH DATA

No single/simple definition of what constitutes RESEARCH DATA.

 Used to support the

production or validation of original research.

 It can be born digital, or it can be analogue(and then digitised)

 IT IS SITUATIONAL…

-Sebastian Palucha Research [-Data Manager Durham University

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DATA is situational

can be use and re-used…

…for the purposes you may have thought of…

…even after you have

extracted all the value

you need from it.

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https://thelocalbrand.com/big-data-analytics-ultimate-one-page-guide/

Significant Storage

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Lost Data

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Miracle Workers: rescuing data from the jaws of disaster A fire damaged server from the University of Southampton

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https://blogs.ch.cam.ac.uk/pmr/2011/08/01/why-you-need-a-data- management-plan/

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Your data fell into the wrong hands?

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Why manage your

research data?

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• Find and understand it when needed.

• Avoid unnecessary duplication.

• To validate results if required.

• So your research is visible and has impact!

• To get credit when others cited your work.

Why manage your

research data?

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• To share your data for others to use and learn from.

• To make your research easier.

• To stop yourself from drowning irrelevant stuff.

• To avoid accusations of fraud or bad science.

• To avoid data loss!

Why manage your

research data?

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Research Data

Management

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• RESEARCH DATA

MANAGEMENT(RDM)

• Everyday management of

research data during the lifetime of a research project

• Involves decisions about how

data will be preserved and shared

after the project is completed

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• RDM

• “Understood as collecting,

analysing, publishing, re-analysing, critiquing and reusing data.”

Tammaro, Anna Marie ( 2014) ‘Research Data Management in the Curriculum: an interdisciplinary approach.

http://creativecommons.org/licenses/by-nc-nd/3.0/)

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• RDM

• “Research data management

concerns the organization of data, from its entry to research cycle

through to the dissemination and archiving of valuable results.”

Whyte, A., Tedds, J. ( 2011) ‘Making the Case foe Research Data Management”.

DDC Briefing Papers.

http//www.dcc.ac.uk/resources/briefing-papers/making-case-rdm

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RDM

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Why important…

Data, like journals and books , is a scholarly product.

Data(specially digital data) is fragile and easily lost.

There are growing research data

requirements imposed by funders and publishers

RDM saves time & resources in the long run.

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Good management helps to prevent errors increases the quality of your analyses.

Well-managed & accessible data allows others to validate & replicate findings.

RDM facilitates sharing of research data and, when shared, data can be lead to a valuable discoveries by others outside of the original team.

Why important…

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Ph D Student

Where do I safely keep my data from my fieldwork, as I travel home?

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Individual Researcher

How can I best keep years worth of research data

secure and accessible for when I and others need to re-use it?

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Research Team

How do we ensure we have

access to our research data after some of the team have left?

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How do we ensure compliance to

funders for several years of open access to data?

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How can our research

collaborations share data,

and make them available

once complete?

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Is managing data actually a job of a

university/ academic libraries?

y

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Research projects represents an

integral part of global research knowledge base.

Academic library’s current role in providing access to the

published part of that knowledge base.

Lewis, M.J.(2010) Libraries and the management of research data

http://eprints.whiteroe.ac.uk/11171

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The scale of the challenge in terms of infrastructure,

Skills and culture change

requires concerted action by a range of stakeholders,

And not just university/

academic libraries.

Lewis, M.J.(2010) Libraries and the management of research data

http://eprints.whiteroe.ac.uk/11171

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ACADEMIC LIBRARY

A leader in RDM

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…….a leader in RDM

Academic Libraries play an essential coordination role in the process of collaboration across

institution in developing RDM Program.

A facility with staff who have expertise in many issues of RDM.

Key player in data management, curation, &

preservation. (Erway, 2013, Shaffer 2013)

Lewis, M.J.(2010) Libraries and the management of research data

http://eprints.whiteroe.ac.uk/11171

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…….a leader in RDM

Have a provisioning data for research use.

Staff have existing relationship with researchers, support units & leaders across the university.

Can coordinate service across disciplines

Meet best practices in RDM

(Humphrey, 2014)

Lewis, M.J.(2010) Libraries and the management of research data

http://eprints.whiteroe.ac.uk/11171

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…….a leader in RDM

Academic librarians can coordinate RDM efforts beyond their institution,

Sharing lessons learned in professional groups.

Building partnerships with other universities to develop and test RDM solutions.

(Humphrey, 2014)

Lewis, M.J.(2010) Libraries and the management of research data

http://eprints.whiteroe.ac.uk/11171

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University of Science & Technology

of Southern Philippines

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University of Science & Technology of Southern Philippines

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University of Science & Technology of Southern Philippines

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Best Practice

File and Naming

& Organization

Use descriptive & informative file names.

Choose file formats that will insure long term access

File formats

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Best Practice

TRACK

Different versions of your documents

CREATE

METADATA

For every experiment or analysis you run

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Best Practice

Find Helpful Tools

for analysing your data

Must have storage

Backups of your data

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…….best practice

• Ethical Issues

• Sharing Data

• Get Credit

• Copyright & Intellectual Property

• Confidentiality and Privacy

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“YOU CAN HAVE DATA

WITHOUT INFORMATION, BUT YOU CANNOT HAVE

INFORMATION WITHOUT DATA”

-Daniel Keys Moran

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Email: [email protected] University of Science & Technology of Southern Philippines

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