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Research Data Managemen t (RDM) 19.10.16 Ben Mollitt, Research Data Manager

Researcher KnowHow: Research Data Management

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Page 1: Researcher KnowHow: Research Data Management

Research Data

Management (RDM)19.10.16Ben Mollitt,

Research Data Manager

Page 2: Researcher KnowHow: Research Data Management

This session will cover:

what is research data and RDM?

the benefits of RDM and making research data openly available

policy environment and funders’ expectations

research data lifecycle

support and resources for managing your data

demonstrations of useful tools / services

Overview

Page 3: Researcher KnowHow: Research Data Management

What is research data?

Any recorded information necessary to support or validate a research project’s observations, findings

or outputs, regardless of format.

https://www.liverpool.ac.uk/media/livacuk/computingservices/research-data-management/researchdatamanagementpolicy.pdf

Page 4: Researcher KnowHow: Research Data Management

What is research data management?

“an explicit process covering the creation and stewardship of research materials to enable

their use for as long as they retain value.”

Data Management is part of good research practice

Page 5: Researcher KnowHow: Research Data Management

Benefits of managing research data and making it openly available

- Integrity and efficiency of research- Impact and visibility of research- To stop yourself drowning in irrelevant information- In case you need the data later- Increased citations- Data sharing and re-use- Avoid duplication- Interdisciplinary collaborations - Data security and preservation- Enables easier location and understanding of files - Compliance with funder policies

Page 6: Researcher KnowHow: Research Data Management

Trend towards coalescence on open research data

Principle 1 - enabler of high quality research, facilitator of innovation and safeguards good practice Principle 2 - sound reasons why openness may need to be restricted but must be justified and justifiablePrinciple 3 - carries significant cost which must be respected by all partiesPrinciple 4 - right of the creators to reasonable first use is recognisedPrinciple 5 - use of others’ data should always conform to legal, ethical and regulatory frameworkPrinciple 6 - good data management is fundamental to all stages of research process and should be established at outsetPrinciple 7 - data curation is vital to make data useful and for long-term preservationPrinciple 8 - data supporting publications should be accessible by the publication date and citeablePrinciple 9 - support for development of appropriate data skills is recognisedPrinciple 10 - regular reviews of progress towards open data should be taken.

http://www.rcuk.ac.uk/documents/documents/concordatonopenresearchdata-pdf/

Page 7: Researcher KnowHow: Research Data Management

What do funders ultimately expect?

Data management plan

Timely release of data

Open data sharing

Preservation of data

Page 8: Researcher KnowHow: Research Data Management

The Research Data Lifecycle

PLAN

RE-USE

PUBLISH & SHARE

CREATE & ORGANISE

STORE

PRESERVE

Page 9: Researcher KnowHow: Research Data Management

The Data Lifecycle - Plan

PLAN

RE-USE

PUBLISH & SHARE

CREATE & ORGANISE

STORE

PRESERVE

Data Management Plans

Ethics

Intellectual Property

Page 10: Researcher KnowHow: Research Data Management

DMPonline

dmponline.dcc.ac.uk

• A web-based tool to help researchers write data management plans

• Contains templates and guidance for many of the main funders

• Allows DMPs to be shared with collaborators as they are being developed

• Facility to export DMP in a variety of different formats for submission with a grant application

• Funder templates will be customised with Liverpool-specific guidance and best practice examples

Page 11: Researcher KnowHow: Research Data Management

The Data Lifecycle - Store

PLAN

RE-USE

PUBLISH & SHARE

CREATE & ORGANISE

STORE

PRESERVE

Storage options

Access options

Security

Back up

Page 12: Researcher KnowHow: Research Data Management

Liverpool’s Active DataStore• Fast, high quality, high

capacity storage with guaranteed backup and resilience

• Data is conveniently accessible from wherever and whenever required using DatAnywhere

• 1TB of storage per research project by default. Additional storage available on request https://liverpool.service-now.com/ess/order_rdm.do

Page 13: Researcher KnowHow: Research Data Management

The Data Lifecycle – Publish & Share

PLAN

RE-USE

PUBLISH & SHARE

CREATE & ORGANISE

STORE

PRESERVE

Where to publish

Data access statements

Licensing

Page 14: Researcher KnowHow: Research Data Management

Domain data repository

General data repository e.g. Figshare, Zenodo, Dryad

Institutional data repository – Liverpool’s DataCat

Journal supplementary material

Project or departmental web page

Options for publishing data

Page 15: Researcher KnowHow: Research Data Management

What is metadata?

Data about data

Metadata for DISCOVERY

Metadata enabling REUSE

It can be helpful to define research metadata by its use:

Page 16: Researcher KnowHow: Research Data Management

DataCat: Liverpool’s Research Data Cataloguedatacat.liverpool.ac.uk/

• Create records of information about finalised research data, and save data in a secure online environment

• Two types of record:Discovery-only – data is held

elsewhere but a record is provided to help people find it

Discovery and data – data is also deposited into DataCat, which creates a Digital Object Identifier (DOI) for citations

• Not for storing of active data, i.e. data being added to, or not yet cleaned and processed – see Active DataStore

Page 17: Researcher KnowHow: Research Data Management

Data Access Statements

Data Access Statement: All data supporting this study are openly available from https://dx.doi.org/10.17638/datacat.liverpool.ac.uk/171

Page 18: Researcher KnowHow: Research Data Management

The Data Lifecycle – Re-use

PLAN

RE-USE

PUBLISH & SHARE

CREATE & ORGANISE

STORE

PRESERVE

• Data Citation

• Innovative reuse

• Secondary/Meta Analysis

• Teaching and Learning

Page 19: Researcher KnowHow: Research Data Management

• A dataset citation includes all of the same components as any other citation

• Creator (Publication Year): Title. Publisher. Identifier

Data Citation

Example:

Irino, T; Tada, R (2009): Chemical and mineral compositions of sediments from ODP Site 127-797. Geological Institute, University

of Tokyo. http://dx.doi.org/10.1594/PANGAEA.726855

Page 20: Researcher KnowHow: Research Data Management

Summary of RDM services at Liverpool

Data Management Planning DMPonline – customised for Liverpool

Active DataStore Storage infrastructure and secure backups for active data

Data Catalogue Preservation and sharing of finalised research data Dataset validation – checking of the metadata DOI minting – to provide a persistent identifier for datasets

Page 22: Researcher KnowHow: Research Data Management

Thank you.