data management plans (dmps)- 16 feb 2017

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Webinar: Data Management Plans 16 February 2017 Natasha Simons Kathryn Unsworth

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Page 1: Data management plans (DMPs)- 16 Feb 2017

Webinar: Data Management Plans16 February 2017

Natasha Simons

Kathryn Unsworth

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The Australian National Data Service (ANDS) makes Australia’s research data assets more valuable for researchers, research institutions and the nation.

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Getting involved

#andsdata

Please use the Chatbox for questions and comments

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Data Management Plans

ands.org.au

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Todays webinar in 3 parts

1. Talks:• DMPs – overview + intro to v2.0 (Natasha)• DMP Birds of a Feather session at eResearch Australasia

(Kathryn)• DMPs at The University of Melbourne (Nick Smale)

2. Open Mike time

3. DMP Community of Practice in Australia. There will be a pop up survey for your ideas after you leave the webinar - please don’t ignore it!

We’ll relay questions and tweets during the webinar, so please Chat pod & Tweet as

things occur to you

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Natasha Simons

DMP webinar

Senior Data Management Specialist

16 February 2017

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What are Research DMPs?A research data management plan is a document that describes:

• What research data will be created • What policies will apply to the data • Who will own and have access to the data • What data management practices will be used • What facilities and equipment will be required • Who will be responsible for each of these activities.

http://www.ands.org.au/guides/data-management-plans

http://www.ands.org.au/partners-and-communities/23-research-data-things/all23/thing-15

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Why DMPs?

The carrot: improvements to efficiency, protection, quality and exposure.

The stick: basic data management is required by the Australian Code for the Responsible Conduct of Research; some funders mandate DMPs e.g. NSF.

Institutional reasons: keep a register of data creators and their needs (planning); reduce risk associated with unorganised data collection etc.

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Added incentives for researchersUniversity of Colorado Boulder 2015 DMP competition – see winners at https://data.colorado.edu/cudmpguidance

At Curtin University, data management plans are mandatory if a researcher: • Requires human or animal research ethics approval• Is an HDR (Higher Degree by Research) student• Would like access to the R: drive See http://libguides.library.curtin.edu.au/c.php?g=202401&p=1333108

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DMP tools

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Next gen DMP Tools?

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“apples” DMPs

• PDF or word doc• Not connected to any system• Complete at start of project • Outcome not measured• Not machine-readable• Private

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“apples + peanut butter” DMPs• “DMP 2.0”• Public• Measurable• Connected to at least one system• Machine readable• Consistent with FAIR principles• Flexible living document

+ = Yum!

http://web.stanford.edu/~vcs/talks/RDA-DMP-2016-STODDEN.pdf

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DMP BoF – eResearch Australasia 2016 – report back

DMPs: Aligning use to motivations and intended outcomes

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Abstract (extract)DMPs are increasingly seen as a key component of data infrastructure. Fundamentally, DMPs are a mechanism for researchers to state their intentions on how they plan to manage their data across the data lifecycle. However, the agents and motivations driving DMP use differ, providing us with a number of use cases to examine and interrogate. DMP use is now driven by multiple agents: funding bodies to encourage data sharing, researchers themselves as a project management tool, and institutions to increase researcher efficiency, for business intelligence or as a connection point for systems integration. Questions posed to presenters and the audience included:

• Why implement a DMP tool? • Does DMP use align with an agent’s motivations and more importantly with

intended outcomes? • What are the expected outcomes? • Enterprise-level DMP tools (one-size-fits-all) – what is their place in the

landscape? • Is ‘best practice’ for researchers the aim or a hoped for by-product?

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NCSUDMP Service by Cross, Davis

NSFFurther Guidance in 2017-2018Note: Machine-Readable DMPs

Research Ideas and Outcomes (RIO) journal DMP for Moore Investigator in Data Driven Discovery Grant

Public Access PlansCENDI (Federal Agencies Public Access Programs) SPARC (Federal Agencies Data Sharing Requirements)

Chris Erdmann - Chief Strategist for Research Collaboration (NCSU)

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Goal

Helping a research group to reach, document and communicate data management decisions

Live document Metadata reuse from existing systemsMetadata reuse to other systemsGuided questionsMinimum mandatory questionsConditional questions

Supporting and supported by data management governance and policy procedures

17 |

Sue Cook - Data Librarian, Research Data Support Team (CSIRO)

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Working Party

Issues

Policy & Procedure

Online Form

System Integration

Libbie Blanchard – Senior librarian, Research (CQU)

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Old UoM DMP template New UoM DMP template*

Forms

Questions

Words

Guidance

Mandatory

Purpose

* New UoM DMP template produced by Peter Neish, Nick Smale, Helen Philip-Tchepikov, Benjamin Cleary, members of the UoM DMP working group

2

90

11,689 word 40 page document

✓ (but little evidence of researchers using

it)

?

3494

-

-

-

-

-

#1 aim of helping the individual researcher for project

management

Nick Smale – Project Officer, OREI (UoM)

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DMP use cases• Funding bodies or institutions requiring researchers to complete DMPs to encourage the

sharing of better managed data – improve return on investment• Measurable outcome: Researchers who do DMPs more likely to share data

• Institutions requiring researchers to complete DMPs to effect change in researcher behaviour and practices - educative tool• Measurable outcome: Researchers who do DMPs more efficient and productive

• Institutions requiring researchers to complete DMPs to garner information about what data are being created/collected/compiled during the course of research - business intelligence tool• Measurable outcome: Institutions actively using DMP data for business purposes

• Researchers complete DMPs (or data management plans/planning) as part of their routine research project design and planning - project management• Measurable outcome: Projects that have DMPs are more efficient and better capitalised

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Senior Data Management [email protected]

NATASHA SIMONS

With the exception of third party images or where otherwise indicated, this work is licensed under the Creative Commons 4.0 International Attribution Licence.

ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program. Monash University leads the partnership with the Australian National University and CSIRO.

KATHRYN UNSWORTHData Librarian – Institutional [email protected]