Please move your chairs & get into groups of 3-5 people…

What will you need?

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• Your laptop 💻

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• Session slides

• Landscape review�Google sheet

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• Collaborative notes

Please be patient whilst we get set up!�What did you have for breakfast this morning?

Welcome!

The RDA’s 21st Plenary Meeting

Salzburg, Austria

Objectives:

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• Working meeting to introduce the RDA-OfR Mapping the Landscape of Digital Research Tools WG
• Start the landscape review to map different types of research tools.

Thursday 26 October 2023

Breakout

07:00 - 08:30 UTC

RDA-OfR Mapping the landscape of digital research tools WG

Thank you! And, contact

Co-chairs:

• Emmanuel Adamolekun (adamolekunoluwaseyi@gmail.com)
• Francis P. Crawley (fpc@gcpalliance.org)
• Rory Macneil (rmacneil@researchspace.com)
• Hea Lim Rhee (rhee.healim@gmail.com)
• Adam Vials Moore (adam.vialsmoore@jisc.ac.uk)

�Facilitator:

• Connie Clare, Community Development Manager, RDA, UK (connie.clare@rda-foundation.org)

A few logistics…

• Background: About the Working Group
• Shared Google folder for the WG meetings & outputs
• Documentation (notes & slides) shared on wiki page
• How to participate during this meeting:
• 📝 Sign in to our session collaborative notes
• 📹 Discussions recorded for internal use
• 🖐 Raise hand & unmute
• 💬 Add to the chat
• Take a moment to read our guiding principles and how to report a breach at the top of the Google doc
• NEW: RDA Guidance on AI Tools Usage

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Today’s session agenda

RDA-Oracle for Research Partnership

• Public-private partnership model
• Two WGs facilitated by the RDA (12 months)
• Outputs owned by the RDA community
• Supported by Oracle for Research
• RDA’s strategic plan 2024-2028
• Professional and timely facilitation to �support the global volunteer effort
• Accelerate data-driven developments

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Background and description

• Myriad of tools for managing and sharing data used throughout research data lifecycle → Overwhelming.
• Categorisation of different research tools, based on their features, functionalities and how they interoperate, remains unclear.
• Tools used across lifecycle are not always interoperable leading to siloed working and inefficient data management and sharing.

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Aim and objectives

• AIM: Categorise different types of research tools and mapping different types of research tools to the research data lifecycle based on their features and functionalities.
• OBJECTIVES:
• The creation of a research data lifecycle model and crosswalk to existing models
• The identification, categorisation, and mapping of different types of research tools: A categorisation schema
• The creation of a preliminary structural framework for an online open access ‘map of the digital research tool landscape’

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Deliverables and methodologies

Deliverable 1:

The creation of a research data lifecycle model and crosswalk to existing models

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See the harmonised cycle stages and definitions

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Tasks associated with Deliverable 1

Deliverable 1: The creation of a research data lifecycle model and crosswalk to existing models

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1. Conduct a landscape review to research and consult existing models

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• Identify common stages of the research data lifecycle for use as the framework to guide the research tool categorisation

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• Support each stage of the research data lifecycle model with terminology and definitions

Deliverables and methodologies

Deliverable 2:

The identification, categorisation, and mapping of different types of research tools: A categorisation schema

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Tool = tools enable researchers to perform one or more operations, typically on data, and often with data as the output. Tools are usually intended for use by humans. In this context we are explicitly excluding physical instruments.

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Types of research tools will be described, categorised, and mapped to the MaLDReTH research data lifecycle framework based on their utility, and assessed based on their interoperability.

Tasks associated with Deliverable 2

Deliverable 2: The identification, categorisation, and mapping of different types of research tools: A categorisation schema

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• Conduct a landscape review to research and consult different types of research tools

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• Describe, categorise and map different types of research tools to the research data lifecycle model

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• Assessment of features, functionality, and interoperability (user experience) of different types of research tools

Deliverables and methodologies

Deliverable 3:

The creation of a preliminary structural framework for an online open access ‘map of the digital research tool landscape’

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• Navigable by research data lifecycle stage
• Searchable information (e.g., features, functionalities, interoperability) about different types of research tools
• Allows for ongoing community curation and further development.
• Provide recommendations for the long-term maintenance, sustainability, and adoption of the database to ensure that it remains current, relevant, and useful for the research data community.

Timeline and milestones

WG progress and next steps -

Deliverable 1: The creation of a research data lifecycle model and crosswalk to existing models

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• Conducted a landscape review ✅

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• Identified common actions within existing research data lifecycles ✅

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• Developed terminology to support each stage’s definitions ✅

Deliverable 2: The identification, categorisation, and mapping of different types of research tools: A categorisation schema

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• Conduct a landscape review

• Describe, categorise and map the application of these research tools within our novel research data lifecycle model model - November

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• Assess their features, functionality, and interoperability - November

Breakout activity: Landscape review of types of research tools

• Each group is allocated a different stage of the research data lifecycle.

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• Identify different types of research tools mapped to stages of the research data lifecycle and start to describe them

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• Please find your tab and populate the Landscape review Google sheet �
• Divide members (3-5 people per group) - 40 MINS

1. Collect (in-person & online)

2. Process (in-person & online)

3. Analyse (in-person & online)�4. Store (in-person & online)

5. Preserve (in-person & online)

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Nominate a rapporteur to report back your findings to the group in the collaborative notes

• What tools/types of tools have you identified?
• What are their common characteristics, if any?
• What information about the tools is useful to collect

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Breakout activity: Landscape review of types of research tools

Next steps

• Expand the Landscape Review to additional stages of the MaLDReTH research data lifecycle
• Think about the characteristics of tools/tool types
• Identify criteria (inclusion/exclusion) for tools according to mapping to the stages of the MaLDReTH research data lifecycle model

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• Thursday 9 November, 11:00 - 12:00 UTC
• Agenda and collaborative notes to follow

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• Upcoming meetings, collaborative notes and presentation slides on WG webpage

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Join the WG

https://www.rd-alliance.org/groups/rda-ofr-mapping-landscape-digital-research-tools-wg

Please provide your feedback on this working group (see bottom of the collaborative notes)

1. What gaps do you see in your work or in scholarly work generally that you believe this working group might address?

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• What methodologies or mechanisms do you believe our working group should use to achieve these goals?

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• What would be the principal outputs you might suggest for our working group?

https://docs.google.com/document/d/1CXrtwrxNsB4JFWxlvsYMpSXocpj-_BCFi3rQ2MOBsQY/edit#heading=h.4h6ko2pfcmok

Thank you! And, contact

Co-chairs:

• Emmanuel Adamolekun (adamolekunoluwaseyi@gmail.com)
• Francis P. Crawley (fpc@gcpalliance.org)
• Rory Macneil (rmacneil@researchspace.com)
• Hea Lim Rhee (rhee.healim@gmail.com)
• Adam Vials Moore (adam.vialsmoore@jisc.ac.uk)

�Facilitator:

• Connie Clare, Community Development Manager, RDA, UK (connie.clare@rda-foundation.org)