VALA2022 CC1 Splawa-Neyman

Researcher Engagement Framework: when your boss tells you to promote RDM, how do you do it?

VALA2022 CC1 TABLE 1
Wednesday 15 June 2022, 09.15-09.45 and 09.55-10.25

Patrick Splawa-Neyman
  • Health Data Librarian
  • Monash University Library

Please tag your comments, tweets, and blog posts about this session: #vala2022 #cc1

Abstract

The Researcher Engagement Framework was developed due to the growing requirement for librarians to engage with researchers to promote library services. The Researcher Engagement Framework is a tool primarily for librarians who do not have a research background, and aims to improve the likelihood that a promoted library service will be valued and supported by academics. It is a guide to assist with interactions, not a replacement for thorough preparation.

The Framework was developed based on experience in libraries in higher education. Librarians and research support staff in institutions across Australasia are expected to use existing skills to promote unfamiliar data management tools and services. The problem that often arises is that librarians are left directionless in an unfamiliar environment without a clear directive to follow. The Framework was developed to provide librarians with structure for researcher interactions specifically when discussing research data management. It has not been formally evaluated except empirically by using it in interactions with researchers. The feedback and observations from these interactions have then been used to update and modify the Framework.

This Framework has not been extensively tested therefore I hope to gain valuable insight from the participants into how it can be implemented for data management, how it can be implemented beyond data management and any other factors that have not been taken into consideration.

The Framework is composed of three components:

1. Categorisation – aims to place researchers into one of four quadrants based on their data management knowledge and desire for data management knowledge. This answers the question of what level of support librarians can expect to receive from researchers. Categorisations include advocacy, learning, disinclination and ambivalence.

2. Considerations – aims to ensure that what is important to researchers is taken into account. This will assist librarians to be aware of all aspects of research and help uncover why a library initiative might meet with resistance. Considerations include cost, time, restrictions, value and pitfalls.

3. Metrics – aims to measure from an institutional perspective which researchers are the most successful and valued. This may help to uncover reasons why a proposal might meet with resistance. Metrics include completions, publications, grants and citations.

The Critical Conversation will also include the advantages and limitations of the Framework.

Biography

As a project manager in data management Patrick has a proven track record of deeply engaging with researchers, raising the profile of open scholarship and open data, and successfully working collaboratively across institutions. His unique blend of skills from pharmaceutical sales, and sales and marketing for an open data vendor has led to the practical application of research data management support. He is motivated to support researchers and support staff to make informed, data-driven decisions.

This work is licensed under a Creative Commons Attribution-NonCommercial License.

VALA2022 Onsite Session 4 Splawa-Neyman

What the dickens is a data concierge? Researcher interviews and data management reviews: misinformation, appreciation and remediation

VALA2022 CONCURRENT 4

Tuesday 14 June 2022, 15:15 – 15:45

Patrick Splawa-Neyman
  • Open Scholarship and Data Services Liaison Librarian
  • Monash University

Please tag your comments, tweets, and blog posts about this session: #vala2022 #s4

Read the paper and view the presentation recording and slides here:

Abstract

The Data Concierge Project investigated the data management practices of 232 researchers and graduate research students at Monash University in 2020, and uncovered a need to more deeply and personally engage with researchers. The Data Management Reviews Project followed in 2021 and applied the newly acquired knowledge to provide one-on-one assistance to researchers. Feedback from researchers confirmed the value of the reviews and the need for closer engagement. An evidence-based practice model is used to assess how well researchers are being supported, and the paper concludes with ten core researcher engagement principles.

Biography

As a project manager in data management Patrick Splawa-Neyman has a proven track record of deeply engaging with researchers, raising the profile of open scholarship and open data, and successfully working collaboratively across institutions. His unique blend of skills from pharmaceutical sales, and sales and marketing for an open data vendor has led to the practical application of research data management support. He is motivated to support researchers and support staff to make informed, data-driven decisions.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License

VALA2020 Session 12 Splawa-Neyman

Data Management Appraisal Project: how do you track research in a school with over 1,000 researchers?

VALA2020 CONCURRENT SESSION 12
Thursday 13 February 2020, 12:00 – 12:30

Patrick Splawa-Neyman
  • Health Data Librarian
  • Monash University

Please tag your comments, tweets, and blog posts about this session: #vala2020 #s28

Read the paper, view the video of the presentation on the VALAView channel and view the presentation slides here:

Abstract

Monash University Library and Monash University’s School of Public Health and Preventive Medicine jointly appointed a Health Data Librarian to the Data Management Appraisal Project (December 2018 to December 2019). The project objective was to ascertain current data management practices in the School. The result was the creation of a data management tool consisting of a research catalogue, data management plan and GDPR checklist. The tool will allow the School to report on where data is stored and who is responsible for it, while assisting researchers to comply with the Australian Code for the Responsible Conduct of Research

This work is licensed under a Creative Commons Attribution-NonCommercial License.

VALA2016 Session 2 Weatherburn

VALA2016 Conference Logo
vala peer reviewed
Patrick Splawa-Neyman
Patrick Splawa-Neyman
Jaye Weatherburn
Jaye Weatherburn

Data neophytes: first steps into the research data abyss

VALA2016 CONCURRENT SESSION 2: Data Stuff
Tuesday 9 February 2016, 10:50 – 11:20
Persistent URL: http://www.vala.org.au/vala2016-proceedings/vala2016-session-2-weatherburn

Patrick Splawa-Neyman

Monash University, Vic

Jaye Weatherburn

Swinburne University of Technology, Vic

Please tag your comments, tweets, and blog posts about this session: #vala16 #s4

Read the paper, view the video of the presentation on the VALA2016 GigTV channel and view the presentation slides here:

Abstract

This paper explores the roles, functions, and possible definitions of data librarians based on two Australian National Data Service (ANDS) case study projects at Monash University and Swinburne University of Technology. The experiences, challenges, and achievements from these research data management projects are examined by discussing the various factors involved, such as liaison with researcher and organisation stakeholders, and the implementation of technological solutions.

 

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This work is licensed under a Creative Commons Attribution-NonCommercial License.