Research data Management Workshop

Sep 22, 2019Download as PPTX, PDF0 likes44 views

Research Data Management Workshop, OpenCon Algeria 2018 by Fidelis from GIZ, Algeria. RDM session was a hands-on session equiping participants on how to incorporate RDM into their research work-flows

Research Data
Management WorkShop,
OpenCons Algeria 2018
13th December 2018

Introduction
Definition of RDM
“Research Data Management (RDM) is
the overarching process that guides
researchers throughout the different
stages of the data lifecycle, enabling
scientists and all other involved
stakeholders to make the most out of the
generated research data” (Giulia Petrovich
,Ref.)

Research
Data Life
Cycle
Giulia Petrovich, (Ref Link)

Why RDM?
? To ensure accessibility of research data
? To ensure usability and reusability of our data
? To ensure accountability (meeting the demands of
funding agencies and research guidelines)
? To ensure interoperability of our data ( the merging of
data with other datasets
? To ensure replicability, transparency, traceability and
confidentiality of data

Workshop
Instructions
Total Time allocated: 90
Minutes
Groups online research and
brainstorming: 30 minutes
Groups Presentation and
Q&A Session:
12mins/group
Number of slides for
presentation
Maximum of 6 狠狠撸s,
excluding the title page
and reference page
Fond size for slides 24
Calibri (body) and 44 Calibri
(heading)

Some
Expectations of
Workshop
Participants should be able to reflect on the
knowledge gained on the theme of Open Access
and how it applies to other aspects of research
Participants should be able understand the link
between RDM components and Open Access
The participants should be able to demonstrate
how they can contribute to open access
Participants should be familiarise with the
different components of RDM

Group 1. Research Data Management Plan
1. What is a Research Data Management Plan (RDMP)?
2. In what ways can a DMP contribute to Open data? (Group brainstorm session based on
learning from the earlier session)
3. In what ways can you apply a RDM plan to your personal research (Group brainstorming
session)
? Resource Link Intro
? Resource Link 2
? Resource Link 3

Group 2. Research Data Management Policy
1. What is a research data management Policy?
2. Can you outline some example where a RDM policy inhibits open access?
3. What possible RDM Policy will you propose for your University and why? (Group brainstorming
session)
? Resource Link Intro
? Resource Link 1
? Resource Link 2
? Resource Link 3

Group 3. Research Data Management Services
1. What are RDM services
2. List some of the research data management services in your own university (UoT or
PAUWES) and how they contribute to open access?
3. Briefly outline some advantages of RDM services for one’s research?
? Resource Link Intro
? Resource Link 1
? Resource Link 2

Group 4. Research Data Management
Principles
1. Briefly describe the 10 RDM Principles/Standards.
2. Identify and briefly discuss the RDM principles that can contribute to open access?
? Resource Link Intro
? Resource Link 1

Group 5. Research Data Management Tools
1. What are RDM tools
2. Provide a list of 5 common research data management tools available for students and how each can
contribute to at least one phase of the data lifecycle
3. Choose one social media platform (eg Facebook/twitter/ResearchGate etc) and briefly describe in a step-
wise manner how it can be used by your team to implement all 6 steps research data lifecycle (planning,
data collection, data analysis, publishing, preserving and sharing data, and re-using the data.
? Resource Link Intro
? Resource Link 1
? Resource Link 2

The document summarizes the changing landscape of libraries and information services for researchers. It discusses how researchers use information at different stages of research, from identifying existing knowledge to disseminating new findings. Researchers are increasingly using blogs, listservs, and research colleagues to discover information, rather than traditional library resources. The role of libraries, publishers, and other information providers is evolving as open access increases and data sharing becomes more important. Sustainable models are needed to meet researchers' changing needs.

Current Research Information Systemsenlightenrepository

- The document provides an overview of the University of Glasgow's research systems, including the research mapping system, research system, institutional repository, and finance and HR systems. - It describes the research lifecycle and the stages involved from pre-award through post-award project management and completion. - Details are given about the redevelopment of the research system between 1994 and 2008 to improve functionality like costing calculations and electronic document management. - Integration with the institutional repository is discussed to better link research outputs and impacts captured in the systems.

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This document discusses directions for research data management in UK universities. It focuses on the business case and sustainability for implementing research data management plans and services. Key points include identifying the need, risks of not having plans, staffing and storage costs, advocacy efforts, and long-term preservation strategies. The document also discusses incentives for researchers to properly manage data, such as reward structures, compliance monitoring, opportunities for data publication and citation, integration of support systems, and aligning job descriptions with open data practices. Overall it provides guidance on justifying research data management programs through identifying institutional needs and risks, accounting for costs and scalability, and incentivizing researcher participation.

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The document discusses the state of research data management in UK universities. It finds that while areas like data cataloguing and access/storage systems are progressing, governance of data access/reuse and digital preservation/planning are lagging. Barriers to progress include low researcher priority, funding availability, and lack of staff/infrastructure. Gaps include defining responsibilities, standards, costs, and tools. Coordination and sharing resources across institutions is needed to help universities advance research data management.

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This document discusses the role of librarians in supporting research data management (RDM). It outlines the University of East London's (UEL) approach to RDM, including developing an RDM policy and providing training to librarians and researchers. Librarians are well-positioned to help with RDM due to their expertise in managing information and commitment to long-term research. However, many librarians lack skills specific to RDM. To address this, UEL created an online training course called "supportDM" to teach librarians how to support researchers with data management plans, preservation, and sharing data. The document encourages other institutions to make use of existing RDM resources and train their own lib

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The University of Manchester has established a Research Data Management service and policy to support researchers in managing their research data. The RDM service was launched in 2011 and is a collaboration between the University Library and IT Services. It aims to provide guidance, tools, and infrastructure to help researchers comply with funder data sharing requirements and best practices for data management, storage, and preservation. Key challenges for the future include developing metadata standards, tools for data sharing and publishing, coordinating expertise across departments, and adapting to a changing research environment and funder landscape.

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Hawkins "Implementation of the CONSER Standard Record"National Information Standards Organization (NISO)

Les Hawkins discusses the development of the CONSER Standard Record (CSR) for cataloging serials. He addresses the challenges of introducing change, building trust, and clear communication. The CSR provides essential elements for users while streamlining training. It was developed cooperatively, tested at several institutions, and informed by user perspectives. While initial agreement took time, outreach, documentation, and online learning have increased adoption of the CSR over the past year.

Managing sensitive data at the University of BristolJisc RDM

Research Data Overviewntunmg

This document discusses research data management and related issues. It defines research data as any information used in research, including observational, experimental, and simulated data. Proper research data management is important for data preservation, access, and reuse. Institutions should establish research data services and policies to address questions around data ownership, sharing standards, and long-term preservation.

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Open Access and RDM policiesLaraLibrarian

This document discusses open access and research data management (RDM) policies at CPUT. It outlines that well-managed research outputs and data contribute to increased research impact. The library aims to support the entire research lifecycle through developing RDM policies, guidelines, and infrastructure. This includes establishing a Research Data Management Working Group to implement an RDM pilot project. Globally, open access and data sharing are increasingly important in light of funding requirements. The document proposes that CPUT develop and approve RDM policies to support researchers in creating, organizing, and sharing their data and research outputs.

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Sarah Jones RDM from a disciplinary perspectiveJisc

This document discusses research data management from a disciplinary perspective. It begins with an overview of case studies on disciplinary practice from various sources. It then groups disciplines into Arts & Humanities, Social Sciences, Sciences & Engineering, and Life Sciences. For each group, it discusses common practices, challenges, and examples. It also discusses a research data typology commissioned by RLUK to help librarians understand researchers' data needs and types of data across disciplines. Overall, the document provides a high-level overview of differences in research data management practices across broad disciplinary categories.

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This document discusses where collaboration on research data management (RDM) should occur. It describes potential spaces for RDM collaboration at the interplanetary, international, national, regional, and institutional levels. At the institutional level, the key components of an RDM program are identified as strategies, policies, guidelines, processes, technologies, and services. Drivers for RDM, influencing factors, and stakeholders are also discussed. Challenges to collaboration mentioned include developing a shared national vision to avoid a divided support system, and overcoming territorial and identity issues within institutions.

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RDM programme @ Edinburgh an institutional approachJisc

The University of Edinburgh has established a Research Data Management (RDM) programme to implement its RDM policy. The programme provides services and support for researchers at all stages of working with research data, including data management planning, active working file storage, data publication, long-term data archiving, and a data asset register. It is governed by committees and implemented in phases, with initial services already in place and more under development. Training, guidance and consultancy are also offered to help researchers comply with funder requirements and best practices for RDM.

SHARE Update for CNI, Spring 2014SHARE

SHARE is a partnership between higher education associations ARL, AAU, and APLU to connect institutional, disciplinary, and data repositories. It aims to (1) comply with funder public access requirements, (2) make research objects discoverable, and (3) promote research reuse. SHARE is developing a notification service, registry, discovery layer, and aggregation layer. It will benefit researchers, funders, universities, and the public by streamlining reporting, discovery, and access to research outputs.

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Practical Research Data Management: tools and approaches, pre- and post-awardMartin Donnelly

This document provides an overview of a presentation on practical research data management. It discusses the importance of research data management, who is involved in the process, and the benefits it provides, such as increased efficiency and accessibility of data. It emphasizes that data management planning is a shared activity that should involve researchers, support staff, and other stakeholders. Effective data management planning helps ensure data is organized, documented, preserved, and shared appropriately. The presentation also provides examples of what a data management plan may include and why creating one is important for collaborative research projects.

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Research data Management Workshop

1. Research Data Management WorkShop, OpenCons Algeria 2018 13th December 2018

2. Introduction Definition of RDM “Research Data Management (RDM) is the overarching process that guides researchers throughout the different stages of the data lifecycle, enabling scientists and all other involved stakeholders to make the most out of the generated research data” (Giulia Petrovich ,Ref.)

3. Research Data Life Cycle Giulia Petrovich, (Ref Link)

4. Why RDM? ? To ensure accessibility of research data ? To ensure usability and reusability of our data ? To ensure accountability (meeting the demands of funding agencies and research guidelines) ? To ensure interoperability of our data ( the merging of data with other datasets ? To ensure replicability, transparency, traceability and confidentiality of data

5. Workshop Instructions Total Time allocated: 90 Minutes Groups online research and brainstorming: 30 minutes Groups Presentation and Q&A Session: 12mins/group Number of slides for presentation Maximum of 6 狠狠撸s, excluding the title page and reference page Fond size for slides 24 Calibri (body) and 44 Calibri (heading)

6. Some Expectations of Workshop Participants should be able to reflect on the knowledge gained on the theme of Open Access and how it applies to other aspects of research Participants should be able understand the link between RDM components and Open Access The participants should be able to demonstrate how they can contribute to open access Participants should be familiarise with the different components of RDM

7. Group 1. Research Data Management Plan 1. What is a Research Data Management Plan (RDMP)? 2. In what ways can a DMP contribute to Open data? (Group brainstorm session based on learning from the earlier session) 3. In what ways can you apply a RDM plan to your personal research (Group brainstorming session) ? Resource Link Intro ? Resource Link 2 ? Resource Link 3

8. Group 2. Research Data Management Policy 1. What is a research data management Policy? 2. Can you outline some example where a RDM policy inhibits open access? 3. What possible RDM Policy will you propose for your University and why? (Group brainstorming session) ? Resource Link Intro ? Resource Link 1 ? Resource Link 2 ? Resource Link 3

9. Group 3. Research Data Management Services 1. What are RDM services 2. List some of the research data management services in your own university (UoT or PAUWES) and how they contribute to open access? 3. Briefly outline some advantages of RDM services for one’s research? ? Resource Link Intro ? Resource Link 1 ? Resource Link 2

10. Group 4. Research Data Management Principles 1. Briefly describe the 10 RDM Principles/Standards. 2. Identify and briefly discuss the RDM principles that can contribute to open access? ? Resource Link Intro ? Resource Link 1

11. Group 5. Research Data Management Tools 1. What are RDM tools 2. Provide a list of 5 common research data management tools available for students and how each can contribute to at least one phase of the data lifecycle 3. Choose one social media platform (eg Facebook/twitter/ResearchGate etc) and briefly describe in a step- wise manner how it can be used by your team to implement all 6 steps research data lifecycle (planning, data collection, data analysis, publishing, preserving and sharing data, and re-using the data. ? Resource Link Intro ? Resource Link 1 ? Resource Link 2

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