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ROMOR Project Workshop “Research Outputs Management - Basic Level”

Parma, 6-8 September 2017
Intended audience: scholars, repository managers, staff, librarians

 

Research outputs management in a nutshell

This introductory session will provide an overview of reference models that will help to refine the range of services and infrastructure required to effectively manage and preserve access to research outputs. Key terms will be explained and contextualised to provide a solid foundation for the remainder of the workshop.

Learning objectives

After this session participants will:

  • understand what digital curation is and how it relates to research outputs management
  • be familiar with the curation lifecycle model
  • be familiar with the OAIS reference model and how it can be applied to the design of open access information repositories and related services
  • be able to communicate more consistently by ensuring a shared understanding of key terms

 

The common framework used in preparing the introductory workshop is based on the Research Data Management Services as proposed by “The Digital Curation Center”.

 

RDM Policy and Strategy

RDM Policy and Strategy

FOSTER Keywords: Research Data management Policies

 

Developing policies for research outputs management

During this session, participants will consider the range of policies needed to support the management of research outputs within their institutions.

Learning objectives

After this session, participants will:

  • be better able to audit the policies they already have in place and to scope amendments or additional policies needed to support ROM
  • have an understanding of the practical implications associated with implementing and monitoring policy compliance

 

Developing policies for research outputs management: scoping your services

When developing research output management systems, it is important to be clear on who you are developing the systems for, what you want users to be able to do, and how the service will be governed. This session will help participants to think through some of the key issues that need to be addressed before implementing any services.

Learning objectives

After this session, participants will:

  • be able to scope research outputs management (ROM) service provision at their HEIs
  • be able to identify value added services for their repositories
  • be better able to engage in strategic planning
  • have a draft value proposition for their ROM service

 

Sustainability and business planning

This session will consider the longer term sustainability of ROM services and provide an introduction to Business Model Canvas (BMC) as a tool to help develop a longer term business plan.

Learning objectives

By the end of this session, participants will:

  • be able to flesh out a Business Model Canvas (BMC)
  • and to start to develop a business plan to sustain their ROM services.

Data Management Planning

FOSTER Keywords: Research Data Management Services

 

Research outputs management: what services are involved?

Research outputs management services

Learning objectives

After this session, participants will know the components of an RDM service infrastructure:

  • RDM policy and strategy
  • Business plans and sustainability
  • Guidance, training and support
  • Data management planning
  • Managing active data
  • Data selection and handover
  • Data repositories
  • Data catalogues

Managing Active data

An introduction to Digital preservation

Learning objectives

After this session, participants will know:

  • What is digital preservation
  • How can we preserve digital object
  • How do we build a preservation plan

OAIS

Data Selection and Handover

FOSTER Keywords: Research Data Management Services

 

Making the most of research outputs

Learning objectives

Participants will learn how to:

  • define an OAI-PMH query; l
  • ook for an ORCiD profile and compare available information with the repository requirements;
  • go to a CRIS/RIMS page and detect what information can be exchanged;
  • investigate an external metadata source and illustrate what information can be useful as IR input;
  • examine a bibliometric source and define how this information can be represented in the IR

Data Repositories

FOSTER Keywords: Open repositories

 

How to design and implement research outputs repository

Learning objectives

Participants will learn how to:

Understand the role of the repository

 

Research outputs repository

Learning objectives

Participants will learn how:

To understand what is a repository system

To compare repositories

 

Audit and certification of institutional repositories

Learning objectives

Participants will know:

ISO standard

Certification authorities

 

Case studies

DSpace in Parma and Italy

DSpace installation Parma case study

DSpace in Birzeit case study

Data Catalogues

FOSTER Keywords: Research Data Management Standards

 

Metadata for Research outputs management Part 1

Learning objectives

By the end of this session participants will:

  • be better able to define minimum metadata requirements to support FAIR access to outputs (Findable, Accessible, Interoperable, Reusable)

 

Metadata for research outputs management Part 2

Learning objectives

  • Ability to register and describe data sets
  • Ability to link to related publications in OAIRs, journals or external repositories
  • Encouraging researchers to register for ORCIDs
  • Making use of internal grant IDs when describing research outputs
  • Making use of data held in other systems to reduce burden by automating description (CRIS systems, institutional publications repository)