Please reply to this topic sharing how you would like to or can see yourself using the PID Graph in your work. We’d really like to hear your plans and thoughts.
In the interest of sharing here, I am working at Digital Library Services (DLS) at the Libraries at University of Cape Town (UCT), and I have suggested the use of the PID Graph in the context of a Working Group that I am currently leading as one of our many contributions to the eResearch centre at UCT. The group’s aim is to integrate and streamline DMP business processes, which is part of the overall strategic ‘Research Data Integration’ project.
Our focus as a stakeholder community of administrators involved in providing DMP (data management planning) services to the researcher community at UCT, is to think through leveraging the new machine-actionable functionality of the upgraded UCT DMP platform] (https://dmp.lib.uct.ac.za/), now running on the DMP roadmap codebase, and to identify, plan for and create integrations with other systems (CRIS/RIMS, repositories, ORCiD, etc) with the overall aim of:
- improving discovery and reporting functions (reduce risk)
- increasing accuracy, speed and ease of use (reduce data friction)
In preparation for WG meetings, I have asked the group members to read the following:
- Project FREYA: the PID graph
As well as:
- Ten simple rules for machine-actionable data management plans (preprint): https://zenodo.org/record/1434938#.XThMRiVS-wQ
- Machine-actionable DMP workshop: defining requirements and priorities in the South African context : https://zenodo.org/record/1451956#.XThMOiVS-wQ
- Scholix Framework presentation delivered by Paolo Manghi at eResearch Africa 2019 conference: https://doi.org/10.5281/zenodo.2641760
- A resource suggested by TENET: […] providing a pre-built integration with ORCiD : https://orcidhub.org.nz/
- Further resources provided by the Australian AAF ORCiD consortium : https://aaf.edu.au/orcid/resources.html
Currently, we are still mapping the project together (identify Purpose, Scope, Objectives, Stakeholders, Schedule and Risks).
Should anybody have suggestions to make to me/us at this early stage, please feel warmly invited to do so. I would like to add that the task can seem a bit daunting, because all the members come from different areas and levels of expertise and experience, and it is often difficult to identify the most auspicious path and pace forward for the group as a whole. For example: while the PID Graph looks amazing, and makes a lot of sense visually, not everyone is quite sure yet what they can DO to implement its proposed/potential functionalities at our institution.
Hi there Niklas,
Thanks for sharing what you’re doing around DMPs at UCT. FREYA colleagues at DataCite are taking on work relating to machine actionable DMPs and looking into how to integrate these in the PID Graph. Notifying @mhfenner and @daslerr here, who could point you to any current developments in this regard.