Mixed licences and access types in repository based research outputs

Collaborative session notes: https://docs.google.com/document/d/1hsRlkU5qo95l64i_vXoESpDsIxqrsoZrhQ4QIeKsuGA/edit?usp=sharing 

The meeting will comprise a presentation to the audience detailing the work that has been done by Jisc in formulating, collecting and analysing survey responses. The presentation will start by addressing the problem and why Jisc got involved in looking for a solution from a worldwide audience. There follows a framing of the problem in both a legal and user experience context and mentions work that has been done by University of Glasgow on the legal side and by Jisc designers on the UX side. There are a set of design mock-ups that can be shown as part of the presentation to express this. Next, the methodology of the survey can be addressed before moving onto quantitative and qualitative of the survey results. Tentative conclusions can be offered before turning discussion over to the audience for further feedback. There is an expectation to produce a blog based on this meeting soon after the plenary is finished.

1. Presentation of the revised charter for Interest Group
   Christoph Bruch, Interest Group co-chair, Helmholtz Association (Slides)
   Discussion of the revised charter
2. Can we enhance data discovery by standardising licence classification? (Slides)
   Graham Parton, Kate Winfield, Sam Pepler, Centre for Environmental Data Analysis (CEDA), STFC, UK
   The UK's Centre for Environmental Data Analysis hosts an archive of over 200 million files in nearly 6000 datasets. With such large collections a data catalogue can provide many search facets to help identify relevant datasets to aid users to hone down the options to those most relevant to their work. However, after all that work the user may then meet one last hurdle - that the data licence doesn't permit them to make use of the data! At the same time archive funders may want to ask questions such as 'how many datasets are available for commercial users?'
   To address such use-cases CEDA undertook a review in 2014 of the data licences used in a bid to classify these licences by type of permitted use (e.g commercial, personal, educational, policy). However, the classification scheme was determined by existing cases seen from our licences, as opposed to some standard scheme. At present CEDA's classifications are purely internal and to date have only been used to aid listing datasets available for commercial use. We would like to expand on this further, but in doing so seek to use a standard classification scheme with the hope that this may be added into metadata exports too. Yet, to date we have been unable to find such a classification scheme to use.
   Recent discussions on the Research Data mail list indicates that this is an area of wider interest to the research data management community. A poster at the 14th RDA plenary seeks to be a focal point to gather people's thoughts, suggestions and questions to aid this discussion and hopefully point a way forward to establishing such a scheme. To compliment the poster this presentation will cover the work undertaken to date by CEDA in producing a 'permitted use' data licence classification code list.
   This code list has been developed based on experience of reviewing over 100 licences used by CEDA over the years and seeks to address the following use cases:

• Provide a search mechanism for stakeholders to find datasets for a given use type
• A quick short hand to show users permitted use of dataset on catalogue record views and listings
• Aid internal review to find meaningful licences (and avoid re-use of old, unsuitable licences)
• Ensure that licences have been check if they are legally sound 5) Aid licence selection for DMP purposes

The presentation seeks wider comments, suggestions and discussion with the hopeful end of a wider adoption of such an approach.

3. UX challenges with mixed licences and access types in repository based research outputs – international survey results (Slides)
   Tom Davey, Jisc; Dom Fripp, JISC
   A few months ago, Jisc launched a survey to repository staff around the world to establish how researchers and support staff managed deposits with multiple licences and access types. The plan was to assess whether there was any consensus around best practice, identity pain points and use the results to inform the UX design of the repository component of the Jisc Open Research Hub. 30 teams from around the world replied, giving rich and detailed responses to the problem. This presentation reveals the survey results to the international RDA audience, assesses the emergence of best practice and how it can be incorporated into repository UX design thinking.
4. Discussion of IG next steps

Graham Parton CV
Graham Parton is a senior environmental data scientist at the UK's Centre for Environmental Data Analysis. Since joining in 2007 Graham has supported the research community wishing to archive, discover and use meteorological, climate change and earth observation data through his direct support to data providers, involvement with the development of CEDAs catalogue service and end-user support for observational data in particular. His broad reaching role and research background means that Graham has an awareness of the full data lifecycle and awareness of the impact on the wider community of well-developed and standardised services and curated archive content.

Tom Davey CV
Tom Davey holds an MSc in Informatics, and is Jisc’s User Experience Specialist. He helps teams apply design and UX practice to a range of services and projects across Jisc. Prior to Jisc he worked in a variety of advisory and delivery roles around e-Learning tools and platforms in education, including in universities, schools, and from Apple regional training centres.

Dom Fripp CV
Dom Fripp is product manager in the Innovation & Analytics team at Jisc in the UK. He has spent six years working in the area of research data management and has specialised on digital infrastructure to support the collection, storage, preservation, discoverability and sharing of research outputs.