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The main objective of this deliverable is to provide resources that can assist life sciences researchers and data stewards in creating reference Data Management Plans (DMPs) for their research projects. The resources provided in this deliverable are intended to promote good research data management practices across the EU research landscape.
To achieve this objective, a range of activities were undertaken, with a particular focus on the needs of the different domains covered by the demonstrator use-cases. In order to create these resources, the RDMkit pages were extended to include domain-specific information, which can be used as a reference when developing DMPs for different research projects. These pages fall under the "Your Domain" category and provide specific information on the data management needs and considerations for each domain. They also highlight challenges that are specific to each domain, such as data types, species, or areas, and offer solutions and considerations to overcome these challenges. In this deliverable, the RDMkit page for the Toxicology data demonstrator use-case was completed and added to the existing RDMkit pages for the other demonstrator use-cases. Additionally, a new Tool Assembly was added to the RDMkit corresponding to the Plant Sciences demonstrator use-case, covering the entire life cycle of experimental plant phenotyping data.
In addition, the general Knowledge Models (KMs) of the Data Stewardship Wizard (DSW) were adapted to address the specific DMP questions needed for each demonstrator use-case. The DSW is a collaborative tool that enables data stewards and researchers to efficiently create DMPs for their research projects and it is designed with a hierarchical KM that guides users through the creation of DMPs. Since the relevant information for DMPs can vary across different domains, these KMs can be modified to contain the information relevant for each demonstrator use-case. For this deliverable, special focus was put on two of the demonstrator use-cases, namely Toxicology and Epitranscriptomics data. Additionally, related to the Human Data use-case, separate efforts are underway to enhance the sensitive data section of the KM system to ensure the proper management of such data. The improvements and new question suggestions that were found during these sessions were incorporated into the DSW KM by the DSW team.
Furthermore, DMP templates were created in DSW for the demonstrator use-case using two standard approaches: creating a KM or a project template (PT). When creating a PT, a set of answers is saved and can be used to generate a partially pre-filled questionnaire for a new project. In the ideal case scenario, the two methods can be used together to provide domain-specific recommendations by answering questions that better reflect a scientific domain, such as metadata standards.
In conclusion, this deliverable provides several valuable resources for life sciences researchers and data stewards, including extended RDMkit pages, customised DSW KMs, domain-specific DMP templates, and a new KM for creating DPIAs. These resources are designed to encourage good research data management practices across the EU research landscape, ensuring that valuable research data is effectively managed before, during, and after a project.
One of the objectives of WP5 was to identify the needs in terms of capacity building, in the context of the 6 use cases, and to develop strategy(ies) in collaboration with WP2 to address these needs. This was achieved in three steps:
Create an inventory of training resources available in the context of the use cases
Send an online survey followed by a series of F2F meetings with each use case to collect their training needs
Test the development of learning paths as a method to develop a structured overview of training needs in relation to a use case
The method set up by the ELIXIR Training Platform to better structure the development of training resources was proved very helpful to specify the needs in terms of training and capacity building in the context of the use cases. Spelling out the priority in terms of training target and the learning path to follow to reach this target is a way to detail the different modules that are necessary. It is then possible to map on these modules the training resources that are already available and to derive a list of gaps. This method was applied for three demo cases successfully in the Plant, Marine metagenomics and Human Genome data contexts.
In terms of general organisation of community resources to facilitate this type of approach, the most important actions are to make the training materials accessible for reuse and easy to find. Versioning is highly desirable, to facilitate collaborative development and maintenance of training material of the time and a DOI attribution will facilitate citation and long term findability. Findability requires additional work to organise the training events and training resources in categories and/or facilitate filtering in the context of catalogues of training resources such as TeSS or Glittr or of knowledge hubs such as the RDMkit. This is achieved in TeSS, through the annotation of the training material and linked training events with ontology terms from EDAM, as well as with custom keywords.
The overall goal of ELIXIR-CONVERGE’s WP5 was, based on the analysis of a set of very diverse use cases, to contribute to the development of a set of resources supporting the development and implementation of Data Management Plans (DMPs) in national and transnational projects. Six use cases were considered to co-develop and test a method to address domain specific data management planning associated to a set of resources in collaboration with WP1, WP2 and WP3. In this context, another objective of WP5 was to develop, implement and refine key performance indicators (KPIs) in order to monitor the demonstrator projects’ implementation of data management plans and possibly assess their adoption by the relevant community.
WP5 developed two sets KPIs in collaboration with WP4, in charge of developing KPIs across the entire ELIXIR-CONVERGE project and for assessing the impact of the project :
a first set aiming at monitoring the development of guidance, resources for the development of DMP and for training in the context of the use cases
a second set aiming at addressing the adoption of these resources by relevant communities of users as a way to assess the impact of the work achieved
In parallel, in order to ensure long term maintenance/update of the developed resources and to increase their impact, WP5 started to engage with ELIXIR communities that could be natural owners of these resources.
The KPI developed and collected by WP5 during the ELIXIR-CONVERGE project were useful to follow the partner’s progress in the development and test of a sort of starter kit for domain specific data management support. Success stories could be collected showing adoption by communities and new projects and were mapped on ELIXIR’s categories of impacts showing already “hits” on several of these.
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