International Journal of Digital Curation <p>The IJDC publishes peer-reviewed papers, articles and editorials on digital curation, research data management and related issues. Peer-reviewed papers cover original research supported by significant evidence.</p> <p>&nbsp;</p> University of Edinburgh en-US International Journal of Digital Curation 1746-8256 <p>Copyright for papers and articles published in this journal is retained by the authors, with first publication rights granted to the University of Edinburgh. It is a condition of publication that authors license their paper or article under a <a href="" rel="license">Creative Commons Attribution Licence</a>.<br><br><a href="" rel="license"><img style="border-width: 0;" src="" alt="Creative Commons License"></a></p> Tuuli project: accelerating data management planning in Finnish research organisations <p class="BodyText2">Many research funders have requirements for data sharing and data management plans (DMP). DMP tools are services built to help researchers to create data management plans fitting their needs and based on funder and/or organisation guidelines. Project Tuuli (2015–2017) has provided DMPTuuli, a data management planning tool for Finnish researchers and research organisations offering DMP templates and guidance. In this paper we describe how project has helped both Finnish researchers and research organisations adopt research data management best practices. As a result of the project we have also created a national Tuuli network. With growing competence and collaboration of the network, the project has reached most of its goals. The project has also actively promoted DMP support and training in Finnish research organisations.</p> Minna Ahokas Mari Elisa Kuusniemi Jari Friman ##submission.copyrightStatement## 2018-02-11 2018-02-11 12 2 107 115 10.2218/ijdc.v12i2.512 Building Tools to Support Active Curation: Lessons Learned from SEAD <p class="abstract-western">SEAD – a project funded by the US National Science Foundation’s DataNet program – has spent the last five years designing, building, and deploying an integrated set of services to better connect scientists’ research workflows to data publication and preservation activities. Throughout the project, SEAD has promoted the concept and practice of “active curation,” which consists of capturing data and metadata early and refining it throughout the data life cycle. In promoting active curation, our team saw an opportunity to develop tools that would help scientists better manage data for their own use, improve team coordination around data, implement practices that would serve the data better over time, and seamlessly connect with data repositories to ease the burden of sharing and publishing.</p> <p class="abstract-western">SEAD has worked with 30 projects, dozens of researchers, and hundreds of thousands of files, providing us with ample opportunities to learn about data and metadata, integrating with researchers’ workflows, and building tools and services for data. In this paper, we discuss the lessons we have learned and suggest how this might guide future data infrastructure development efforts.</p> Dharma Akmon Margaret Hedstrom James D. Myers Anna Ovchinnikova Inna Kouper ##submission.copyrightStatement## 2018-01-02 2018-01-02 12 2 76 85 10.2218/ijdc.v12i2.552 Reuse for Research: Curating Astrophysical Datasets for Future Researchers <p class="abstract-western"><span style="color: #000000;">“Our data are going to be valuable for science for the next 50 years, so please make sure you preserve them and keep them accessible for active research for at least that period.”</span></p> <p class="abstract-western">These were approximately the words used by the principal investigator of the Kepler Asteroseismic Science Consortium (KASC) when he presented our task to us. The data in question consists of data products produced by KASC researchers and working groups as part of their research, as well as underlying data imported from the NASA archives.</p> <p class="abstract-western">The overall requirements for 50 years of preservation while, at the same time, enabling reuse of the data for active research presented a number of specific challenges, closely intertwining data handling and data infrastructure with scientific issues. This paper reports our work to deliver the best possible solution, performed in close cooperation between the research team and library personnel.</p> Anders Sparre Conrad Rasmus Handberg Michael Svendsen ##submission.copyrightStatement## 2017-12-30 2017-12-30 12 2 37 46 10.2218/ijdc.v12i2.516 When Scientists Become Social Scientists: How Citizen Science Projects Learn About Volunteers <p class="abstract-western">Online citizen science projects involve recruitment of volunteers to assist researchers with the creation, curation, and analysis of large datasets. Enhancing the quality of these data products is a fundamental concern for teams running citizen science projects. Decisions about a project’s design and operations have a critical effect both on whether the project recruits and retains enough volunteers, and on the quality of volunteers’ work. The processes by which the team running a project learn about their volunteers play a critical role in these decisions. Improving these processes will enhance decision-making, resulting in better quality datasets, and more successful outcomes for citizen science projects. This paper presents a qualitative case study, involving interviews and long-term observation, of how the team running Galaxy Zoo, a major citizen science project in astronomy, came to know their volunteers and how this knowledge shaped their decision-making processes. This paper presents three instances that played significant roles in shaping Galaxy Zoo team members’ understandings of volunteers. Team members integrated heterogeneous sources of information to derive new insights into the volunteers. Project metrics and formal studies of volunteers combined with tacit understandings gained through on- and offline interactions with volunteers. This paper presents a number of recommendations for practice. These recommendations include strategies for improving how citizen science project team members learn about volunteers, and how teams can more effectively circulate among themselves what they learn.</p> Peter Darch ##submission.copyrightStatement## 2018-03-17 2018-03-17 12 2 61 75 10.2218/ijdc.v12i2.551 Creating a Community of Data Champions <p class="abstract-western">Research Data Management (RDM) presents an unusual challenge for service providers in Higher Education. There is increased awareness of the need for training in this area but the nature of the discipline-specific practices involved make it difficult to provide training across a multi-disciplinary organisation. Whilst most UK universities now have a research data team of some description, they are often small and rarely have the resources necessary to provide targeted training to the different disciplines and research career stages that they are increasingly expected to support.</p> <p class="abstract-western">This practice paper describes the approach taken at the University of Cambridge to address this problem by creating a community of Data Champions. This collaborative initiative, working with researchers to provide training and advocacy for good RDM practice, allows for more discipline-specific training to be given, researchers to be credited for their expertise and creates an opportunity for those interested in RDM to exchange knowledge with others. The ‘community of practice’ model has been used in many sectors, including Higher Education, to facilitate collaboration across organisational units and this initiative will adopt some of the same principles to improve communication across a decentralised institution. The Data Champions initiative at Cambridge was launched in September 2016 and this paper reports on the early months, plans for building the community in the future and the possible risks associated with this approach to providing RDM services.</p> Rosie Higman Marta Teperek Danny Kingsley ##submission.copyrightStatement## 2018-02-11 2018-02-11 12 2 96 106 10.2218/ijdc.v12i2.562 Introducing safe access to sensitive data at the University of Bristol <p class="abstract-western"><span style="color: #000000;">T</span><span style="color: #000000;">he economic and societal benefits of making research data available for reuse and verification are now widely understood and accepted. However, there are some research studies, particularly those involving human participants, which face particular challenges in making their data openly available due to the sensitivities of the data. Despite its potential value to society this material is invariably kept locked away due to concerns over its inappropriate disclosure. The University of Bristol’s Research Data Service has developed the institutional infrastructure, including policies and procedures, required to safely grant access to sensitive research data in a way that is transparent, secure, sustainable and crucially, replicable by other institutions.</span></p> <p class="abstract-western">This paper looks at the background and challenges faced by the institution in dealing with sensitive data, outlines the approach taken and some of the outstanding issues to be tackled.</p> <p>This paper looks at the background and challenges faced by the institution in dealing with sensitive data, outlines the approach taken and some of the outstanding issues to be tackled.</p> Debra Hiom Stephen Gray Damian Steer Kirsty Merrett Kellie Snow Zosia Beckles ##submission.copyrightStatement## 2017-12-30 2017-12-30 12 2 26 36 10.2218/ijdc.v12i2.506 Evaluating the Effectiveness of Data Management Training: DataONE’s Survey Instrument <div class="WordSection1"> <p class="abstract-western">Effective management is a key component for preparing data to be retained for future long term access, use, and reuse by a broader community. Developing the skills to plan and perform data management tasks is important for individuals and institutions. Teaching data literacy skills may also help to mitigate the impact of data deluge and other effects of being overexposed to and overwhelmed by data.</p> <p class="abstract-western">The process of learning how to manage data effectively for the entire research data lifecycle can be complex. There are often multiple stages involved within a lifecycle for managing data, and each stage may require specific knowledge, expertise, and resources. Additionally, although a range of organizations offers data management education and training resources, it can often be difficult to assess how effective the resources are for educating users to meet their data management requirements.</p> <p class="abstract-western">In the case of Data Observation Network for Earth (DataONE), DataONE’s extensive collaboration with individuals and organizations has informed the development of multiple educational resources. Through these interactions, DataONE understands that the process of creating and maintaining educational materials that remain responsive to community needs is reliant on careful evaluations. Therefore, the impetus for a comprehensive, customizable Education EVAluation instrument (EEVA) is grounded in the need for tools to assess and improve current and future training and educational resources for research data management.</p> <p class="abstract-western">In this paper, the authors outline and provide context for the background and motivations that led to creating EEVA for evaluating the effectiveness of data management educational resources. The paper details the process and results of the current version of EEVA. Finally, the paper highlights the key features, potential uses, and the next steps in order to improve future extensions and revisions of EEVA.</p> </div> Chung-Yi Hou Heather Soyka Vivian Hutchison Isis Sema Chris Allen Amber Budden ##submission.copyrightStatement## 2017-12-31 2017-12-31 12 2 47 60 10.2218/ijdc.v12i2.508 Is Democracy the Right System? Collaborative Approaches to Building an Engaged RDM Community <p class="abstract-western">When developing new products, tools or services, one always need to think about the end users to ensure a wide-spread adoption. While this applies equally to services developed at higher education institutions, sometimes these services are driven by policies and not by the needs of end users. This policy-driven approach can prove challenging for building effective community engagement. The initial development of Research Data Management support services at the University of Cambridge was policy-driven and subsequently failed in the first instance to engage the community of researchers for whom these services were created.</p> <p class="abstract-western">In this practice paper, we describe the initial approach undertaken at Cambridge when developing RDM services, the results of this approach and lessons learnt. We then provide an overview of alternative, democratic strategies employed and their positive effects on community engagement. We summarise by performing a cost-benefit analysis of the two approaches. This paper might be a useful case study for any institutions aiming to develop central support services for researchers, with conclusions applicable to the wider sector, and extending beyond Research Data Management services.</p> Marta Teperek Rosie Higman Danny Kingsley ##submission.copyrightStatement## 2018-02-11 2018-02-11 12 2 86 95 10.2218/ijdc.v12i2.561 Encouraging and Facilitating Laboratory Scientists to Curate at Source <p class="abstract-western">Computers and computation have become essential to scientific activity and significant amounts of data are now captured digitally or even “born digital”. Consequently, there is more and more incentive to capture the full experiment records using digital tools, such as Electronic Laboratory Notebooks (ELNs), to enable the effective linking and publication of experiment design and methods with the digital data that is generated as a result. Inclusion of metadata for experiment records helps with providing access, effective curation, improving search, and providing context, and further enables effective sharing, collaboration, and reuse.</p> <p class="abstract-western">Regrettably, just providing researchers with the facility to add metadata to their experiment records does not mean that they will make use of it, or if they do, that the metadata they add will be relevant and useful. Our research has clearly indicated that researchers need support and tools to encourage them to create effective metadata. Tools, such as ELNs, provide an opportunity to encourage researchers to curate their records during their creation, but can also add extra value, by making use of the metadata that is generated to provide capabilities for research management and Open Science that extend far beyond what is possible with paper notebooks.</p> <p class="abstract-western">The Southampton Chemical Information group, has, for over fifteen years, investigated the use of the Web and other tools for the collection, curation, dissemination, reuse, and exploitation of scientific data and information. As part of this activity we have developed a number of ELNs, but a primary concern has been how best to ensure that the future development of such tools is both usable and useful to researchers and their communities, with a focus on curation at source. In this paper, we describe a number of user research and user studies to help answer questions about how our community makes use of tools and how we can better facilitate the capture and curation of experiment records and the related resources.</p> Cerys Willoughby Jeremy Frey ##submission.copyrightStatement## 2017-12-30 2017-12-30 12 2 1 25 10.2218/ijdc.v12i2.514