Research data management with Mendeley Data Electronic Lab

Research data management with Mendeley Data Electronic Lab Notebook with Hivebench Wouter Haak, Julien Therier w. haak@Elsevier. com Elsevier Research Data Management March 2018

Julien Therier Bio / Life Sciences researcher Founder of Hivebench (and now working for Elsevier – still on Hivebench) Wouter Haak Responsible for Mendeley Data (Elsevier Research Data Management) 2

3 The research life cycle depends heavily two data life cycles: 1. Within the “lab”, covering all active data in all domains 2. Within the world at large Research Lifecycle 1. Lab data Design Find Topic Identify gaps Plan & Fund Execute Discover data, people, methods & protocols Prepare, reproduce, re-use & benchmark Collect, analyze & visualize 2. Open data: data publicly available Publish Store & Share Disseminate

4 Taking the institutional lens, we can speak of 3 interlocking data life cycles Institution Monitoring and reporting 3. ‘Metrics on data’ on institutional data • Benchmark • Rank Evaluate • Manage • Preserve Research 1. Lab data Design Find Topic Identify gaps Plan & Fund Execute Discover data, people, methods & protocols Prepare, reproduce, re-use & benchmark Collect, analyze & visualize 2. Open data: data publicly available Re-using research data improves outcomes for the research life cycle • This means improving the research data life-cycles: (1) within the lab and (2) to the world at large • This also means keeping track of the institutional data lifecycles, and (3) reporting on them Publish Store & Share Disseminate

5 Mendeley Data & Hivebench A modular open platform => seamlessly integrated with Hivebench Notebook Institution Monitoring and reporting 3. ‘Metrics on data’ on institutional data • Benchmark • Rank Evaluate • Manage. Monitor • Preserve Notebook Repository Search Manager

Data Notebook: Hivebench Capture data and results in the lab With Hivebench, researchers can: • Keep track of experiments, results and data in the lab • Use your own structured protocols or import and adapt from a protocols library • Easily prepare data and results to share with collaborators and the world • Share and collaborate • Set-up and maintain groups • Access to data after project ends

Data Repository Hivebench is integrated with Mendeley Data (if you want) Store up to 100 GB of data per dataset in many formats Describe how experiment can be reproduced Create DOI for Citation (4 TU prefix) Long-term storage On your S 3 Or on DANS Link back to protocols On your (local) S 3 or on Elsevier cloud Open licences & indexed in Open. Aire data. mendeley. com Keep track of versions of dataset Metadata: Dublin Core and Google Science Datasets markup

Data. Search: now indexing over 6 mln datasets …including 4 TU (Delft, Twente, Wageningen, Eindhoven)

Thank you! Julien Therier Questions? Wouter Haak Questions?