Springer Nature's second hack day is bringing together developers and international researchers to build and use tools to advance data sharing, reuse and discovery.
Attendees will have the opportunity to:
- Help develop new applications that use data and metadata produced in scholarly research
- Infer new research insights from published data
- Engage with software developers and international researchers
- Connect with the Springer Nature product, technical and research data teams
- Provide feedback on usability of publisher and repository datasets
- Access Springer Nature content to test and develop their tools
- Explore and enable research data sharing and reuse
Participants are encouraged to explore ways to combine and mine existing publication-related datasets and metadata.
Building on the success of the last Springer Nature SciGraph Hack Day, participating teams will be encouraged to focus their efforts on three main areas:
- Data linking
- Data visualisation
- Data curation
Combined these sources provides access to data for 1000s of journal articles and associated data. Access to internal data sources is limited to the duration of the hack but provides unprecedented access to proprietary data. Data sources include:
- DataCite API
- EU PubMed Central OAI
- EU PubMed Central Open Access subset
- Figshare API
- Microsoft Azure Academic Knowledge API
- Registry of Research Data Repositories
- Several Springer Nature APIs (available on the day and including fulltext access for 1000s of journals)
- SciGraph Linked Data
- Chat room
- Google Cloud Platform is avaibale during hackday for VMs, Databases, Storage, Machine Learning and more
- Colaboratory
Wednesday, 29 November 2017
- 9 am: Reception with coffee and breakfast sandwiches
- 9.30–9.40 am: Welcome by Henning Schoenenberger
- 9.40 – 10.00 am: Springer Nature’s Research data vision by Grace Baynes
- 10.00 – 10.30 am: Overview of data and content sources by Michele Pasin & Tomas Ramanauskas
- 10.30 – 11.00 am: Present ideas and use cases to work on and to create working tracks by Iain Hrynaszkiewicz
- 11.00 am – 5.00 pm: 6 hours hack sprint (food and drinks served throughout the event)
- 5.00 - 5.45 pm: Presentation of results by Henning Schoenenberger – followed by award ceremony
- 5.45 - 6.00 pm: Lessons learned & wrap up by Grace Baynes
- 6 pm-open end: Social event: let’s grab a drink @ a pub
The benefits of improving research data (through curation, linking or visualisation) impact on individual researchers, specific research communities and society as a whole. Improving research data's findability, accessibility, reusability and interoperability will improve science as a whole!