RDA US Science workshop Arlington VA, Aug 2014 Cees de Laat with many slides from Ed Seidel/Rob Pennington.

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Presentation transcript:

RDA US Science workshop Arlington VA, Aug 2014 Cees de Laat with many slides from Ed Seidel/Rob Pennington

Arlington, VA, USA Meeting Aug 12-13, 2013, next to NSF Specifically to attract science groups! Not easy to get them to attend RDA meetings! Organized by NCSA Built on RDA-Europe meeting sponsored by MPG Similar topics discussed RDA US and EU participants present Numerous science communities represented Astrophysics, physics, chemistry, materials, scientific computing, earth sciences, civil engineering, National Labs, HPC centers, etc

Selected Recommendations Persistence Explore options for innovative and cost effective solutions for deploying a network of persistent data archives that would serve the needs for a range of broad communities. Investigate the time value of data for different communities of use, and use that to inform potential solutions/offerings. Persistent archives include storage, data collections, and domain-specific curation and data services

Involve domain experts in sustainability discussions and decisions. Selected Recommendations Sustainability Encourage funding for realistic data sustainability in all domains of scientific research, both public and private. Develop value propositions for all levels of funding organizations and users. Involve domain experts in sustainability discussions and decisions.

Develop or enhance linking service tools to connect to publishers. Selected Recommendations Tools Define a basic tool kit for data analysis and services, leveraging web tools where available. Connect science communities and informatics communities to develop user-requirement-driven tools. Develop or enhance linking service tools to connect to publishers. Promote the idea that software is data, and therefore discoverability, repurposing, and so on, apply to software as well as to data.

Investigate metadata-free search and discovery mechanisms. Selected Recommendations Discovery Develop curation requirements (including metadata) that enable short and long-term discovery across publication, domain repository, institutional repository. Investigate metadata-free search and discovery mechanisms. Investigate workflows that connect discovery to use.

Selected Recommendations Metadata & WorkFlow Develop interactive and automated metadata validation and extraction tools. Develop protocols to support automated and interactive metadata validation and extraction tools. Workflow Gather, understand, and disseminate best practices in workflow packages, and in how various domains use workflows, and treat workflows as data. Investigate workflows that connect discovery to use.

Selected Recommendations Provenance & Education Articulate the connection between provenance tracking and reproducible science. Encourage the implementation of automated provenance collection Education Work with educational institutions and science organizations to develop curricula and educational resources for data-intensive science Develop Data Scientist and Data Manager as disciplines.

Technology Trends Data Infrastructure Selected Recommendations Technology Trends & Data Infrastructure Technology Trends Develop technology roadmaps that inform needed resources for code and infrastructure revision, including new or disruptive technologies like cloud. Data Infrastructure Develop a new reference model to account for federated environments and their implications in all areas, and taking existing models into account. Facilitate convergence between compute (HPC, cloud), data (Big Data, long tail), and networking communities.

Summary Critical---but difficult---to engage science communities in activities such as RDA Meetings such as Munich and Arlington help; need more Draft report developed; posted for further comment Participants agreed this was useful; just a first step Anticipate a series of such workshops in coming year with multiple venues Suggest coordination with EU, US and others Recommendations to build and become more detailed Useful not only for RDA but others NDS, EUDAT, other infrastructure organizations MGI, NEON, other science domain activities

Questions? Supported by: