NSF DataNet Partners Update at RDAP14

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The NSF DataNet Program aims to create exemplar data infrastructure organizations called DataNet Partners to provide researchers with access to data and advance research. SEAD is one such DataNet Partner that provides lightweight data services for sustainability science. It acts as an active content repository and curation service, and is developing tools for community exploration of data. The current focus is on an end-user workshop, conference demonstrations, and interface redesign to refine models for supporting the full lifecycle of research data objects.

NSF DataNet Program Update
Dharma Akmon, SEAD
Amber E. Budden, DataONE
David Van Riper, TerraPop
Mary Whitton, Datanet Federation Consortium
RDAP14 March 27, 2014

NSF DataNet Program Goal
To create a set of "exemplar national and global data
research infrastructure organizations (dubbed DataNet
Partners) that provide unique opportunities to communities of
researchers to advance science and/or engineering research
and learning"

SEAD: Sustainable Environment-
Actionable Data
Lightweight data services designed to meet the needs of
sustainability science
• support the “long tail”
• enable active and social curation
• provide integrated lifecycle support for data
@SEADdatanet

SEAD Is An Active Content Repository
@SEADdatanet

SEAD Is A Tool for Community
Exploration
@SEADdatanet

SEAD Is a Curation and Preservation
Service
@SEADdatanet

Current SEAD Developments
• First end-user workshop in early April
• Conference workshops and demos
• JASM, ESA
• Interface redesign
• Refinement of research object lifecycle models and use
cases
@SEADdatanet

SEAD Team
Margaret Hedstrom (PI)
James Myers (co-PI)
Nathan Adams
Dharma Akmon
George Alter
Carl Lagoze
Todd Stuart
Marietta Van Buhler
Praveen Kumar (co-PI)
Mostafa Elag
Rob Kooper
Jong Lee
Luigi Marini
Beth Sandore Namachchivaya
Brian Sawicki
Beth Plale (co-PI)
Katy Borner
Kavitha Chandrasekar
Inna Kouper
Robert Light
Robert H. McDonald
@SEADdatanet

Keep In Touch with SEAD!
Website: http://sead-data.net/
Twitter: @SEADdatanet
Facebook: https://www.facebook.com/SEADDataNet
Email me: Dharma Akmon, Education and Outreach
dharmrae@umich.edu @dharmaakmon
@SEADdatanet

This document provides an overview of the SEAD (Sustainable Environment and Ecological Development) services and tools for data curation, preservation, and sharing. It outlines the SEAD workshop agenda which demonstrates how to use project spaces to manage research data, metadata, and social features. It also describes how to publish and preserve data, connect with other researchers through profiles and a research network, and find data within a project space. The goal of SEAD is to provide secure, team-controlled spaces to manage research data throughout the data lifecycle and promote sharing and discovery.

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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject. We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup. Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved. The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring. The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise. By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.

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NSF DataNet Partners Update at RDAP14

1. NSF DataNet Program Update Dharma Akmon, SEAD Amber E. Budden, DataONE David Van Riper, TerraPop Mary Whitton, Datanet Federation Consortium RDAP14 March 27, 2014

2. NSF DataNet Program Goal To create a set of "exemplar national and global data research infrastructure organizations (dubbed DataNet Partners) that provide unique opportunities to communities of researchers to advance science and/or engineering research and learning"

3. Round 1 Awards (2008)

4. Round 2 Awards (2011)

5. SEAD: Sustainable Environment- Actionable Data Lightweight data services designed to meet the needs of sustainability science • support the “long tail” • enable active and social curation • provide integrated lifecycle support for data @SEADdatanet

6. SEAD Is An Active Content Repository @SEADdatanet

7. SEAD Is A Tool for Community Exploration @SEADdatanet

8. SEAD Is a Curation and Preservation Service @SEADdatanet

9. Current SEAD Developments • First end-user workshop in early April • Conference workshops and demos • JASM, ESA • Interface redesign • Refinement of research object lifecycle models and use cases @SEADdatanet

10. SEAD Team Margaret Hedstrom (PI) James Myers (co-PI) Nathan Adams Dharma Akmon George Alter Carl Lagoze Todd Stuart Marietta Van Buhler Praveen Kumar (co-PI) Mostafa Elag Rob Kooper Jong Lee Luigi Marini Beth Sandore Namachchivaya Brian Sawicki Beth Plale (co-PI) Katy Borner Kavitha Chandrasekar Inna Kouper Robert Light Robert H. McDonald @SEADdatanet

11. Keep In Touch with SEAD! Website: http://sead-data.net/ Twitter: @SEADdatanet Facebook: https://www.facebook.com/SEADDataNet Email me: Dharma Akmon, Education and Outreach dharmrae@umich.edu @dharmaakmon @SEADdatanet

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