Data Sharing Working Group Data Sharing Survey Analysis

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Data Sharing Working Group Data Sharing Survey Analysis Steven F. Browdy, Miles Gabriel, Greg

Data Sharing Working Group Data Sharing Survey Analysis Steven F. Browdy, Miles Gabriel, Greg Withee June 11, 2018 – GEO Symposium

Short History • Survey initially developed in Summer, 2017. • Beta release sent to

Short History • Survey initially developed in Summer, 2017. • Beta release sent to 25 national contacts. • By December, 2017 12 responses were received. • Analysis commenced in Spring, 2018. • Analysis of Beta release targeted both the responses and survey improvements.

Summary • The survey aimed to establish a data sharing baseline among GEO members.

Summary • The survey aimed to establish a data sharing baseline among GEO members. – This baseline will serve to identify strengths and weaknesses in current data sharing practices. • Due to the small number of responders in this Beta release, the results cannot be considered indicative of the entire GEO membership. • The primary audience for the analysis report are the National Contacts themselves, who responded to the Beta release of the survey, and the GEO Data Sharing Working Group (DSWG). • The DSWG is using the survey in support of the importance of data sharing and to measure its benefits as data sharing evolves.

Survey Questions • There were eight questions between the national level and agency level.

Survey Questions • There were eight questions between the national level and agency level. • National level only: – National Coordination for EO Data Sharing – Use Cases of Shared EO Data • National and Agency data policy information: – Effective date of policy – Degree of openness – Legal instrument used • National and Agency data portal information: – Means by which data is contributed to GEOSS – Specify indicators, and associated values, of data sharing

Recommended Improvements • The analysis report for the Beta release of the Data Sharing

Recommended Improvements • The analysis report for the Beta release of the Data Sharing Survey includes recommendations for improvements in three areas: – Survey modifications – QA/QC of survey responses – Survey process modifications

Recommended Modifications • Harmonize entry of information for national data policies and agency data

Recommended Modifications • Harmonize entry of information for national data policies and agency data policies. • Allow for submitting drafts and editing responses prior to final submission. • Provide past answers to questions when editing. • Improve question wording and question instructions to get better responses. • Remove question about Data Management.

Recommended QA/QC • Institute a mechanism to follow up with national contacts to improve

Recommended QA/QC • Institute a mechanism to follow up with national contacts to improve response quality. • Survey submission to follow two phases – Phase 1: Analysis team would add comments to responses to identify them as needing follow-up due to non-responsiveness or non-pertinent responsiveness. – Phase 2: For those questions that need follow-up, the DSWG or GEO Secretariat will reach out to the National Contact, clarify the question, and allow the contact to revisit the survey.

Recommended Process Improvements • The next version of the survey should be released to

Recommended Process Improvements • The next version of the survey should be released to all GEO Members, requesting additional national contacts, where needed. • National contacts should identify agency contacts, where appropriate, to complete the survey. • Data sharing policy experts and data sharing technical experts will be utilized as needed.

Examples of Data Sharing Case Studies • There are many case studies of the

Examples of Data Sharing Case Studies • There are many case studies of the success of open data sharing. • National Centers for Environmental Information (NCEI) data sharing: – Climatological and historical datasets used by San Diego Gas & Electric to save more than $2 B. – Hourly temperature data used by the U. S. trucking industry to save about $3 B per year. – Global historical climatological network data (daily) used by U. S. corn growers to minimize waste, saving $2. 7 B per year. • Greece, a survey respondent, provided 9 case studies detailing the sharing and use of data (see Analysis Report). • Impact of open data on Ukraine’s economy: • • More than $700 M contribution (0. 67% of GDP) to the economy in 2017 Benefit to the economy could increase to $1. 4 B (0. 84% of GDP) by 2025

Next Steps • Re-design the survey using the recommended improvements. • Issue a wide

Next Steps • Re-design the survey using the recommended improvements. • Issue a wide distribution release of the survey, and a call to action to GEO Members to respond. • Establish a stronger analysis baseline with the next release of the survey. • Highlight the importance of responding to the survey as a means to gauge the success and evolution of data sharing. • Remain committed to open data sharing and show its benefits through survey responses.

Countries Responding to Beta Release of Survey Responding Country Brazil China Greece Japan Netherlands

Countries Responding to Beta Release of Survey Responding Country Brazil China Greece Japan Netherlands Senegal Seychelles South Africa Sweden United Kingdom United States

Analysis Team A dedicated group of volunteers that meet every week to discuss the

Analysis Team A dedicated group of volunteers that meet every week to discuss the current Beta release responses and plan the next release (alphabetically) Name Affiliation Steven F. Browdy OMS Tech, Inc. / IEEE Remi Chandran NIES, Japan Wenbo Chu GEO Secretariat Miles Gabriel Esri UK, Ltd. Simon Hodson CODATA Annette Hollingshead Global Science & Technology Inc. / NOAA Affiliate Najimah Jones Global Science & Technology Inc. / NOAA Affiliate Michael Tanner NOAA Greg Withee USGS