IdeasAreasActionsPerformance Measure LeadsTargets (Date, Platform)
Increase “discoverability” (open search- discovery cluster)Science / TechnologyIdentify and include specific actions in the Discovery cluster task plan to carry out annually# of actions, # completed by targetDiscovery cluster chairannual review Increase discoverability of what? Data, services, models, tools, experts, trainingAt the minimum data and services. Align with Discovery cluster's task that identifies, promotes and demonstrates data products and tools for disaster decision making.And tools. Without tools to do something useful with the data and services, potential users will have difficulty using the data and services.
Engage with other groups working on lists/registries of services, standards, and tools (EC Committees/WGs, ESIP Clusters). Expand Interoperapedia and/or develop other training/education materials.IT&I CommitteeSession at Summer meeting, EC All-Hands mtg, etc.
Promote Earth science education in general, focusing more specifically on opportunities to learn/teach analysis of Earth Science data. Target audiences include "temporary" educators (TAs, mentors, etc.) as well as traditional educatorsEducationSupport a face-to-face workshop for educators at summer meetings. Inventory existing opportunites for educators to learn about data analysis and consider if we can contribute. Reconsider ability to support additional partnerships. Consider transitioning focus from k-12 to undergrad/grad university audience, increase focus on teaching / learning about data.# of actions, # completed by targetEducation Committee chair, Climate Change Education cluster chairannual review While we want to promote Earth science education and make Earth data available for education, ESIP's educational role might be better focused on training and capacity development related to Earth science informatics, computation and the like. Suggest we refocus this goal.Align with Education Committee's goals
Consider if our efforts can support next generation science standards or citizen science efforts.annual review/meetings? Again, suggest focus on ed actiities related to ESIP strengths
Teach domain scientist to do Data Science (and computation thinking) too! (bridge gap between domain and CI) (meeting workshop, internal development, data analytic cluster), develop strategy to engage domain scientists, get the discussion going, create best practicesScience/ Technology / Education- Identify and include specific actions in the Data Analytic cluster task plan to carry out annually.
- Hold data science workshop at each meeting (e.g, create a data analysis tool kit and catalog)
- Create a library of skills needed to be a Data Scientist (may include several sets of skills, depending on application).
- With engagement of interested educators (some which are already part of the Federation), develop advanced degree curriculums of study to prepare Earth Data Scientists
- Create a library of Earth science data analytics use cases
- Analyze tools/techniques by which researchers perform their research; Categorize Earth science data analytics tools/techniques by types of research, types of users, difficulties, other findings, etc.
# of actions, # completed by targetData Analytic cluster chair, Software cluster chair, and ErinMeetings+Need to engage the domain scientist with the understanding of why it is important for them be a data scientist that goes beyond just their research. Many domain scientists apply their derived data analytics to their research. So, why would they want to go beyond that, into the realm of data science (i.e., how does it help their research). Of course, there are domain scientists who would be interested in understanding and pursuing data science, but these are the questions we should answer to attract potentially interested domain scientists.
Data Science training for CI people (identify trainers & budget)DS workshop at all meetings:
- Identify 2 to 4 bona fide (not just self proclaimed) data scientists to be the 'stars' of a workshop (Evaluate their qualifications: papers, projects, past experience, etc.)
- Develop an agenda that describes/teaches what is needed to perform data science
- Announce workshop
- Logistics: Can we invite outside experts? Would the Federation typically pay their per diem? Is announcement to the workshop limited to ESIPs? Last question: So far I have found interest in the subject matter within the Federation, but no one breaking down the data scientist doors. We could have partners invite interested colleagues. I guess, if peopleare interested they will come.
Meetings+So I think row 8 targets CI folks and row 7 targets domain scientists. I vuess being very different audiences, they should remain separate. How far does our vision go? ESIP is mostly CI folks, but I think there are also many domain sicnetists. Is this about right?
Communicate tools and techniques that facilitate data analysis, integration, and gleaning information and knowledge (thru the testbed, prototypes that can turn into operations)Meetings/Blogs+This is indeed a goal of th Dta a Analytcs cluster, although I admit, we are stilllearning how this will shape up, based on use cases we have so far acquired (it ain't that straightforward yet). However, yes, ths is a good goal, and one that might be refined as we go along.
Data Analytics cluster - Catalog Earth science data analytics tools and techniques; Perform and document gap analysis between available tools and techniques and needs determined per Use CasesTechnology / ServiceOperational Tool Kit and catalog
- Number of use cases
- Draft and Final 'peer reviewed' Data Scientist degree curriculum
- Catalog of Data Analytics tools/techniques
- Establish types of Earth science data analytics
- Evaluate 10 tools for matching with specific data analytics
ESIP Website
- Annual review of accomplishments
+suggest a starting place for list of tools on data analytics is the "sensor management" entry on envirosensing site, which contains a list of about 10 tools we have evaluatedJust added a possible IT&I item above (in "improve discoverability" row) on engaging groups that are developing lists/registries of services, standards, and tools. Maybe some combining of efforts possible.
Leverage ESIP member activities and products + contracts to provide services to agencies.ServiceIdentify and include specific actions in the clusters/working groups work plan to carry out annually (e.g,. disaster cluster testbed to host data products and tools, present to agency stakeholder such as Applications?)# of actions, # completed by targetErin and group leads (e.g., Disaster Lifecycle chairs and Dave Jones)ESIP Website
List data providers that could help use dataServiceCreate and recruit a network of usability engineer, and a directory? Usability WG?# of actions, # completed by targetESIP WebsiteWhat does this mean?Connect users to people who has knowledge about the data
Consider the generative value of data/systems/softwareData Study GroupThis is something the Data Study working group has included in their report. Suggest we drop this from this context; but make sure it stays as part of the Data Study effort.
Commonality - a manageable set of data models, toolsTechnologyIdentify and include specific actions in the Semantic Web cluster task plan to carry out annuallySemantic Web cluster chair(s)Whether data models (HDF, netCDF, CDM, OGC) or ontologies, isn't interoperability more important (and possible) than limiting the number.
# of actions, # completed by targetESIP WebsiteIf this is to be lead by Semantic Web Cluster then we should change "common data models" to "ontologies" or "semantic metadata". I would consider something like HDF to be a "data model" and I don't think that's what we're after in this action item. This can be facilitated by the ontology portal, which is an ongoing priority in the Semantic Web ClusterCan the semantic web cluster chairs chime in on this? Not sure if there's actually any existing common data models. HDF is a standardized data format.if what is meant by this is structural patterns in data storage that inherently convey relationships, a decent place to look for well developed terminology is Martin Fowler's Patterns in Enterprise Application Architecture, which takes an ontological approach to application integration and might provide a framework we could build fromThere is also the Semantic Web Cluster's ongoing work, which could be applicable in this "semantic metadata" and discoverability/usability for non-experts discussion (Tom)
Data Rescue - use ESIP resources and members to help understand datasets.ServiceStart a Data Rescue WG? See Row 11# of participants in this WG, and # of actions. # oompleted by targetMeetings+This would be a really great thing ESIP could help facilitate. Also, as has been shown in some instances, this can be done for not a lot of $.
Increase digital object identifiers use with data/data citationServiceIdentify and include specific actions in the Data Stewardship Committee task plan to carry out annually:
- Assess RDA dynamic citation proposal to see if it would work with US data
- If so, update ESIP citation guidelines accordingly; define strategy for implementing within ESIP
- If not, provide feedback back to RDA, work with RDA on alternatives
# of actions, # completed by targetData Stewardship Committee chairHow to quanitify this?+Perhaps add communication and outreach (both within ESIP and external) to the actions listed here. IT&I could also participate in this activity.
Increase awareness of provenance and context information requirements within the communityServiceWrite papers targeted to specific communities:
- library community (D-Lib article)
- Earth and Space science community (EOS article)
- Nature/Science editorial/article
Data Stewardship Committee chairnumber of papers published+
Help people who attend the ESIP meetings find resources to support their tasks. Better prepare people coming to the meeting for benefits.ServiceCreate a collaboration forum / landing page for members to boardcast their needs, provide online resources and skill sets match maker tool?Operational Page, # of user needs, resources available, tool available to connect needs and resourcesErinSurveys post-meeting
Demo/showcase cross-agency connections and interoperabilityCommunicationCreate a landing page for showcase and impact stories on cross agency collaboration and standards?Operational Page, # of storiesErinESIP WebsiteFits into IT&I strategic plan
Facilitate stakeholder user communities discover and access data useful for their decision-making and other applicationsServiceCreate a common, ESIP-wide searchable inventory of data (satellite and other) and their characteristics (e.g., resolution)--but not duplicate existing services (e.g., GCMD)# of entries in inventory, # of users of inventory, ...agclim cluster; energy&climate clusteragclim: There are currently 2 clusters under "Leads," because I know those 2 are working on inventories, but there could be others. Other groups that might contribute to "searchable inventory" include Discovery and Semantic.
Open Search Best Practices and promotionDiscoveryFinesse best practices from real experience, help existing Open Search implementations to comply# of compliant implementationsDiscovery chairESIP wiki, EOSDIS wikiECHO, GCMD and CWIC are compliant. Working on Mirador, Fedeo, PO.DAAC and Ocean NECI
Adapt an existing Ontology to meet the needs of the earth science communityDiscoveryAdapt the existing W3C PROV-O Ontology ( to meet the needs of the Earth Science Provenance Tracing Community. In doing so, a new Ontology Data Model, which we call PROV-ES, is created.noneHook Hua and Curt Tilmes (Data Stewardship Committee)noneAlso very relevant to the Semantic Web cluster. Meets Goal 1 by enhancing the value of Earth Science Information through presenting a machine-readable, database queriable system for communicating the provenance of Earth Science information, which is needed to facilitate traceability, reproducibility, and trust.
Develop a peer-reviewed journal article recommending various practices vis-a-vis identifiersDiscoverySubmitted an article to the Journal of Map and Geography Libraries for publication consideration. As of March 12, 2015, this article is in review. Of the existing identifier schemes for information, the paper presents the ESIP Data Stewardship Committee's recommendations for those to serve as unique locators for Earth System Data and Information. Reviewers' decision on publication meritsNancy Hoebelheinrich, Greg Janee (Data Stewardship Committee)none since the paper has been submitted.Article is based on research previously funded through Products & Services Testbed Funding and which was presented at the January 2014 Winter ESIP Meeting.
Convene a workshop concerning best practices for citing data that changes temporallyDiscoveryConvened an appx. 1/2 day workshop at the Winter 2015 ESIP Meeting concerning Dynamic Data Citation, in which various suggestions from the RDA were tested out on selected Earth Science data sets. Workshop was lead by Andreas Rauber Institute of Software Technology and Interactive Systems, Vienna University of Technology / TU Wien, AT.(Qualitative) - Quantity of workshop attendees, development of workshop report and susbequent related activity in the Earth Science communityRuth Duerr (Data Stewardship Committee)ongoingRuth is developing a workshop report to be disseminated and discussed within the Data Stewardship Community. Subsequent follow-up and actions will be determined upon completion of that report. This pertains to Goal #1 through contributing to the development of the nascent field of data citation which aims to facilitate availability and discoverability of Earth Science data.
Compare and evaluate data policies on citation and managementDiscoveryOngoing work on the development of the AMS and AGU Data Policies/Recommendations. Publication of related editorial in all AMS journals.noneMatthew Mayernik, Nate James (Data Stewardship Committee)Ongoing. AMS Data Citation Recommendations released 3/2015. AGU's new data policy scheduled for discussion at CDF 3/2015 meeting.
Develop a standard concerning the elements behind the collecting and development of earth science data sets that merit long-term preservation. Publication of 2 papers concerning that standard.Discovery, CommunicationOngoing development of the Provenance and Context Content Standard (PCCS). Extension of PCCS to physical objects. Submission of articles concerning the need for such a standard, describing ongoing work, and soliciting feedback to Eos, Transactions AGU and to D-Lib Magazine.None for the development of the PCCS itself. Reviewers' decision on publication merits.Hampapuram Ramapriyan, Denise Hills, Ruth Duerr (Data Stewardship Committee)1. Hills, D. J., R. R. Downs, R. Duerr, J. C. Goldstein, M. A. Parsons, and H. K. Ramapriyan (2015), The importance of data set provenance for science, Eos, 96, doi:10.1029/2015EO040557. Published on 4 December 2015.
2. Downs, R.R., R. Duerr, Hills, D.J., and Ramapriyan, H.K., “Data Stewardship in the Earth Sciences,” DOI: 10.1045/july2015-downs
Ramapriyan working with the ISO TC 211, has contributed to ISO 19165 (Geospatial Information - Preservation of Data and Metadata) as a Project Team member; developing a New Work Item Proposal (NWIP) for developing an extension to ISO 19165 based on PCCS and related documents from NASA and CEOS.
Help the community find tools that help them achieve their goalsDrupalPresenting our group's work at the Summer/Winter Meetings. Teaming up with Education & Data Analytics clusters to identify needs and possible collaborations# of adopters; # of new participants in Drupal groupDrupal chairsOngoing
Identify gaps in membership and target opportunities for new partners engaged in Earth SciencesPartnershipIdentify types of members by speciality/discipline. Identify speciality and expertise gaps. Target new members based on gap analysis# of member speciality/discipline; # of new members that can lessen gapPartenrship committeeOngoing
Goal 2: Strengthen the ties between observations and user communities (e.g. technologies, research, education and applications)
IdeasAreasActionsPerformance Measure LeadsTargets (Date, Platform)
Introduce technology innovation to accomplish this goal (i.e real time data sharing + collaboration) (tech infusion)TechnologyESIP wiki is such technology. Further identify additional technologies that can help bridge the gaps? Continue to improve ESIP website? Leverage Testbed to socialize innovation and innovators.# of technologies identified; testbed showcase/hackathon happened; # of participants in showcase/hackathonExCom & Partnerships with Applied Science and ESDSWG; Products & Services TestbedESIP Cloud Computing Cluster Contributions:
Over the years the ESIP Cloud Computing Cluster (C3) introduced many new Cloud Computing related technologies and stories to the ESIP. C3 captures many presentations on our ESIP wiki. C3 should continue with this effort. C3 plans to create an inventory of all the technologies and projects the cluster looked at as knowledge for ESIP community.
Introduce technology innovation - open searchDiscoveryPromote Open Search / Best Practices at conferences to enable interoperablity with new technology# of conferences # of new implementorsDiscovery chairESIP Summer Meeting AGU Fall meeting
Broaden ESIP’s visibility in USER communities to help them be aware of resourcesMarketing / Communication / OutreachCreate an ESIP marketing campaign including a communication plan, also See Row 18, also is important for ESIP marketing strategy. <Monthly telecons reaching out to industry and community, getting visibility via social networks via speaker plans> .<Success story with reaching to scientists>; survey to Testbed/FUNding Friday project folks and ask if/how the project was useful/applicable/helpful in their careers/areas of expertise.User needs (better name) clusterUser meetings
Engage the real-time data/sensors communities on data quality, provenance + metadata issues on the front end of data workflows(EC workshop, ESIP session)ESIP marketing arm to make connectionsAnecdotal stories about success
Develop an understanding of communities’ needs through outreach to user communities. (e.g., decision makers, teachers, students) , a communication planCommunity needs assessment
Include innovative organizations that show promise of advancing practical Earth science information technology and management. Proactive in targeting and identifying new member orgs with key data domains that are not covered currentlyEnvirosensingFES Staff/ESIP Community
Capture success story in connectionsFES StaffESIP Cloud Computing Cluster Contributions:
The ESIP Cloud Computing Cluster (C3) will continue to reach out to new organizations and Cloud Computing professionals. C3 will continue to invite them to share their experience with ESIP. C3 has got the knowhow and expertise in Cloud Computing technology.
Marketing arm? Comprehensive communication plan to reach scientistFES Staff
BASF-like (We don’t make your products. We make a lot of the products you buy better)ESIP Marketing Plan established
Identify and apply ES data to decision makers for use in (planning, adaptation, situational awareness, response, recovery, decision making)ServiceSee Row 11 action.Discovery cluster chairESIP Members
new proposals/ applications
Align with Discovery cluster's task that works with user communities to identify the info model and observations/outputs needed to enhance their decision making.
Introduce new datasets for decision maker evaluation through innovative technologiesServiceSee Row 11 action (particularly disaster testbed activity, when proven successful, create testbed for other decision makers?
Capture domain experts interpretation, analysis, insights and enrich + augment the data for the benefit of non-expert users. Re: “What am I looking at in this data? What does it mean? What are the implications?”TechnologyThis can tie into Semantic Web cluster activities on rich infomration model with ontologies; and then work with Disaster cluster on semantic search related topics # of actions, # completed by targetSemantic Web chair(s)This seems to vague at the moment. I would like to work with the Disaster Cluster and ESIP leadership to make this more specific
Facilitate technology that will step Earth science data products beyond information to useable knowledgeServiceThis dovetails well with Row 6-9 Data Analytics cluster activities
Capture success story in connections Communication / OutreachSee Row 18, also is important for ESIP marketing strategy
Support the implementation of the 2014 National Plan for Civil Earth ObservationsTechnology / Service / OutreachDefine how collabroation areas/clusters can support Earth
Observation Plan
Create an Observing System Cluster
# of plan outcomes suported by ESITIT&IESIP Members
Discovery cluster success story ECHO, IDN, CWIC collaborationDiscoveryWork completed# users of CWICSmart once publicizedDiscovery chairCWICsmart applicationOpen Search best practices have been employed to create a highly interoperable earth data discovery plaform on a truly global scale
Submit paper about ESIP Data Management Short Course. Update ESIP's online Data Management course to encompass latest developments in the academic literature and the evolving practices of Federal agencies. Pursue support through an EarthCube solicitation to increase the scope of such a course.Outreach, ServicePaper titled "Meeting the Needs of Data Management Training: The Federation of Earth Science Information Partners (ESIP) Data Management for Scientists Short Course" submitted to "Issues in Science and Technology Librarianship" and was published as a refereed article in Spring 2015, Issue Number 80 (DOI:10.5062/F42805MM).

Preliminary investigations into the "EarthCube solicitation proposal for A Community-Driven Data and Knowledge Environment for the Geosciences" solicitation have begun. Kickoff discussions on updates to the Data Management course, regardless of what happens with the proposal, will commence April 2015.
Paper: Chung-Yi Hou. Update of course: Nancy Hoebelheinrich, Ruth Duerr, and other Data Stewardship Committee members TBA (after 3/16/15). EarthCube efforts: Nancy Hoebelheinrich, Amanda Whitmire, Ruth Duerr, Jake Carlson.Preliminary investigations into the "EarthCube solicitation proposal for A Community-Driven Data and Knowledge Environment for the Geosciences" solicitation have begun. Kickoff discussions on updates to the Data Management course, regardless of what happens with the proposal, will commence April 2015.
Ongoing Data Publication effortsTBADefine data publication, other actions TBATBANancy Ritchey, Ruth Duerrtasks to be defined following April 1, 2015
Development and refinement of a matrix to be used for evaluating the maturity of a stewardship approach for a given datasetOutreachEvaluate the matrix for real-world examples, write brief reportquantification of success applying matrix to real-world examples from NOAA and ACADISRuth Duerr, Ge Peng (Data Stewardship Committee)Matrix completed, evaluation is ongoing
Goal 3: Promote techniques to articulate and measure the socioeconomic value and benefit of Earth science data, information and applications
IdeasAreasActionsPerformance Measure LeadsTargets (Date, Platform)
Share partner agency resources of educational value on social media (i.e. NASA, NOAA, NOAA Climate, CIMSS, SSEC, USGS, etc.)CommunicationIdentify and include specific actions in the Education Committee task plan to carry out annually. Or should we create a Social Media Cluster???# of actions, # completed by target, formulation of a Social Media group?Social Media Cluster Chair, Education Committee chair, Climate Change Education cluster chairWebsitethe media wiki api provides a number of endpoints that could be analyzed based on edits, contributions, visits, etc. to help flesh out these specific actions
Develop and share the story of how Earth science products make an impact from discovery, through development, to ultimate use. (“impact metrics”)Communication / OutreachSee Row 18?Disaster Cluster chairsWebsite/meetingsAlign with Discovery cluster's task that captures impact stories of how relevant data products and tools have helped decision making in the events of disasters.
Create impact metrics on the value of Earth Science data and informationCommunication / OutreachAnnual Report
Submit annual report to sponsorsCommunication Already part of operating procedure. Will continue.FES Staff
Engage economists from NOAA , other agencies(invite them to talk at ESIP meetings). Agencies can learn from each other thru ESIPCommunication / OutreachAlready an actionable idea# of Talks at MeetingsESIP LeadershipMeetings/cluster meetings
Follow-up from NOAA Big Data RFI to see what businesses thinking ROI/business models are for Earth science data/modelsCommunication / OutreachAlready an actionable ideaESIP Leadershipclarify here what you mean by "big data"- some businesses and economists see big as a measurement of complexity, others see it as the relationship between ETL time versus actionable time. while the first is an issue to be tackled by economists and businesses who can drive more penetrating questions, the later is an issue to be tackled by software engineers and data scientists, who can implement more efficient technologiesESIP Cloud Computing Cluster Contributions:
The ESIP Cloud Computing Cluster (C3) will followup with NOAA on the status and activities regarding this RFI. Perhaps future presentations when it is ready to be discussed in public.
Drupal platform as a communication toolDrupalProvide a list of science use-cases and applications that exist within the Drupal framework, hold workshops on how best to use Drupal, prioritizing the Drupal groups web presence#of adopters; increased interest in the Drupal SUmmer LabDrupal chairsongoing
Measure socioeconomic value of new partnerships.
ParthershipIdentify what value members bring to ESIP in regards to science knowledge and contributionParthership Committee
Goal 4: Position ESIP to play a major role in Earth science issues (e.g. addressing effects of climate change mitigation, adaptation, supporting sustainable science data infrastructure)
IdeasAreasActionsPerformance Measure LeadsTargets (Date, Platform)
Engage broader range of climate change stakeholders - those who need to understand climate changed data and information to make effective decisionsMarketing / OutreachSee Row 18, also is important for ESIP marketing strategyESIP leadershipMeetings
Leverage Federation resources to support ongoing Adaptation Activities (i.e. Hampton Roads, Miami, mid-atlantic)Annual Report
Show that ESIP has expertise to offerService / CommunicationSee Row 17Cloud Computing Cluster Contributions:
Continue to host technical seminars and demonstrate Cloud Computing projects that involves ESIP members at various agencies
Current ESIP members actively engaged in these activities can intro broader ESIP engagementMarketing / OutreachIdentify ESIP members actively engaged in specific Earth science activities# of ESIP members engaged in a science discipline, # we should engage (based on gap analysis)Partnership committee chair
Engage with other agency and international efforts, e.g. EarthCube, GEOSS, RDA, etc.Marketing / OutreachDiscovery Cluster: 1) Invited to speak at the RDA BigData workshop about the issues of data discovery writ broadly; 2) Working with EarthCube TAC on discovery/access issues# of talks given, # of RDA/ESIP/etc. activities started/completed All chairsESIP Cloud Computing Cluster Contributions:
The ESIP Cloud Computing Cluster (C3) members are already involved in EarthCube, GEOSS, RDA, and NIST. C3 will continue to encourage our members to represent ESIP along with their own organization when participating these external efforts.
Identify ES key issues that we care aboutIdentify and include specific actions in the all cluster and working group task plans to carry out annually# of actions, # completed by targetAll chairs/Community Annual plans and report
develop a mechanism to capture success stories
Fostering inter-agency co-operationDiscoveryOpen Search Best Practice promotion has required the coordination of efforts from agencies as diverse as NASA, NOAA, JAXA, CEOS, ESA etc# of contributors to best practicesDiscoveryRatified and implemented Open Search Best Practices by agencies involved
Engagement and participation with Council of Data Facilities, COPDESS
Outreach/ServiceOngoing work with the organizations described in Col. A above. Engage with COPDESS in their work listing relevant and trusted repositories for Earth Science data. The ESIP Data Stewardship Committee listserve has housed discussions on the COPDESS efforts.noneRuth Duerr, Kirsten Lehnert (ESIP Data Stewardship Committee)Info on this row is duplicated from Row #67 in order to be more focused to Data Stewardship