DMT_Clearinghouse Personas

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O
1	Link to DataONE's personas:	https://www.dataone.org/user-personas
2	Persona Name/title	Sun: Early-career herpetologist	Jean: Agricultural scientist at a field station	Laura: Mid-career oceanographer	Andreas: Biochemical modeller	William: Late-career plant taxonomist	Abby: Science data librarian	Mr. McMillin: K-12 educator	Gretta: College educator				Tina: Citizen Science Project Manager	Rick: Citizen scientist	Elizabeth: University administrator

3	Short Description from DataONE website	Sun would like to find more data that to correlate with the locations of her tortoise populations, so that she can put her research into perspective and identify collaborators.	Jean needs an effective way to create metadata for his phenotypic studies of tomatoes.	Laura believes that sharing data is important for creating holistic views of ecosystems.	Andreas needs real world data for calibrating and assessing his plankton dynamics model.	William would like to make his life’s work in plant taxonomy available to early-career taxonomists who might put it to good use.	Abby needs a comprehensive program of educational modules that will help researchers manage and discover data in a methodical and seamless manner.	Mr McMillin needs access to data his students can use to augment the limited data they can collect on their own.	Greta wants to stay involved with the zoology community by contributing her findings to DataONE.				Tina would like to learn how to document the data from the citizen science project she runs so that it will be interoperable with other data sources.	Rick likes knowing that his citizen science data can be integrated with other data sets in DataONE to further scientific research.	Elizabeth is a University administrator who believes data sharing is crucial and would like to hire faculty who have contributed impactful data to their fields.”
4	Relationship to which Clearinghouse Persona	Research scientist	Research scientist	Research scientist	Modeler	Research scientist	Data Librarian	Educator	Educator	Data Curator / Information Manager	Data Scientist / Data Wrangler	Student (undergrad / grad)	n.a. at this time?	n.a. at this time?	n.a. at this time?
5	Role wrt Data management (searcher, submitter, Clearinghouse moderator, Clearinghouse administrator)	Searcher	Searcher	Searcher	Searcher	Searcher	Searcher, submitter	Submitter	Submitter	Submitter, Searcher	Submitter, Searcher	Searcher
6	Goals related to Clearinghouse	Would like to learn tips for finding data,
7	Specific Objectives / Tasks
8	Types of users (novice searcher, experienced searcher, first time submitter, return submitter)	novice searcher
9	Approaches to search function	by data type (i.e., observational), and by domain specificity	by tasks (metadata creation, metadata management), and tools				Acts as liaison for people interested in finding data and in data management				Involved with data analysis / processing in collaboration with data producer
10	Approaches to submission
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16	Key Functions	Definition/Usage
17	USGC Science Framework	Tag content / Facet
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19	Information Seeking:
20	Definition of a Novice in relation to the Clearinghouse:	A novice user might need a different starting point for search where the Clearinghouse offers training for the Clearinghouse's features before or as the search is being performed. For example, the Clearinghouse might allow a "decision tree" type workflow or provide instructions in the forms of bullets/screenshots.
21	Definition of an Experienced/Advanced individual in relation to the Clearinghouse:	An experienced user might like to access the Clearinghouse inventory quickly using an "expressed" mode, such as using the controlled vocabularies/categories.
22	Definition of "Scale":	An individual who is in a collaborative environment might look for resources that can support the needs of their community/context (would want to be able to filter the content by facets and might also want to be able to search metadata content).
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24	Submission:
25	Definition for First Time Submitter in relation to the Clearinghouse:	An individual who see the overview of the submission process and would like to learn about the process before starting the submission process. Additionally, the invidiual might like to be able to pause the process and receive help (documentations only) if s/he encounters issues during the process.
26		(Contact information will be made available to users and will be directed to the Editor)
27	Definition for Return Submitter in relation to the Clearinghouse:	An individual who might still like a refresher of the process, but would like to get to a starting point faster. An individual who might also like to submit a group of resources (ex: duplicate a template for a new resource submission?).
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29	Moderation:
30	Definition of an Editor:	An individual who is authorized to make final decision regarding the acceptance of a submission and the related changes/modifications as well as communicating with the submitter regarding the process/decision; decide about whether / when to add terms to controlled values; fork questions to appropriate responder.
31	Definition of a Reviewer:	An individual who is authorized to provide suggestions/recommendations for changes/modifications.
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33	Authorization:
34	Spam filters	Similar to ESIP listserv process, i.e. using email as the main method for registration and filter the email addresses based on the validity/intention of the email address owners?
35	Levels of authorization (editor, reviewer)
36	Register for an account	Similar to ESIP listserv process, i.e. using email as the main method for registration and filter the email addresses based on the validity/intention of the email address owners?
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42	Examples of Facets that we might want:	Status (Current, Active, Archived)
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