The Request and Augment steps to curating research data are explained in this presentation

Carlson, Jake R.

Kozlowski, Wendy

English

Washington University St. Louis: Open Scholarship

Washington University in St. LouisWashington University Open ScholarshipIASSIST & DCN - Data Curation Workshop Workshop ScheduleDec 11th, 3:00 PM - 4:15 PMRequest and Augment PresentationWendy KozlowskiCornell University Library, wak57@cornell.eduJake R. CarlsonUniversity of Michigan - Ann Arbor, jakecar@umich.eduFollow this and additional works at: https://openscholarship.wustl.edu/data-curation-workshop-2017Part of the Library and Information Science CommonsThis Presentation is brought to you for free and open access by the Conferences and Symposia at Washington University Open Scholarship. It has beenaccepted for inclusion in IASSIST & DCN - Data Curation Workshop by an authorized administrator of Washington University Open Scholarship. Formore information, please contact digital@wumail.wustl.edu.Kozlowski, Wendy and Carlson, Jake R., "Request and Augment Presentation" (2017). IASSIST & DCN - Data Curation Workshop. 9.https://openscholarship.wustl.edu/data-curation-workshop-2017/schedule/Schedule/9R and ARequest and AugmentC ➾ U ➾ R ➾ A ➾ T ➾ E       Request missing information⇓● Generate a list of questions for the data author to fix any errors or issues.Determine needed recommendations or requestsHow much is too much?What are your priorities?How hard do you push if you don’t get those priorities from the submitter?Rule of Thumb #1:Rule of Thumb #2: Be specificRule of Thumb #3: Provide ResourcesRequest info Dear [name of the person Identified as the contact for the data set as stated in the DBD metadata], Thank you for depositing your data set, [title of the data set] to the library’s Deep Blue Data repository. After we receive a data set, we review it to ensure that the data sets we host are as complete, accessible and understandable as possible.  We have reviewed your data set and have the following recommendations for you: ● Recommendation #1● Recommendation #2● Recommendation #3● Recommendation #4  We look forward to hearing your response to our questions and requests for additional information.Please do let us know if you have any questions about or recommendations. We would be happy to talk with you over the phone or meet with you in person to discuss our review of your data should you wish to do so.Sincerely, [Name of Liaison]   ● Email template from University of Michigan:Thank youWhat you need from them, and whyHow they should get you the infoOffer to helpRequest info Subject: Your submission to the Data Repository for the U of M (DRUM)Dear <submitter>, Thank you for your submission (insert link) to the Data Repository for the U of M (DRUM). I am in the process of curating your submission, and I have a few questions for you: ● Most pressing question here● So that people can best understand and make use of your data, I'd like to add more documentation about each of your files and the variables within. I’ve started a “readme.txt” file using DRUM’s standard format based on the information contained within in the submission, and attached it to this email. Would you please add more information to this text file? Specifically the following:○ Request specific information here● More questions herePlease let me know if you have any questions or concerns. Thank you very much for your submission, and I look forward to hearing from you.Sincerely,NameDRUM Coordinator● Email template from University of Minnesota:Thank youWhat you need from them, and whyOffer to helpRequest info Dear <SUBMITTER(S)>,My name is Wendy Kozlowski, and I’m a data curator and administrator for eCommons. Thank you for your request to submit a dataset.We strive to have the datasets in eCommons meet the FAIR data principles (Findable, Accessible, Interoperable, Reusable). I've looked at your dataset and have the following suggestions and questions:<KEEP AND MODIFY FROM BELOW ONLY THE APPROPRIATE SECTIONS:>1.  File name(s)...2.  File format(s)...3.  File content...        A. For All Data...        B. For Tabular Data...4. Discovery (system) metadata...5. Science metadata...        You're welcome to contact me via email or phone, or we can meet in person if you prefer. I've also created a folder in Box for you to put your files: <URL TO BOX FOLDER>. Please don't hesitate to be in touch with questions or concerns.Kind regards,<CURATOR NAME> ● Basic email outline from Cornell:Thank youWhat you need from them, and whyHow they should get you the info and offer to helpExercise:  Request information10 minutes: Write a letter to your dataset submitter10 minutes: Trade with your neighbor and review C ➾ U ➾ R ➾ A ➾ T ➾ EAugment the submission with metadata for findability⇓● Enhance metadata to best facilitate discoverability.● Create and apply metadata for the data record, including descriptive keywords.● When appropriate, structure and present metadata in domain-specific schemas to facilitate interoperability with other systems.Augment the submission❏ Discoverability Sufficient❏ Recommend (circle one) full-text index / file compression / file reorder / file descriptions / zipOther  ______________❏ Keywords Sufficient❏ Suggestions _______________❏ Linkages Sufficient❏ Link to Report/Paper❏ Link to related data sets❏ Link to source data❏ Link to other ____________Exercise: Assess metadataAs a table: 10 minutes: Review metadata for your dataset 1 minutes each table: Report out - anything missing or that could be improved?Don’t forget about the curation documentationExample: Curation readme file,             shared file storage space for files-----------Parent Folder:-----------Files in Initial Archive:-----------Date first received:-----------Curator:-----------Submission Contact Info:Name:Position:Department:Office Location:URL:e-mail/NetID:phone:-----------Owner/Author Info (if different):-----------RDMSG Help Ticket #, if appropriate:-----------Repository:-----------Community/Collection URLs:-----------Curator Notes: Don’t forget about the curation documentationExample: Track using a service management software system (eg. OTRS, JIRA, RT, Remedy or others)Don’t forget about the curation documentationExample: Provenance records kept within your IR systemMinute Paper1. What was the most valuable thing you learned today? 2. What do you still have questions about? 3. Is there anything we could do to improve the workshop?

Request and Augment Presentation

https://openscholarship.wustl.edu/cgi/viewcontent.cgi?article=1003&amp;context=data-curation-workshop-2017

Request and Augment Presentation

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Washington University St. Louis: Open Scholarship