Dataset: Share Your Thoughts

Name: Community feedback collected between June 2019 and February 2020 on how researchers search and access new data for research as well as feedback on potential enhancements to help improve BCO-DMO’s service to the research community.
Published: 2020-09-22
Keywords: data management, oceanography, BCO-DMO, repository, community building, stakeholder needs, oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.825238.1

Temporal Extent: 2019-06-24 - 2020-02-21

Project:

BCO-DMO: Accelerating Scientific Discovery through Adaptive Data Management (BCO-DMO)

Principal Investigator:

Christina Haskins (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Co-Principal Investigator:

Karen Soenen (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Scientist:

Mathew Biddle (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Danie Kinkade (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Mak A. Saito (Woods Hole Oceanographic Institution, WHOI)

Adam Shepherd (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Peter H. Wiebe (Woods Hole Oceanographic Institution, WHOI)

Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

BCO-DMO Data Manager:

Christina Haskins (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2020-09-22

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Community feedback collected between June 2019 and February 2020 on how researchers search and access new data for research as well as feedback on potential enhancements to help improve BCO-DMO’s service to the research community.

Abstract:

Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO, and presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input can help BCO-DMO improve its service to the research community.

Expand/Collapse All

Archival Copy

Version Date	Archive	Persistent Identifier	Date Assigned
2020-09-22	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.825238.1	2020-10-06

Description

We conducted a stakeholder needs study during three oceanographic meetings to determine potential enhancements the BCO-DMO repository could make to improve its service to the research community.

Methods & Sampling

We conducted a stakeholder needs study during three oceanographic meetings to determine potential enhancements the BCO-DMO repository could make to improve its service to the research community. For each question, participants were directed to use corresponding stickers to indicate their first, second and third choices in response to the following questions:

Accessing data: What file formats do you use?
Searching for data: What search facets (categories) are most important to you?
Data tools: What programming languages and tools do you use?
New requests: What new tools and features would be useful to you?

The poster was presented at:

The Ocean Carbon & Biogeochemistry (OCB) Summer Workshop in Woods Hole, MA June 24-27 2019.
The Ocean Obs’19 Meeting in Honolulu, HI September 16-20 2019. Updates were made to the poster based on feedback received during the OCB meeting. The “Searching for data” section’s geospatial response option was split into geospatial by region and geospatial by point location. Additionally, the response option “Searching by Award number” was removed.
The Ocean Sciences Meeting in San Diego, CA February 16-21 2020. Additional changes were made to the poster based on feedback received during the Ocean Obs’19 meeting. The option for xls/xlsx was added as a response choice to the “Accessing data” question.

Remarks on data acquisition:

Updates were made to the poster prior to the OceanObs’19 Meeting, based on feedback received during the OCB meeting. The “Searching for data” section’s “Geospatial” response option was split into “Geospatial by region” and “Geospatial by point location” options. The response option “Searching by Award number” was removed. An additional change was made to the poster based on feedback received during the OceanObs’19 meeting by adding a response choice for .xls/.xlsx file formats to the “Accessing data” question.

It should be noted that on occasion a sticker that was not mapped as the first, second, or third choice option was used erroneously. We noted these errors in a comments field. It was also noticed that some participants only provided us with their first choice answers.

Data Processing Description

These data represent raw participant responses resulting from their engagement with the interactive posters. Data were processed with Excel.

Data Files

File
thoughts.csv (Comma Separated Values (.csv), 8.10 KB) MD5:90cc93632eb6cee9ebdfcf3baabc9619 Primary data file for dataset ID 825238

Supplemental Files

File
Community data format preferences filename: accessing-plot_2022-06-14.pdf (Portable Document Format (.pdf), 62.91 KB) MD5:7d21438d56229f12f4b26719cab4cb42 Graph showing study results related to preferred data formats (e.g., CSV vs MAT vs NetCDF, etc.). Responses are further broken down by first choice, second choice, third choice, etc per data format.
Community data tool preferences filename: data-tools-plot_2022-06-14.pdf (Portable Document Format (.pdf), 65.95 KB) MD5:9e38288be7bee3fab98f47c459005965 Graph showing study results related to preferred tools used for working with data. Responses are further broken down by first choice, second choice, third choice, etc per data tool or language.
Community preferences for data facets filename: searching-plot_2022-06-14.pdf (Portable Document Format (.pdf), 74.66 KB) MD5:bfb4f4bb57658c56a781905d79233cc8 Graphed survey results showing community preferences for searchable facets of datasets.
Community requests for new features filename: requests-plot_2022-06-20.pdf (Portable Document Format (.pdf), 3.84 MB) MD5:639f44671c02d1c79367a5bc042c090d Graph showing survey results indicating which new features are of interest to community members. Responses are further broken down by first choice, second choice, third choice, etc.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1924618

Deployments

None available yet

Instruments

None available yet

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
Meeting	Name of the meeting poster was presented at	dimensionless	site
Location	City and state (USA) where the conference took place	unitless	region
Topic	General topic the question relates to	unitless	no_bcodmo_term
Category	Possible response choice	unitless	no_bcodmo_term
First_Choice	Voters first choice under a specific category	unitless	no_bcodmo_term
Second_Choice	Voters second choice under a specific category	unitless	no_bcodmo_term
Third_Choice	Voters third choice under a specific category	unitless	no_bcodmo_term
Unclassified	Vote that used an unclassified sticker meaning we do not know what their choice was.	unitless	no_bcodmo_term
Total_Votes	Total number of votes	unitless	no_bcodmo_term
Comment	Any comments pertaining to a specific category topic.	unitless	no_bcodmo_term
Date	Date range over which the meeting was held.	YYYY/MM/DD - YYYY/MM/DD	date_range

Status message

Database

Contribute Data

Dataset: Share Your Thoughts