Dataset of use cases collected between July and October 2016 during a series of metadata focus groups conducted with a number of the Research Data Shared Service pilots who volunteered for the process.

This dataset is available in two formats (including an open format) with the same content: 180 use cases in the following user story structure:

As a

Theme

I want

So that

Comments

The .xlsx file contains additional formatting grouping the use cases by theme, role, data and community.

The U. S. Geological Survey- Water Resources Mission Area is currently developing Integrated Water Availability Assessments (IWAAs) — multi-extent (regional and national), stakeholder driven, near real-time water availability census and prediction for human and ecological uses. To provide appropriate user accessibility to data delivery systems developed for IWAAs, a user-centered design process including stakeholder focus groups was used with the objective of determining potential water data user needs and preferences. The metadata presented here contains the questions and answers associated with the stakeholder focus group series held from 08/04/2020 to 09/16/2020. The question set and prompts used during these focus groups were divided into the categories of decisions and data. Additionally, each focus group date has a dataset organized by a participant code, question type, and questions and answers according to decision type (decisions or data). Entries indicated as “participant did not answer question” indicates no response to the question, whereas entries indicated as “NA” indicates a response was given earlier and empty cells were filled out with the letters NA. Lastly, data analysis was presented as requirement statements indicating stakeholder data format and needs per each focus group date and _location.

The NeuroVERSE record contains the following files: ALSFocus_Demographics_Survey_Public – ALS Focus Demographics Survey written questions. ALSFocus_CTTN_Survey_Public – ALS Focus Clinical Trials and Treatment Needs Survey written questions. ALSFocus_HealthStatus_Survey_Public – ALS Focus Health Status Survey written questions. ALSFocus_Demographics_Methodologies_Public – ALS Focus Demographics Survey data cleaning approaches and guidance for data analysts. ALSFocus_CTTN_Methodologies_Public – ALS Focus Clinical Trials and Treatment Needs Survey data cleaning approaches and guidance for data analysts. ALSFocus_Demograhics_Dictionary – ALS Focus Demographics Survey data dictionary. ALSFocus_CTTN_Dictionary – ALS Focus Clinical Trials and Treatment Needs (and Health Status Survey) data dictionary. ALSFocus_Demographics_Public_Stata – ALS Focus Demographics Survey data file in Stata (.dta) format. ALSFocus_CTTN_Public_Stata – ALS Focus Clinical Trials and Treatment Needs Survey data in Stata (.dta) format.

Transcript of focus groups and interviews about disaster waste and debris management. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact CESER@epa.gov. Format: The dataset consists of transcripts from focus groups and interviews. This dataset is associated with the following publication: Matsler, A., and K. Maxwell. Disaster waste and debris clean-up decisions of government actors in the United States: social process and socio-material systems. Environmental Hazards. Taylor & Francis Group, London, UK, 24(1): 1-22, (2025).

This dataset resulted from conducting focus groups with scientists from five disciplines (atmospheric and earth science, chemistry, computer science, ecology, and neuroscience) about data management to lead into a discussion of what features they think are necessary to include in data repository systems and services to help them implement the data sharing and preservation parts of their data management plans. Participants identified metadata quality control and training as problem areas in data management. Participants discussed several desired repository features, including: metadata control, data traceability, security, stable infrastructure, and data use restrictions. Our dataset includes five anonymized focus group transcripts in .pdf file format (one for each focus group with scientists from each discipline), our codebook as a spreadsheet in excel file format (.xlsx), and coded segments of our transcript text to visualize our data analysis in an excel spreadsheet in excel file format (.xlsx).

Artifacts used for data collection and analysis of the focus groups sessions during the evaluation of an instrument for research software related to software use and disclosure - dimension 1.

Data consist of transcripts from facilitated focus group discussions and contain PII. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: It can be accessed by authorized persons by reaching out to contact point. Format: These are focus group discussion transcripts. Data contain PII. This dataset is associated with the following publication: Hano, M., C. Baghdikian, S. Prince, E. Lazzarino, B. Hubbell, E. Sams, S. Stone, A. Davis, and W. Cascio. Illuminating Stakeholder Perspectives at the Intersection of Air Quality Health Risk Communication and Cardiac Rehabilitation. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(19): 3603, (2019).

Organizing focus groups was used as an effective qualitative research method to examine collective opinions of participants on a specific topic. Within NESP 5.5 project, focus groups consist of an exploratory study to explore the psychological antecedents of human aesthetic assessment of underwater sceneries at the GBR among three groups of different cultural backgrounds: Chinese, non-indigenous Australians and First People Australians. Focus group folder contains one dataset report, and three folders (Australian, Chinese, First People) with seven images.

Methods:

Within the NESP 5.5 project, 29 respondents were recruited in four focus groups: 1) Focus group with 7 non-Indigenous Australian citizen respondents: 2nd May 2019 2) Focus group with 8 Chinese visitor respondents: 7th May 2019 3) 1st focus group with 5 First Peoples respondents: 31st May 2019 4) 2nd focus group with 9 First Peoples respondents: 5th June 2019 During each focus group, respondents were asked to share their top-of-mind and personal experiences with the GBR. Next, they worked together to rank 20 underwater images of the GBR from what they thought to be the most beautiful, to the least beautiful scenery in two rounds (10 images/round). These 20 images represent five environmental conditions of the GBR (highly aesthetic, medium aesthetic, low aesthetic, polluted areas with the presence of some rubbish and coral restoration sites). These were selected based on aesthetic ratings in project NESP TWQ 3.2.3 and an agreement among the research team of eight experts. With the approval of all participants, each focus group was audio-recorded and later transcribed using REV Ltd.’s transcribing services. For more information about the audio recordings please contact: Dr (Jenny) Dung Le (email: dung.ltp@vinuni.edu.vn)

Further information can be found in the following publication: Le, D., Becken, S., & Whitford, M. (2020) A cross-cultural investigation of the great barrier Reef aesthetics using eye-tracking and face-reader technologies. Report to the National Environmental Science Program. Reef and Rainforest Research Centre Limited, Cairns. Published online at https://nesptropical.edu.au/wp-content/uploads/2020/09/NESP-TWQ-Project-5.5-Technical-Report-2.pdf

Format:

The focus group folder includes one dataset report form and three subfolders labelled Australians, Chinese and First People. Each subfolder contains images in Png format showing picture rankings during these focus groups.

Data Dictionary:

• FG: Focus Group
• Australian FG1/2: Picture 1/2 taken in the focus group discussion with non-indigenous Australian participants.
• Chinese FG1/2: Picture 1/2 taken in the focus group discussion with Chinese participants.
• First People FG1: Picture taken in the first focus group discussion with First People participants.
• First People FG1.R1/2: Picture 1/2 taken in the second focus group discussion with First People participants.

References:

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\custodian\2019-2022-NESP-TWQ-5\5.5_Measuring-aesthetics

Topic guide and template for focus group.

Focus Intersection Bottlenecks occur along arterials and other non-controlled access roadway facilities, typically at signalized intersections. Focus intersection bottlenecks are identified in the region as ones that have at least one roadway segment approach to an intersection with a peak hour TTI greater than 1.50 or a PTI greater than 3.00 and high peak hour vehicle and volume delays. Intersections with more than one segment approach with high peak hour delays were given added weight to be included as a focus intersection bottleneck.For each bottleneck, peak travel time vehicle and volume delays are summarized for all approach segments that touch the intersection and any other trailing adjacent segments with a TTI of 1.40 or more, or until another bottleneck is encountered. A total of 299 Focus Intersection Bottlenecks were identified in the DVRPC region: 181 in Pennsylvania and 118 in New Jersey. These bottlenecks are symbolized by rank in delay from high to low in quartiles separately for the Pennsylvania and New Jersey subregions, with brown locations being the most delayed and yellow the least. Rank is based on travel time vehicle and volume delays. CMP Focus Intersection Bottleneck Database Fields MAPID – Unique map bottleneck identifier by state MAPID2 – Unique map bottleneck identifier by DVRPC region; NJ bottlenecks start at identifier 300 NAME – Names of the intersecting streets MUNICIPAL – Municipal where intersection exists; for Philadelphia it is the planning district COUNTY – County where the intersection exists AMPKVEDEL – AM Peak Vehicle Delay PMPKVEDEL – PM Peak Vehicle Delay HIPKVEDEL – Highest AM or PM Peak Vehicle Delay TDPKVEDEL – AM or PM Time of Day of Highest Vehicle Delay PKVEDELRK – Peak Vehicle Delay Rank with lowest rank number the most delay PKVODELRK – Peak Volume Delay Rank with lowest rank number the most delay AMPKVODEL – AM Peak Volume Delay in HH:MM:SS PMPKVODEL – PM Peak Volume Delay in HH:MM:SS HIPKVODEL – Highest of AM or PM Peak Volume Delay in HH:MM:SS HIPKVOLDEV – Highest of AM or PM Peak Volume Delay in number format TDPKVODEL – AM or PM Time of Day of Highest Volume Delay RELATEID – Unique identifier link to non-spatial data RELATEIDN – Unique identifier link to non-spatial data (number format) STATE – AM or PM Time of Day of Highest Volume Delay LOTTRMAXMI – Miles of travel time unreliable for the measure (1.50 or more) PHEDVAPMI – Total Peak Hours of Excessive Delay weighted by road miles
MAXVCMI – Miles of Travel Demand Model forecasted congestion V/C greater than or equal to 0.85 in 2050
CRINDEXMI – Miles of high crash rate for the measure FATMIMI – Miles of high crash severity (fatalities and major injuries) for the measure IMRMAXPMI – CMP Objective Measure score to increase mobility and reliability and meet PM3 targets weighted by road miles, where the maximum score is 4.0 IMRMAXPR – CMP Objective Measure rank of IMRMAXPMI where lower values represent higher scores IMIAMAXPMI – CMP Objective Measure score to integrate modes and provide transit where it is most needed weighted by road miles, where the maximum score is 2.0 IMIAMAXPR – CMP Objective Measure rank of IMIAMAXPMI where lower values represent higher scores MRMAXPMI – CMP Objective Measure score to modernize and maintain the existing transportation network, where the maximum score is 1.5 MRMAXPR – CMP Objective Measure rank of MRMAXPMI where lower values represent higher scores SVRMAXPMI – CMP Objective Measure score to achieve Vision Zero, where the maximum score is 2.0 SVRMAXPR – CMP Objective Measure rank of SVRMAXPMI where lower values represent higher scores GCMAXPMI – CMP Objective Measure score to maintain the movement of goods by truck and meet PM3 targets, where the maximum score is 1.5 GCMAXPR – CMP Objective Measure rank of GCMAXPMI where lower values represent higher scores SPMAXPMI – CMP Objective Measure score to maintain and enhance transportation security and prepare for major events, where the maximum score is 1.0 SPMAXPR – CMP Objective Measure rank of SPMAXPMI where lower values represent higher scores LRPMAXPMI – CMP Objective Measure score to support LRP centers, infill, redevelopment and emerging growth areas, environmental sensitive areas, and Environmental Justice and Equity populations, where the maximum score is 3.0 LRPMAXPR – CMP Objective Measure rank of LRPMAXPMI where lower values represent higher scores CMPMAXPMI – Total of of the CMP Objective Measure scores, where the maximum score is 15.0 CMPMAXPR – Total CMP Objective Measure rank of CMPMAXPMI where lower values represent higher scores

Focus Limited Access Roadway Bottlenecks contain a road segment on a limited access roadway or approach to a limited access roadway with a high peak hour TTI greater than 1.50 or PTI segment greater than 3.00, and high peak hour vehicle and volume delays. Any trailing adjacent segment with a TTI of 1.40 or more is also included as part of the bottleneck. For each bottleneck, peak travel time vehicle and volume delays are summarized for the immediate bottleneck segment and remaining upstream segments with a TTI of 1.40 or more, or until another bottleneck is encountered. There are 145 Focus Limited Access Roadway Bottlenecks identified: 102 in the Pennsylvania subregion and 43 in the New Jersey subregion. These bottlenecks are symbolized by rank in delay from high to low in quartiles separately for the Pennsylvania and New Jersey subregions, with brown locations being the most delayed and yellow the least. Rank is based on travel time vehicle and volume delays. CMP Focus Limited Access Roadway Bottleneck Database Fields MAPID – Unique map bottleneck identifier by state MAPID2 – Unique map bottleneck identifier by DVRPC region; NJ bottlenecks start at identifier 200 NAME – Names of the intersecting expressways and ramps MUNICIPAL – Municipal where intersection exists; for Philadelphia it is the planning district COUNTY – County where the intersection exists AMPKVEDEL – AM Peak Vehicle Delay PMPKVEDEL – PM Peak Vehicle Delay HIPKVEDEL – Highest AM or PM Peak Vehicle Delay TDPKVEDEL – AM or PM Time of Day of Highest Vehicle Delay PKVEDELRK – Peak Vehicle Delay Rank with lowest rank number the most delay PKVODELRK – Peak Volume Delay Rank with lowest rank number the most delay AMPKVODEL – AM Peak Volume Delay in HH:MM:SS PMPKVODEL – PM Peak Volume Delay in HH:MM:SS HIPKVODEL – Highest of AM or PM Peak Volume Delay in HH:MM:SS HIPKVOLDEV – Highest of AM or PM Peak Volume Delay in number format TDPKVODEL – AM or PM Time of Day of Highest Volume Delay KEYIDX – Unique identifier link to non-spatial data KEYID – Unique identifier link to non-spatial data (number format) STATE – AM or PM Time of Day of Highest Volume Delay COMMENT – Description of the potential cause of the bottleneck as applicable LOTTRMAXMI – Miles of travel time unreliable for the measure (1.50 or more) TTTRMAXMI – Miles of truck travel time unreliability for the measure (2.00 or more)
PHEDVAPMI – Total Peak Hours of Excessive Delay weighted by road miles
MAXVCMI – Miles of Travel Demand Model forecasted congestion V/C greater than or equal to 0.85 in 2050
CRINDEXMI – Miles of high crash rate for the measure CRINDEXMI – Miles of high crash severity for the measure IMRMAXPMI – CMP Objective Measure score to increase mobility and reliability and meet PM3 targets weighted by road miles, where the maximum score is 4.0 IMRMAXPR – CMP Objective Measure rank of IMRMAXPMI where lower values represent higher scores IMIAMAXPMI – CMP Objective Measure score to integrate modes and provide transit where it is most needed weighted by road miles, where the maximum score is 2.0 IMIAMAXPR – CMP Objective Measure rank of IMIAMAXPMI where lower values represent higher scores MRMAXPMI – CMP Objective Measure score to modernize and maintain the existing transportation network, where the maximum score is 1.5 MRMAXPR – CMP Objective Measure rank of MRMAXPMI where lower values represent higher scores SVRMAXPMI – CMP Objective Measure score to achieve Vision Zero, where the maximum score is 2.0 SVRMAXPR – CMP Objective Measure rank of SVRMAXPMI where lower values represent higher scores GCMAXPMI – CMP Objective Measure score to maintain the movement of goods by truck and meet PM3 targets, where the maximum score is 1.5 GCMAXPR – CMP Objective Measure rank of GCMAXPMI where lower values represent higher scores SPMAXPMI – CMP Objective Measure score to maintain and enhance transportation security and prepare for major events, where the maximum score is 1.0 SPMAXPR – CMP Objective Measure rank of SPMAXPMI where lower values represent higher scores LRPMAXPMI – CMP Objective Measure score to support LRP centers, infill, redevelopment and emerging growth areas, environmental sensitive areas, and Environmental Justice and Equity populations, where the maximum score is 3.0 LRPMAXPR – CMP Objective Measure rank of LRPMAXPMI where lower values represent higher scores CMPMAXPMI – Total of of the CMP Objective Measure scores, where the maximum score is 15.0 CMPMAXPR – Total CMP Objective Measure rank of CMPMAXPMI where lower values represent higher scores

Focus on German Studies - ResearchHelpDesk - Focus on German Studies is a scholarly journal for German-language literature and German Studies, which is run and published exclusively by graduate students at the University of Cincinnati. Focus on German Studies publish only writing submitted by other graduate students. Focus on German Studies format includes articles on German Studies, German literature, interviews with German-speaking authors, and book reviews of contemporary literature. From 1994 through 2000, this journal was known as Focus on Literatur: a journal for German-language literature. Focus on German Studies is currently seeking graduate student book reviewers for its upcoming volume. As a peer-reviewed graduate student journal, Focus has been dedicated to providing an outlet and discussion forum for the work of graduate students. Focus publishes original research articles as well as reviews of newly-released German literature and secondary literature relating to German Studies. Reviewers will ideally have previous coursework and/or research experience in the field they intend to review and are asked to include this information with their request. It is, therefore, requested that a reviewer sends along a brief communication outlining the potential reviewer's previous experience and knowledge regarding the topic at hand or a current CV with his or her request. Books selected for review have been chosen in an attempt to include many facets of the current scholarship being published under the rubric of German Studies broadly. Focus on German Studies will be publishing its twenty-fifth and twenty-sixth volume in summer 2019.

Homework 2 template. Visit https://dataone.org/datasets/sha256%3Af053a52ad939de8dbe53f30b6ff2c29008f811af625b26a2b4592cbda27bb2fe for complete metadata about this dataset.

Focus on German Studies CiteScore 2024-2025 - ResearchHelpDesk - Focus on German Studies is a scholarly journal for German-language literature and German Studies, which is run and published exclusively by graduate students at the University of Cincinnati. Focus on German Studies publish only writing submitted by other graduate students. Focus on German Studies format includes articles on German Studies, German literature, interviews with German-speaking authors, and book reviews of contemporary literature. From 1994 through 2000, this journal was known as Focus on Literatur: a journal for German-language literature. Focus on German Studies is currently seeking graduate student book reviewers for its upcoming volume. As a peer-reviewed graduate student journal, Focus has been dedicated to providing an outlet and discussion forum for the work of graduate students. Focus publishes original research articles as well as reviews of newly-released German literature and secondary literature relating to German Studies. Reviewers will ideally have previous coursework and/or research experience in the field they intend to review and are asked to include this information with their request. It is, therefore, requested that a reviewer sends along a brief communication outlining the potential reviewer's previous experience and knowledge regarding the topic at hand or a current CV with his or her request. Books selected for review have been chosen in an attempt to include many facets of the current scholarship being published under the rubric of German Studies broadly. Focus on German Studies will be publishing its twenty-fifth and twenty-sixth volume in summer 2019.

Summary of five major format related themes identified from schematic analysis of 24 dominant themes, extracted from focus groups and interviews.

Homework 2 template. Visit https://dataone.org/datasets/sha256%3A0cbdef972272bd19f2d89d27ed9525720d2207833ae12ef62660e7c4c4355ddb for complete metadata about this dataset.

Topic guide and template for focus group, interview and triangular group

The July 2011 edition of the Focus on Consumer Price Indices, is the final publication of data in this format. From 28 August 2011 all data published as part of the Consumer Price Indices Statistical Bulletin, will be published electronically via one Excel file on the Office for National Statistics website at: http://ons.gov.uk/ons/taxonomy/index.html?nscl=Consumer+Prices+Index Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: MM23