Relevancy ranking is an important component of making a data repository's search system responsive to data seekers’ needs. The Research Data Alliance (RDA) Data Discovery Paradigms Interest Group (https://www.rd-alliance.org/groups/data-discovery-paradigms-ig) is a collaborative activity within our data community which aims to improve data searchability. This survey is intended to gather information about the current practices and lessons learnt by data repositories in implementing relevancy ranking in search systems. We expect that analysis of the survey results will:

* Help data repositories choose appropriate technologies when implementing or improving their search functionality;
* Provide a means for sharing experiences in improving relevancy ranking;
* Capture the aspirations, successes and challenges encountered from research data repository managers;
* Help the Data Discovery Paradigms Interest group align future activities on data search improvement with the interests of data search service providers.

For the above the purpose, we designed a survey instrument to answer the following topics (the numbers in brackets indicate the number of questions asked per topic):

* What are characteristics of each repositories (5)?
* What are system configurations (e.g., ranking model, index methods, query methods) (7)?
* Evaluation methods and benchmark (10)
  ** What has been evaluated?
  ** What evaluation methods have been applied?
  ** How was the evaluation collection built?
  ** What is approximate performance range of search systems with certain configuration?
* What methods have been used to boost searchability to web search engines (e.g., Google, Bing) (2)
* What other technologies or system configurations have been employed (5)?
* Wish list for future activities for the RDA relevance task force (2)?

This collection consists of survey instrument, survey responses and survey report.

This is a lookup table for use with the Public Safety Survey from 2017 results data layer. Also for reference, view the Public Safety Form - Questions and Response Options.To ensure residents across the District were provided an opportunity to participate in the discussion around public safety, the qualities of a permanent chief of police, and public safety priorities for the District, the Office of the Deputy Mayor for Public Safety and Justice conducted a survey. Residents could take the survey online or complete it in person at recreation centers, senior centers, and libraries. The survey was publicized in Mayor Bowser’s weekly newsletter, on neighborhood list-servs, and in a link on all District government emails. The survey was open to the public between January 26th and February 13th 2017. We collected over 7000 responses, of which we identified 3990 as valid responses from District residents.

An index to over 600 ground geophysical surveys carried out in the UK for a variety of projects. A large number of these surveys were done in conjunction with the DTI Mineral Reconnaissance Programme in the 1970's and 80's, and many others were carried out at the request of BGS field mapping groups. Information held describes the survey objective, location of measurements, geophysical methods and equipment used, reports and publications, storage locations of data and results (for analogue and digital data), dates and personnel. There are two datasets; one shows the outline of the survey areas, and the other shows the actual survey lines within each area.

Responses from the public to Nashville’s Police Chief Search Survey conducted via hubNashville. This is a historical dataset.Source Link: https://hub.nashville.govMetadata Document: 2020 Police Chief Search Survey Results Metadata.pdfContact Data Owner: opendata@nashville.gov

Walworth County Plat of Survey Search for any Survey Filed or Recorded at the Register of Deeds.

Written protocol detailing how volunteers should complete standardized Visual Encounter Surveys (VES) at Wyoming toad reintroduction sites. Protocol updated June 2, 2016.

ASS: Exp: ASWR: Admin: Emp Placement Agencies & Exec Search Svcs data was reported at 15.790 USD bn in 2016. This records an increase from the previous number of 14.155 USD bn for 2015. ASS: Exp: ASWR: Admin: Emp Placement Agencies & Exec Search Svcs data is updated yearly, averaging 13.752 USD bn from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 16.911 USD bn in 2007 and a record low of 12.468 USD bn in 2004. ASS: Exp: ASWR: Admin: Emp Placement Agencies & Exec Search Svcs data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H021: Annual Services Survey: Employer Firms Expense.

This survey dataset is part of the project "Looking for data: information seeking behaviour of survey data users", a study of secondary data users’ information-seeking behaviour. The overall goal of this study was to create evidence of actual information practices of users of one particular retrieval system for social science data in order to inform the development of research data infrastructures that facilitate data sharing.

In the project, data were collected based on a mixed methods design. The research design included a qualitative study in the form of expert interviews and – building on the results found therein – a quantitative web survey of secondary survey data users. The survey dataset comprises 1,458 valid cases (1,727 cases including incomplete contributions). The transcripts of the expert interviews are also available through this data archive upon request.

The core result of this study is that community involvement plays a pivotal role in survey data seeking. The analyses show that survey data communities are an important determinant in survey data users' information seeking behaviour and that community involvement facilitates data seeking and has the capacity of reducing problems or barriers.

In the quantitative part of the study, the following hypotheses were tested: (1) The data seeking hypotheses: (1a) When looking for data, information seeking through personal contact is used more often than impersonal ways of information seeking. (1b) Ways of information seeking (personal or impersonal) differ with experience. (2) The experience hypotheses: (2a) Experience is positively correlated with having ambitious goals. (2b) Experience is positively correlated with having more advanced requirements for data.
(2c) Experience is positively correlated with having more specific problems with data. (3) The community involvement hypothesis: Experience is positively correlated with community involvement. (4) The problem solving hypothesis: Community involvement is positively correlated with problem solving strategies that require personal interactions.

The calculations made to test these hypotheses can be reproduced with the syntax file LfdAnalysis.do that is provided together with the survey dataset.

Quantitative attention checks are commonly used in online surveys including those investigating public opinions about genetic engineering (GE) in plants and animals. Measuring participant engagement via open-ended qualitative response analysis in GE surveys, however, is underexplored. We used Turnitin™ to assess the originality of open-ended responses in four online surveys about GE. Across surveys, 18-35% of participants were identified as having copied responses from online sources. Using Cronbach’s alpha, we found that participants who copied responses responded to quantitative multi-item rating scales less consistently than participants who did not copy responses. We conclude that participants who provided qualitative responses identified as copied from the internet also provided less consistent responses to quantitative questions, suggesting that they were less engaged with the survey. We encourage future research on the motivation of participants to search for information online, including what sources they find compelling, and which information they choose to present.

In addition to respondents’ highest educational qualification, some surveys also collect data on their main field of education. Current measurement practice involves either a closed question with highly aggregated response categories, which are difficult to use for respondents, or an open question, requiring expensive post-coding. Therefore, a measurement tool for fields of education was developed in the SERISS-project in work package 8, Task 8.3. In deliverable D8.9 we provide a database of fields of education and training in 34 languages, including the definition of a search tree interface to facilitate navigation of categories for respondents. All 120 standard categories and classification codes are taken from UNESCO's International Standard Classification of Education for Fields of Education and Training (ISCED-F). For most languages, detailed 3-digit information is available. The database, including a live search feature, is available at the surveycodings website at https://surveycodings.org/articles/codings/fields-of-education. The search tree can be used for respondents’ self-identification of fields of education and training in computer-assisted surveys. The live search feature can also be used for post-coding open answers in already collected data.

Most social surveys collect data on respondents’ educational attainment. Current measurement practice involves a closed question with country-specific response options, which are needed because of the differences between educational systems. However, these are quite difficult to compare across countries. This is a challenge for both migrant and international surveys. Therefore, a measurement tool for educational attainment that was initially developed for German migrant surveys in the CAMCES project (Schneider, Briceno-Rosas, Herzing, et al. 2018; Schneider, Briceno-Rosas, Ortmanns, et al. 2018) was extended in the SERISS-project in work package 8, Task 8.3. In deliverable D8.8, we provide a database of educational qualifications and levels for 100 countries, including the definition of a search tree interface to facilitate the navigation of categories for respondents in computer-assisted surveys. All country-specific categories are linked to 3-digit codes of UNESCO's International Standard Classification of Education 2011 for Educational Attainment (ISCED-A), as well as to the education coding scheme used in the European Social Survey (ESS), "edulvlb". A live search of the database via two different interfaces, a search box (for a limited set of countries) and a search tree (for all countries), is available at the surveycodings website at https://surveycodings.org/articles/codings/levels-of-education. The search box and search tree can be implemented in survey questionnaires and thereby be used for respondents’ self-classification in computer-assisted surveys. The live search feature can also be used for post-coding open answers in already collected data.

Cancer-specific questions by country and survey years.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record. Survey types are B: Hydrographic EEZ Surveys; D: Discovery Surveys; H: Hydrographic Surveys; F: Field Edit Surveys; W: Non-NOS Hydrographic Surveys.

This dataset compares how much U.S. adults trust ChatGPT relative to Google Search, including responses from a 2025 national survey measuring perceptions of AI accuracy and reliability.

We designed a survey instrument to cover the following five survey question topics: 1. System configuration (e.g., ranking model, index methods, query methods) (7 questions)2. Evaluation methods and benchmark (10 questions)a. What has been evaluated?a. What evaluation methods have been applied?b. How was the evaluation collection built?c. What is the performance under specific configurations? 3. Methods applied to boost searchability by web search engines (two questions)4. Other technologies or system configurations that have been employed (five questions)5. Wish list for future activities of the RDA relevance task force (two questions)We also asked five additional questions about the characteristics of each repository so we could assess whether there is any correlation between repository characteristics and the adoption of a certain technology or configuration. Also, we included two additional questions about survey administration.

Cancer-specific questions by county and cancer domains.

Survey on Homeless Persons: Homeless persons by job search and absolute value and percentage. National.

In support of new permitting workflows associated with anticipated WellSTAR needs, the CalGEM GIS unit extended the existing BLM PLSS Township & Range grid to cover offshore areas with the 3-mile limit of California jurisdiction. The PLSS grid as currently used by CalGEM is a composite of a BLM download (the majority of the data), additions by the DPR, and polygons created by CalGEM to fill in missing areas (the Ranchos, and Offshore areas within the 3-mile limit of California jurisdiction).CalGEM is the Geologic Energy Management Division of the California Department of Conservation, formerly the Division of Oil, Gas, and Geothermal Resources (as of January 1, 2020).Update Frequency: As Needed

We conducted a survey from November 2018 to March 2019 in Germany among 26 scholars with expertise in biodiversity research to determine preferences in dataset search. In particular, we wanted to explore suitable semantic extensions in the search result and possible additional recommendations on related topics that scholars support in retrieving relevant datasets.

The scholars were faced with four different search scenarios and pre-defined answer options. They gave their ratings on a 5-point-Likert scale. The scenarios addressed different important topics in biodiversity research, e.g., a search for organisms, materials, processes and data parameters.

This folder contains the original survey results as well as the analysis per topic (category).

According to an April 2024 survey, 34 percent of adults in the United States preferred to use traditional search engines for online search. However, the use of social media usage for finding information online is growing as a trend, especially among younger generations. Approximately 18 percent of respondents used both methods for online searches depending on specific needs, while 48 percent of interviewees primarily used either social media or search engines for this task.