This dataset relates to research on the connections between archives professionals and research data management. It consists of a single Excel spreadsheet with four sheets, containing an analysis of emails sent to two email discussions lists: Archives-NRA (Archivists, conservators and records managers) and Research-Dataman. The coded dataset and a list of codes used for each mailing list is provided.The two datasets were downloaded from the JiscMail Email Discussion list archives on 27 July 2018. The Archives-NRA dataset was compiled by conducting a free text search for "research data" on the mailing list's archives, and the metadata for every search result was downloaded and coded (144 metadata records in total). The resulting coded dataset demonstrates how frequently archivists and records professionals discuss research data on the Archives-NRA list, the topics which are discussed, and an increase in these discussions over time. The Research-Dataman dataset was compiled by conducting a free text search for "archivist" on the mailing list's archives, and the metadata for every search result was downloaded and coded (197 emails total). The resulting coded dataset demonstrates how frequently data management professionals seek the advice of archivists or advertise vacancies for archivists, and how often archivists email this mailing list. The names and email addresses of the mailing list participants have been redacted for privacy reasons but the original full-text emails can be accessed by members of the respective mailing lists using the URLs provided in the dataset.

This industry involves the publishing of lists of facts and information like databases that are protected in their form, but not in their content. These lists can be published in printed or electronic form.

Businesses registered with the Secretary of State Corporation Division during the month of May

Email Mailing Lists and Email Lists. 40K plus filters. Search using detailed Demographic criteria and Geographic information on ProMarketing Leads.

This industry involves the publishing of lists of facts and information like databases that are protected in their form, but not in their content. These lists can be published in printed or electronic form.

​The Consolidated Screening List API consolidates eleven export screening lists of the Departments of Commerce, State and the Treasury into a single data feed as an aid to industry in conducting electronic screens of potential parties to regulated transactions.

Lists of customers and stakeholders that are communicated to by GPS and business teams

Directory Mailing List and Other Publishers Market Outlook

The global directory mailing list and other publishers market size was valued at approximately USD 6.3 billion in 2023 and is projected to reach USD 9.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.1% from 2024 to 2032. This market's growth is primarily fueled by the increasing demand for targeted marketing and the growing sophistication of data analytics tools that allow for more precise audience segmentation and outreach strategies.

One of the key growth factors for the directory mailing list and other publishers market is the expanding digital landscape, which encourages businesses to invest in more innovative and effective marketing solutions. With the rising importance of data-driven marketing, companies are increasingly leveraging mailing lists and directories to reach their target audiences more efficiently. Moreover, advancements in technology, particularly in data analytics and big data, have enabled more personalized and effective marketing campaigns, driving further demand in this market segment.

Another critical driver for this market is the surge in digital transformation initiatives across various industries. As organizations continue to digitize their operations and customer interactions, the need for comprehensive and accurate mailing lists and directories has intensified. These tools provide essential data that helps companies understand their customer base better, optimize their marketing strategies, and ultimately drive sales growth. Additionally, the increasing reliance on e-commerce platforms has further necessitated robust directory and mailing list solutions to effectively reach and engage with online consumers.

The demand for directory mailing lists and other publishing services is also being bolstered by the need for compliance with various data protection regulations. As businesses strive to adhere to stringent data privacy laws such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), they require reliable and compliant sources of consumer and business data. This has led to a higher trust in and reliance on professional directory and mailing list providers who ensure data accuracy and legal compliance, thereby fostering market growth.

Regionally, North America holds a significant share of the global directory mailing list and other publishers market, driven by the high adoption rate of digital marketing solutions and advanced data analytics tools in the region. The presence of major technology firms and a mature digital ecosystem further supports market growth in North America. Meanwhile, the Asia Pacific region is expected to exhibit the highest growth rate over the forecast period, owing to the rapid digitalization of economies and increasing internet penetration. Countries like China and India, with their large consumer bases and burgeoning digital industries, are key contributors to this growth.

Product Type Analysis

The product type segment of the directory mailing list and other publishers market can be categorized into business directories, consumer directories, and other publishers. Business directories are a crucial component of this market, providing essential information about businesses across various sectors. These directories are used extensively for B2B marketing, enabling companies to identify potential clients, partners, and suppliers. The demand for business directories is driven by the need for accurate and up-to-date business information, which is critical for effective networking and lead generation activities.

Consumer directories, on the other hand, cater to the B2C segment, offering valuable data about individual consumers. These directories are often used for targeted marketing campaigns, allowing businesses to reach specific demographics with tailored messages. The increasing emphasis on personalized marketing and the growing sophistication of data analytics tools have significantly boosted the demand for consumer directories. As businesses strive to improve customer engagement and conversion rates, comprehensive consumer directories have become indispensable.

Other publishers encompass a broad range of directory and mailing list providers that cater to niche markets and specialized industries. These publishers offer highly specific and detailed data that can be used for targeted marketing and research purposes. The growing need for industry-specific information and the trend towards hyper-targeted marketing strategies have fueled the deman

Current version: v1.4 Trove users can create collections of resources using Trove's 'lists'. Metadata describing public lists is available via the Trove API. This dataset was created by harvesting this metadata. To reduce file size, the details of the resources collected by each list are not included, just the total number of resources. The data was extracted from the Trove API using this notebook from the Trove lists and tags section of the GLAM Workbench. The data is available as a CSV file entitled trove-lists.csv and contains the following fields:

created – date the list was created id – Trove's unique list identifier number_items – number of resources in list title – the title of this list updated – date the list was last updated

This repository is part of the GLAM Workbench. If you think this project is worthwhile, you might like to sponsor me on GitHub.

This industry involves the publishing of lists of facts and information like databases that are protected in their form, but not in their content. These lists can be published in printed or electronic form.

Python script to process data related to the total mentions of environment-related terms over time across all publicly available Internet Engineering Task Force (IETF) mailing lists.

This document describes a dataset that aggregates information about 135 data journals.
Data journals focus on the publication of data papers -- a specialized publication type describing datasets, their collection and reuse potential that is peer-reviewed, citable and indexed.
This dataset includes a comprehensive list of data journals that was compiled by aggregating existing sources, as well as an overview of these sources.

The list is continually updated on GitHub, where additional information on data journals (URLs of data journal homepages) is provided: https://github.com/MaxiKi/data-journals

Analysis of ‘Archivesspace Subject Records List’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/0281adee-dda3-40a5-b0a1-1e31279c3d70 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Displays selected subject record(s). The data lists subject term, subject term type, and subject source.

--- Original source retains full ownership of the source dataset ---

List of New UCC filings entered during the previous month.

Dataset of 700,000 restaurants in the United States complete with detailed contact and geolocation data. The database includes multiple data points such as restaurant name, address, phone number, website, email, opening hours, latitude, longitude, and cuisine.

United States Consumer List Database with full contact information, including; Addresses, Telephone Numbers, Email Address and Location as well as hundreds of available consumer behavior/buying activity/lifestyle/interest attributes. Attribute categories include; Income, Net Worth, Home Ownership, Vehicle Ownership, Loan and Mortgage, Credit Usage, Buying Activities, Donor History and Lifestyle Interests/Hobbies. Please contact us for a full list of available attributes, list counts, and pricing.

This data is a listing of customers reported from the monthly vendor sales reports.

United States Avg Sale to List: Single-Family: Crossville, TN data was reported at 96.438 % in Jul 2020. This records an increase from the previous number of 96.203 % for Jun 2020. United States Avg Sale to List: Single-Family: Crossville, TN data is updated monthly, averaging 94.343 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 98.001 % in Apr 2020 and a record low of 88.264 % in Feb 2014. United States Avg Sale to List: Single-Family: Crossville, TN data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB050: Average Sales to List: by Metropolitan Areas.

Frequency lists of words were extracted from the GOS 1.0 Corpus of Spoken Slovene (http://hdl.handle.net/11356/1040) using the LIST corpus extraction tool (http://hdl.handle.net/11356/1227). The lists contain all words occurring in the corpus along with their absolute and relative frequencies, percentages, and distribution across the text-types included in the corpus taxonomy.

The lists were extracted for each part-of-speech category. For each part-of-speech, two lists were extracted:

1) one containing lemmas and their text-type distribution,

2) one containing lower-case word forms as well as their normalized forms, lemmas, and morphosyntactic tags along with their text-type distribution.

In addition, four lists were extracted from all words (regardless of their part-of-speech category):

1) a list of all lemmas along with their part-of-speech category and text-type distribution;

2) a list of all lower-case word forms with their lemmas, part-of-speech categories, and text-type distribution;

3) a list of all lower-case word forms with their normalized word forms, lemmas, part-of-speech categories, and text-type distribution;

4) a list of all morphosyntactic tags and their text-type distribution (the tags are also split into several columns).

Name lists used for data augmentation for testing biases (in terms of error disparities) of Name Entity Recognition in Danish NLP pipelines.

The following lists are from Statistics Denmark:

• majority_first_names_2023_men.csv
• majority_first_names_2023_women.csv
• majority_last_names_2023.csv

The following lists are from Eva Villarsen Meldgaard. 2005. Muslimske fornavne i danmark. Publisher: Københavns Universitet

• minority_first_names_men.csv
• minority_first_names_men.csv

The list majority_unisex_names.csv is retrieved from The Agency of Family Law in Denmark, and the numbers are retrieved from the above lists from Statistics Denmark.

The list minority_last_names.csv is retrieved from FamilyEducation.

The list overlapping_names.csv contains first names, which both occur on the list of majority names and the list of minority names.