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2. Inter-university Consortium for Political and Social Research

   en.wikipedia.org/wiki/Inter-university...

   To ensure that data resources are available to future generations of scholars, ICPSR curates and preserves data, migrating them to new storage media and file formats as changes in technology warrant. In addition, ICPSR provides user support to assist researchers in identifying relevant data for analysis and in conducting their research projects.

3. Weka (software) - Wikipedia

   en.wikipedia.org/wiki/Weka_(software)

   KNIME is a machine learning and data mining software implemented in Java. Massive Online Analysis (MOA) is an open-source project for large scale mining of data streams, also developed at the University of Waikato in New Zealand. Neural Designer is a data mining software based on deep learning techniques written in C++.

4. List of academic databases and search engines - Wikipedia

   en.wikipedia.org/wiki/List_of_academic_databases...

   Scientific Knowledge Graph aggregating, deduplicating, enriching metadata of publications, research data, research software, and other products, with citations links and links to funders and grants - core service in support of the European Open Science Cloud: Free OpenAIRE AMKE (not-for-profit) OpenAlex: Multidisciplinary: 205,000,000 [46]

5. Online research methods - Wikipedia

   en.wikipedia.org/wiki/Online_research_methods

   Online research methods (ORMs) are ways in which researchers can collect data via the internet. They are also referred to as Internet research , [ 1 ] Internet science [ 2 ] or iScience , or Web-based methods. [ 3 ]

6. Massive Online Analysis - Wikipedia

   en.wikipedia.org/wiki/Massive_Online_Analysis

   Massive Online Analysis (MOA) is a free open-source software project specific for data stream mining with concept drift. It is written in Java and developed at the University of Waikato, New Zealand. [2]

7. Survey data collection - Wikipedia

   en.wikipedia.org/wiki/Survey_data_collection

   The entire data collection period is significantly shortened, as all data can be collected and processed in little more than a month. [2] Interaction between the respondent and the questionnaire is more dynamic compared to e-mail or paper surveys. [16] Online surveys are also less intrusive, and they suffer less from social desirability effects ...