The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.
Use the search bar to discover materials or browse through the collections. The filters will help you identify your area of interest.
|Wikiwho source code||
The original code plus some variants that contain extensions, especially a new function extracting relations between editors. Note that extended versions might include additional computational steps that can lead to higher runtimes than the original.
You can get word/token-wise information from which revision what content originated (and thereby which editor originally authored the word) as well as all changes a token was ever subject to.
Online tools allow you to easily and quickly share personal documents, the results of teams, the work of individual trainees. The service is used to securely store and synchronize files. The service is based on the open source NextCloud software.
Conduct online training and consultation wherever you are. Talk, share screen, upload files without installing applications. The video conferencing tool is based on the edumeet software.
|Research Data Management Toolkit||
This toolkit includes a number of resources on research data management. However, due to its broad scope, the toolkit is not structured as an online course.It contains courses, videos, infographics, books and other materials
|Guidelines on FAIR Data Management in Horizon 2020||
Guidelines to help researchers make their research data findable, accessible, interoperable and reusable (FAIR), to ensure sound management. Good research data management is not a goal in itself, but rather the key conduit leading to knowledge discovery and innovation, and to subsequent data and knowledge integration and reuse.
easySHARE is a simplified HRS-adapted dataset for student training, and for researchers who have little experience in quantitative analyses of complex survey data. While the main release of SHARE is stored in more than 100 single data files, easySHARE stores information on all respondents and of all currently released data collection waves in one single dataset. Moreover, for the subset of variables covered in easySHARE, the complexity was considerably reduced. For example the information collected only from one person of a couple or in a household was transferred to all respective respondents; time constant information collected only in the first interview was transferred to all later interviews; the coding of missing values was enriched to provide an easier understanding of the routing and filtering of the interviews; etc. In addition, several ready to analyse variables have been added, such as health indexes, demographic information, or economic measures. When possible measures have been selected or recoded to facilitate comparative analyses with the US Health and Retirement Study (HRS).
The core functionality of wikiwho is to parse the complete set of all historical revisions (versions) of a wikipedia article in order to find out who wrote and/or removed which exact text at what point in time. this means that given a specific revision of an article (e.g., the current one) wikiwho can determine for each word and special character which user first introduced that word and if and how it was deleted/reintroduced afterwards. this functionality is not offered by wikipedia as such and wikiwho was shown to perform this task with very high accuracy (~95%) and very efficiently, being the only tool that has been scientifically proven to perform this task that well.
|CESSDA Resource Directory||
The Directory gathers resources which are already available across various institutional websites. Information on relevant documents, training activities, tools, and support services resulting from past and current CESSDA projects and SP activities have been collected, selected, and reviewed specifically for this purpose. The Resource Directory is therefore a curated inventory of these resources. In order to guide the users within the Directory, specific labels, descriptions, and metadata were applied to index and define the resources. The labels and metadata can be used for a more user-friendly search, allowing easy and rapid access to the resources of interest.
|Erasmus University Rotterdam||
Erasmus University Rotterdam is a highly ranked, international research university, based in the dynamic and diverse city of Rotterdam.
Education and Research
Founded in 1913, it is currently one the biggest universities of the Netherlands with a student population of 29,000 and a research community of circa 1,400. Scholars and students in seven faculties and two institutions work on global social challenges in the areas of:
As part of a large global network of academic partnerships, in strategic alliance with Leiden University and Delft University of Technology and in a unique collaboration with city and port, the dynamic city of Rotterdam serves as our laboratory.