Researcher

ALLEA regularly produces a wide range of scientific and science-policy publications and recommendations, webinars and events responding to on-going issues and debates, in anticipation of upcoming challenges at the science-society-policy interface.

CORD (Cranfield Online Research Data) is an institutional data repository, where you should store any research data that must be preserved, if there is no appropriate funder or subject repository (e.g. NERC data centres). Fundamentally, remember that data must only be added to CORD with public access if you have the right to share it.

The International Image Interoperability Framework (IIIF) is a group of standard APIs around sharing and reuse of media. It is also a growing community of galleries, libraries, archives, museums, companies, and others who develop the standards and interoperable software implementations. Content includes helpful links around each of the standards, demonstrations of their use, and tutorials and presentations. The list is especially helpful for orienting new community members and developers.

DigCurV, was a project funded by the European Commission’s Leonardo da Vinci programme to establish a curriculum framework for vocational training in digital curation launched today.

Europe’s digital sector has seen strong growth in recent years. The pace of development and change in the information technology sector presents challenges to cultural institutions responsible for management and long-term preservation of digital collections. Ensuring that staff gain access to the necessary training is a challenge that institutions face. A Market and Trend Analysis Report completed by DigitalPreservationEurope shows that digital preservation is becoming one of the main strategic priorities for institutions – they are increasingly aware that digital resources are fragile and that they are at risk.

DigCurV addressed the availability of vocational training for digital curators in the library, archive, museum and cultural heritage sectors needed to develop new skills that are essential for the long-term management of digital collections.

Game made to enhance researcher knowledge. Enhances our own knowledge of what people know. Generates discussion on library services in general which we can follow up. Testing with library staff highlighted areas where we need to make more support available for them.

In the analysis of a cross-national survey such as the European Social Survey (ESS), many research questions naturally involve comparisons between countries. In latent variable modelling, these questions can be formulated as multigroup models where the country of a respondent is treated as an explanatory variable for the latent variables. This allows us to examine differences between countries in the distributions of the latent constructs. Multigroup models can also be used to assess cross-national measurement equivalence, that is whether the measurement of the latent variables by the observed items is comparable across the countries. Such multigroup models are one of the topics of this module.

Analysing cross sectional survey data using linear regression methods: A ‘hands on’ introduction using ESS data’ is by Associate Professor Odd Gåsdal of the Department of Sociology at the University of Bergen. He provides an introduction to some of the basic questions that are relevant when analysing cross sectional survey data using regression methods. Gåsdal has lectured for many years on quantitative research methods in the social sciences.

Multilevel analysis has become popular in many fields of social research. This module starts with a basic introduction to OLS regression, and then continues with the more advanced technique of multilevel analysis. The author of Learning Multilevel Analysis is Kristen Ringdal, who is professor of Sociology at NTNU (the Norwegian University of Science and Technology). Ringdal has been the national coordinator for the ESS in Norway since 2001.

ICPSR has a number of video presentations that address a variety of topics on their YouTube Channel. Including Drs. Dave Armstrong's and Christian Davenport's video on a real-world example of data visualization using Shiny. They discuss conceptualization and measurement of conflict in quantitative data and demonstrate how to produce graphics to convey their findings. 

The CURATE game is designed to be used as an exercise that prompts players to put themselves into digital project scenarios in order to address issues and challenges that arise when institutions engage with digital curation and preservation.

Developed as a means to highlight the importance of training in digital curation among practitioners and managers working in libraries, museums and cultural heritage institutes, the game has been used as a self-assessment tool, a team-building exercise and a training tool for early career students.