Project approved by the NWO. Started on September 16, 2024.

Description:
The Combatting Bias project addresses the urgent need in the social sciences and humanities for guidelines to promote ethical data creation practices. It underscores the need for critical reflection in assembling and structuring datasets, and aims to identify and mitigate biases in data creation. In collaboration with thirteen projects from the social sciences and humanities, the initiative will develop FAIR+ data creation guidelines—adhering to FAIR principles and crucially grounded in data ethics. These guidelines aspire to benefit the humanities, social sciences, and cultural heritage landscape, as well as technical fields that rely on large-scale socially and historically informed data.

Involved parties so far:
• International Institute for Social History - Merve Tosun and Filipa Ribeiro da Silva, Exploring Slave Trade in Asia Project 
• Radboud University - Coen van Galen, Slave Registers Project
• Huygens Institute - Mrinalini Luthra and Matthias van Rossum, GLOBALISE Project
• The Slave Voyages Project - Daniel Domingues da Silva, sponsored by numerous universities in the United States 

Primary contact info:
Manjusha Kuruppath
GLOBALISE Project, Huygens Institute

Advisors
• Prof. Charles Jeurgens, Professor Archival Sciences (Universiteit van Amsterdam)
• Jeftha Pattikawa, Sr. Advisor Diversity, Equity, & Inclusion (Nationaal Archief)
• Dr. Caroline Drieënhuizen, Assistant Professor (Open Universiteit Nederland)
• Stevie Nolten, Researcher/Advisor (DE-BIAS, Nederlands Instituut voor Beeld en Geluid)
• Isabel Beirigo, Research Communications Specialist (DE-BIAS, Nederlands Instituut voor Beeld en Geluid)
• Monique Groot, Product Manager Research & Heritage (DE-BIAS, Nederlands Instituut voor Beeld en Geluid)
• Layan Nijem, Project Coordinator 2022-2024 (DeCoSEAS, Universiteit van Amsterdam)
• Mandy Sanger, Head of Education (District Six Museum, SA)
• Tina Smith, Head of Collections (District Six Museum, SA)
• Shuai Wang, Scientific Engineer (ODISSEI, FAIR Expertise Hub)
• Dr. Angelica Maineri, Data Manager (ODISSEI, Fair Expertise Hub)
• Prof. Natascha Wagner, Professor of International and Applied Economics (Global Data Lab, Radboud University)
• Prof. Julia Noordegraaf, Professor of Digital Heritages (HAICu, University of Amsterdam)

Consultation period ended.

Description:
This project targets the improved alignment between research integrity measures within Faculties of Social and Behavioural Sciences (FSBS) at Dutch universities, and the ideals of ‘FAIR’ data/software and open science.
Combining qualitative policy/infrastructure analysis, co-creation and community engagement exercises, and a national survey, we undertake to (1) map the current landscape and implementation challenges for research
data management (RDM) infrastructure, policy, and practices; (2) initiate new venues for knowledge exchange among researchers and RDM stakeholders; and (3) distill community-driven insights into formal advice on the update of a national FSBS guideline on research integrity in research data management.

Involved parties so far:
• Leiden University – Andrew S. Hoffman (Service Scientist - RDM), Kathleen Gregory (Researcher), Katie Hudson (Data Steward), Céline Richard (Data Manager)
• DSW Committee on Research Integrity in Research Data Management – Cristina Grasseni (Leiden University), Frans Oort (University of Amsterdam), Marion Palstring (Maastricht University), Jelte Wicherts (Tilburg University)
• University of Amsterdam – Marilena Poulopoulo (Data Steward), Emma Schreurs (Data Steward)
• DANS – Ricarda Braukmann (Data Station Manager Social Sciences), Jetze Touber (Data Station Manager Humanities)

Primary contact person:
Andrew S. Hoffman, Faculty of Social Sciences, Leiden University

Project approved by the NWO. To start in November

Description:
Oral history has become an integral part of the research and heritage world in the Netherlands. Despite the growing number of oral history datasets and the developed infrastructure for researchers and heritage actors, there is a lack of coherent guidelines for the collection and re-use of oral history data. This project coordinates the development of such guidelines and lays the foundations for a national network to promote the reusability of these qualitative datasets and ensure sustainable future reuse. We do this on the basis of co-creation with communities of researchers, community archives and museums.

Involved parties so far:
• Vrije Universiteit Amsterdam – Dr. Norah Karrouche (Huizinga Institute Oral History Research Network, CLARIAH)
• Stichting Bevordering Maatschappelijke Participatie – Saskia Moerbeek (Sprekende Geschiedenis)
• Nederlands Instituut voor Beeld en Geluid – Dr Roeland Ordelman (CLARIAH)
• CLARIAH – Dr Jetze Touber (DANS)

Primary contact person:
Dr. Norah Karrouche, Huizinga Institute Oral History Research Network/CLARIAH, Vrije Universiteit Amsterdam

Project approved by the NWO. To start in December

Description:
The project brings together different stakeholders to solve the technical and organisational complexities that prevent the Dutch Social Sciences and Humanities (SSH) to fully leverage the opportunities offered by the highest
research data management standards. The project investigates the technological and organisational practices at different institutes and provides a forum to engage in conversations about them. The resulting Action Plan document provides a snapshot of the current situation and its problems, together with actionable steps to ensure a more coordinated approach towards the implementation of the Findability, Accessibility, Interoperability and Reusability (FAIR) principles in the Dutch SSH data landscape.

Involved parties so far:
• ODISSEI – Angelica Maineri (EUR-ESSB, FAIR Expertise Hub for the Social Sciences)
• Erasmus University Rotterdam – Bora Lushaj (ISS/ESL)
• CLARIAH – Jetze Touber (DANS)
• Netwerk Digitaal Erfgoed (NDE), Royal Library (KB)

Primary contact person:
Angelica Maineri, ODISSEI

Project approved by the NWO.

Description:
Sharing data is key to responsible and reusable research. However, it is not always straightforward to share data. In the social sciences and humanities domain a lot of work has recently been done to overcome challenges in sharing personal data, but other challenges remain. In this series of workshops for early-career researchers, we address three of these and focus on: 1) Sharing non-personal sensitive data through a virtual environment; 2) Sharing field notes; 3) The ethics of sharing fieldwork data. The materials and training guidance will be shared for reuse and stand-alone guides will be produced on each topic to reach a wider audience.

Involved parties so far:
• Research Data Netherlands (RDNL) - Maithili Kalamkar-Stam (SURF), Marjan Grootveld and Pascal Flohr (DANS-KNAW)
• Promovendi Netwerk Nederland (PNN) – Anna Roodhof (WUR)
• Erasmus Research Institute of Management/Erasmus Data Service Center

Primary contact person:
Maithili Kalamkar-Stam (SURF, RDNL partner)

Consultation period ended.

Description:
We propose to develop a Digital Social Sciences and Humanities (Summer/Winter) School (Daidalos). The consortium partners will work together to create a format for a 2-3 week “crash course” in good practices for social scientists and humanities researchers. A group of ~30 researchers will be selected to be part of the first edition of this course with a specific research project. During the course, they will learn about good practices in software development, as well as an introduction to programming, parallel programming, machine learning and/or Natural Language Processing. After the formal training part of the course, one week of on-site consultancy will be available by experienced methodology and software engineering consultants while the researchers work on their projects. 
 
Consortium partners will be providing either consultancy, teaching time, course material or ways to access research tools and data to Daidalos. Software and data used in the course will be taken from / uploaded to the RSD, Ineo or the DANS data station. A dedicated website with all course materials will be set up, as well as a playbook on how to run the programme to ensure the programme’s sustainability.  

Daidalos addresses specific challenges in specified in the TDCC-SSH roadmap, such as (a) lack of awareness, experience and knowledge of good coding and software engineering practices (challenge 1, 3, 4, 6 in the roadmap); (b) a lack of recognition for good practices in research software (challenge 2, 6); (c) scattered and broad domain (challenge 5, 8, 9); (d) strong impact of recent technological developments (challenge 7, 10).

Involved parties so far:
• Netherlands eScience Center – Lieke de Boer, Valentina Azzara
• Utrecht University, CDH Research Software Lab – Jill Briggeman, Hugo Quene, Andre van Kooij
• KNAW Digital Humanities Cluster
• CLARIAH
• ODISSEI

Primary contact person:
Lieke de Boer (eScience Center)