Memorializing Women on the Move: A register of migrant women landmarks in Europe

This dataset was developed by COST Action 19112 Women on the Move (WEMov), which engages in unveiling women migrants' presence and participation in the construction of Europe. The dataset was built as a register of toponyms and monuments in the political and public landscape in Europe – such as street names, school names and parks, as well as statues and memorials – that celebrate women migrants. With the dataset we want to discover how women migrants are remembered and what kind of landmarks present these individuals who have had an episode of migration for a variety of reasons. Moreover, our aim is to make these landmarks and the stories of women migrants visible by presenting the results of the dataset in an interactive map on our website. At the moment, the dataset includes 1000 landmarks. The collection of data was based on voluntary work of scholars and students from over 40 different European countries. We have aimed for broad geographical coverage; however, some areas are better represented than others due the nature of data collection. The collection of data is an ongoing process and therefore the dataset in Nakala repository, to which this data note refers, presents the situation in July 2023. Updated versions of the dataset will be made available in Nakala and we will download new landmarks to our interactive map on a regular basis. The selected landmarks and migrant trajectories feature cross-community or cross-cultural migration. They show both typical and exceptional forms of mobility and present women of different age, profession, social status and migration status. This intersectionality of the project and the dataset highlights not only the richness of these landmarks and their value for scholarship but also the wide spectrum of migrant women and their contribution to society.

which this data note refers, presents the situation in July 2023.Updated versions of the dataset will be made available in Nakala and we will download new landmarks to our interactive map on a regular basis.
The selected landmarks and migrant trajectories feature crosscommunity or cross-cultural migration.They show both typical and exceptional forms of mobility and present women of different age, profession, social status and migration status.This intersectionality of the project and the dataset highlights not only the richness of these landmarks and their value for scholarship but also the wide spectrum of migrant women and their contribution to society.

Introduction
The dataset Register of Migrant Women Landmarks has been developed as part of the COST Action Network 19112 Women on The Move.The idea of the dataset is to list European landmarks established in the memory of women who migrated in their lives.We registered not only street names but the vast array of urban toponyms, from monuments to varied urban infrastructure such as nurseries and hospitals, bridges and parks, as well as natural odonyms.According to our knowledge, this is the first time anyone has tried to map memorializations related to migrant women in the public sphere.With the register we explore what kind of migrant women landmarks exist and where they are located, mapping the presence of their stories in the cultural and political life of Europeans, as well as assessing the relative quantity of these specific landmarks associating notable women and stories of migration.The dataset makes these memorials and the stories of these migrant women visible and accessible and serves as a first sample analyzed in the ORE article 'Materiality of Memorialisation: Mapping Women Migrant's Landmarks in Europe'.It is the first data made available from an ongoing project collecting these landmarks, which are regularly transferred an interactive map that is available on the networks' website (see Underlying data (Bakas et al., 2023))

Methods
The main aim of the landmark data table is to provide the variables of each occurrence in Europe of migrant women's landmarks.The 1000 rows of landmarks are sorted in columns of variables comprising landmark categories, geo-coordinates, address, country, short description, the identified woman's occupation, and her standardized names and biographical dates.
-All landmarks had to represent a woman or women with a significant episode of migration in their history.
In some cases, landmarks with family, married couple or a collective were included if the migrant women had played a significant role and were specifically identified by name or by representation.
-The individual migration trajectory should include cross-community or cross-cultural migration, if not cross-border migration.Short distance mobilities within the same cultural sphere, like moving house within a city or between same-nation cities were excluded.
-If there were several landmarks for one woman these would all be included.The landmarks could belong to the same category; for example, a number of streets dedicated to the same person, or represent different types of landmarks, such as street names, buildings and statues.
-All the landmarks recorded are located in Europe, and we did not place any historical boundaries to the selection of landmarks, or only record landmarks denoting European women.
For the selection of landmarks, the following methods were used: To harvest the data, we mined a corpus of academic bibliographies, surveys, indexes and lists on toponyms and gender, as well as the collection of public information notices such as municipal and town hall minutes, local newspapers articles covering toponym news, and national registers and inventories of cadastral databases (with country specific geoportals such as the Romanian ANCPI geoportal, the Walloon Inventaire Centralisé des Adresses et des Rues (ICAR) or the French IGN Géoportail).We then effected a selection by identifying significant migration episodes in the womenbased toponyms of the corpus.These results were then cross-referenced for the appearance of these women's names in geolocalisation web services (such as OpenStreet Map, Google Maps or MapQuest) which included a wider range of toponyms.Landmarks identified were entered by a first contributor to a Google form and were then checked for conformity of data by a separate contributor before it was included on the landmarks register spreadsheet.This demanded extensive interdisciplinary cooperation within the COST network and allowed for outcome-oriented student workshops.

Susan Beth Rottmann
Ozyegin University, Istanbul, Turkey This is an excellent dataset of over 1000 landmarks.It is a wonderful teaching resource as well as a collection of interesting material for scholars working on migrant women, urban geography and history.The categories of commemorative landmarks are comprehensive and the interactive map is user-friendly.The methods and materials used are sound and can easily be cross-checked by others.

Is the rationale for creating the dataset(s) clearly described? Yes
Are the protocols appropriate and is the work technically sound?Yes

Are sufficient details of methods and materials provided to allow replication by others? Yes
Are the datasets clearly presented in a useable and accessible format?Yes Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Migration, gender, citizenship, food studies, anthropology, belonging I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Umut Erel
The Open University, Milton Keynes, England, UK The article is clearly written, providing a clear rationale for the data set and explaining the methodology clearly.The data set itself is highly innovative and useable, contributing both to researchers' and students' of migration and gender's knowledge and research dissemination to non-academic audiences.The only suggestion for improvement is that the current link does not lead directly to the map, but this link Map of women migrants' landmarks -WEMov, Women on the move seems to lead to the data set.
An excellent resource and a clear article introducing it.
Is the rationale for creating the dataset(s) clearly described?Yes Are the protocols appropriate and is the work technically sound?Yes

Are sufficient details of methods and materials provided to allow replication by others? Yes
Are the datasets clearly presented in a useable and accessible format?Yes Competing Interests: No competing interests were disclosed.
Reviewer Expertise: gender, migration, racism, citizenship I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

r42668 Is the rationale for creating the dataset(s) clearly described? Yes Are the protocols appropriate and is the work technically sound? Yes Are sufficient details of methods and materials provided to allow replication by others? Yes Are the datasets clearly presented in a useable and accessible format? Yes Competing Interests:
No competing interests were disclosed. https://doi.org/10.21956/openreseurope.18426.

confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.
© 2024 Erel U.This is an open access peer review report distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.