ArcheoLogica Data

The call for submissions for the fourth issue of ArcheoLogica Data is now open

Extended deadline October 31st, 2023

ArcheoLogica Data offers researchers and professionals the opportunity to publish Open Access and peer- reviewed articles free of charge, as required by the European community and desired by the ANVUR national directives.
ArcheoLogica Data is an open access journal that publishes open data articles and datasets. It provides a repository for your archaeological research data to make it accessible, reusable and preserved over time it’s free of charge.

Each issue of the journal is divided into two sections.
1. General section: welcomes contributions from all archaeological, thematic and chronological fields, as long as they are accompanied by data.
2. Thematic section, different for each issue. The theme of the 4th issue is “The Mountain”.
In recent years, archaeological research has become increasingly interested in studying both high-altitude and “middle” (neither hilly nor high-altitude) mountain spaces. Data has been collected to investigate the mountain settlement network and its transformations over time and to understand the intertwined dialectical relationships between humans and the environment, as well as their continuous and mutual co- evolutionary relationships.
The cataloguing of archaeological sites in the mountain area; the study of building techniques; the collection of environmental data; the analysis of the changes in resource management practices, landscape and organization of local communities; the investigations of the abandonments that have produced the economic-social marginality and the loss of anthropogenic niches linked to the shapes of the disappeared landscape; the study of the mountain as a theatre of military operations; the application of archaeological, archaeo-botanical, archaeozoological or digital methods are just some of the topics relating to mountain areas that the next issue of ArcheoLogica Data wants to explore in the whole diachrony.

The volume will give space to two types of contributions:

  1. Long paper: articles of minimum 30,000 max 60,000 characters (spaces, notes and bibliography included) with the possibility of inserting up to a maximum of 15 colour or b/w  images  (.jpeg format, 300 dpi resolution).
  2. Short paper: synthetic articles of up to 15000 characters (spaces, notes and bibliography included), with the possibility of inserting up to a maximum of 6 colour or b/w images (.jpeg format, 300 dpi resolution).

Each paper must be linked to one or more datasets, containing the raw information generated during the study (gray literature, photos, drawings, 3D models, shapefiles etc.). Each paper will be published in electronic format with CC-BY 4.0 license and related DOI, and  a print format, while the datasets will be stored in the MAPPA Open Data repository (MOD).  For more information, see the editorial norms and guide for authors.

LANGUAGES: The journal accepts datasets and papers in Italian or English.
REVIEW PROCESS: Publication of papers in the journal is contingent on the outcome of the Peer Review
procedure. The editorial committee reserves the right to publish, reject or request revisions for the
submitted papers.

SUBMITTING CONTRIBUTIONS: Contributions must be sent within the deadline to the address in compliance with the checklist below.


By October 31st:

– Send the paper in compatible word format and pictures, according to the editorial norms

– Fill in and attach the Annex A (dataset description form)

– Fill in and attach the Author statement guideline

– Send the full dataset in compliance with the editorial norms

– Send the consent form (Annex 1) and a copy of the identity document for each author

– If needed, send the third parties consent form (only if sensible data of third parties, different from the authors, are mentioned in the dataset) (Annex 2) and a copy of the identity documents.

Download the documentation

Annex A – Download
ANNEX 1 – Download
ANNEX 2 – Download
Editorial Norms – Download
Author statement guideline Download