Researcher Template for Archaeological Datasets

DMP Researcher Template for Archaeological Datasets v.1.0

Download here the DMP Researcher Template for Archaeological Datasets template

For Archaeology and Cultural Heritage

1. Data Summary

1.1 State the purpose of the data collection/creation

1.2 Specify the types and formats of data collected/created

Guidance

1.3 Specify if existing data is being reused

Guidance

Yes Yes, remapped to another schema I don't know No Other

Here you can explain your choice

1.4 Specify the origin of the data

Guidance

1.5 State the expected size of the data to be archived (GB)

Guidance

1.6 Outline the data utility: to whom will it be useful?

Guidance

1.7 Specify the granularity of the data to be archived

Single items (i.e. one page of a manuscript, one excavation report...) Datasets (a set of homogeneously structured data records, consisting of fields carrying data values) Collections (an aggregation of resources, a collection may include e.g. a textual document, a set of images, one or more datasets and other collections) Corpora Raw data Other

Here you can explain your choice

1.8 What sort of data is it?

Guidance

Newly created data Reused data Newly created content based on reused data Other

Here you can explain your choice

1.9 How will data be collected?

Guidance

Archaeological excavation Archival research Archaeological prospections Field Survey Remote Sensing Analytical Investigations Inorganic Materials Study Dating (Bio-archaeology, Ancient DNA, Dendrochronology, C14) Other

Here you can explain your choice

1.10 Describe any constrains concerning ethics and privacy

Guidance on legal aspects
Guidance on ethical aspects

2. FAIR DATA

2.1 Making data Findable, including provisions for metadata

2.1.1 Do you provide metadata for data discoverability?

Guidance

Yes No I don’t know Other

Here you can explain your choice

2.1.2 Do you assign a unique identifier to your data/resources?

Guidance

Yes No I don't know Other

Here you can explain your choice

2.1.3 Do you follow naming conventions?

Guidance

Yes No I don’t know Other

Here you can explain your choice

If yes, please, list below the naming conventions that should be followed during the project

2.1.4 Outline the approach towards search keywords

Indicate what search keywords will be provided to make data findable

Guidance

2.1.5 Do you have any approach for clear versioning?

Guidance on reuse of existing data
Guidance on version control and data integrity

Yes No I don’t know Other

Here you can explain your choice

2.1.6 Specify standards used for metadata creation

Guidance

PARTHENOS Entities ARIADNE model (AO-Cat) CARARE CIDOC CRM DC - Dublin Core EDM - Europeana Data Model LIDO DCAT National standards Ad hoc metadata/proprietary schemas Other

If "National standards", "Ad hoc metadata/proprietary schemas", "Other", please specify

2.1.7 Outline the method used to ensure that there is appropriate metadata available to ensure the understanding and reuse of data over time

Guidance

Minimum set of metadata created Metadata is associated to each digital object Use of metadata standards Set up of quality assurance committee for metadata Not available Other

Here you can explain your choice

2.1.8 Specify if metadata are updated once the data are archived

This item only applies if data are not archived in a TDR

Guidance

Yes, automatically Yes, manually I don’t know No Other

Here you can explain your choice

2.1.9 Describe how resources are retrieved from your repository

Guidance

Landing web page Harvest with OAI-PMH protocol Other

Here you can explain your choice

Ad hoc services

Web service Federated Content Search API (FCS) Actionable APIs Other

Here you can explain your choice

2.1.10 Specify if metadata of non-public resources can be made publicly available

Guidance

Yes I don’t know No Other

Here you can explain your choice

2.1.11 Which methodologies are used to make data findable?

Guidance on data curation, preservation and sharing
Guidance on data sharing in repositories

Common metadata-based discovery Ontology-based discovery Content-based discovery (e.g. text, images, etc.) Other

Here you can explain your choice

2.1.12 What technologies are used to make data findable?

Guidance on data curation, preservation and sharing
Guidance on data sharing in repositories

Digital library Registry/Catalogue Linked Open Data Digital Asset Management Content Management System Weg-GIS Other

Here you can explain your choice

2.2 Making data openly accessible

2.2.1 Specify which data will be made openly available

Guidance on data ownership and copyright
Guidance on data reuse

If there are any restrictions on public accessibility, describe the nature of the restrictions (time embargoes, no access at all, restrictions to a certain group of users, sensitive data, etc.) and how access will be provided (by contact person, etc.). Are there well described conditions for access (i.e. a machine readable license)?

2.2.2 Specify how the data will be made available

Guidance

Project website University repository Domain-specific database Repository of Archival Institution Other

Here you can explain your choice

2.2.3 Specify what tools are needed to access the data

Guidance

2.2.4 Specify where the data and associated metadata, code, and documentation will be deposited

Guidance on data curation, preservation and sharing
Guidance on data sharing in repositories

Digital Library University repository Repository of Archival Institution Domain-specific database Research Data Repository Other

If other, please specify. You can a select a repository from this registry of research data repositories re3data.org

2.3 Making data interoperable

2.3.1 Assess the interoperability of your data

Guidance on standard file formats
Guidance on data quality and good practices
Guidance on Quality Control

RDF OWL DAML+OIL JSON LD XML KML GML GeoJSON CSV Other

Here you can explain your choice

Data vocabularies

Specify the data vocabularies you will follow to facilitate interoperability

Art and Architecture Thesaurus (AAT) PeriodO Pleiades Other

Here you can explain your choice

National vocabularies

Ad hoc/proprietary vocabularies

2.4 Increase data re-use (through clarifying licences)

2.4.1 Specify how the data will be licensed to permit the widest reuse possible

Guidance

Data will be public domain (e.g. Creative Commons CC0 dedication or CC-BY license) Standard reuse license will be used Other

Here you can explain your choice

2.4.2 Specify when the data will be made available for reuse

Guidance

Reuse is subordinated to legitimate interests of rights holders and protection of confidentiality and personal information Embargo date can only be handled when the technical framework allows it Date individually set with repository No specific date Other

Here you can explain your choice

If applicable, specify why and for what period a data embargo is needed

2.4.3 Specify whether the data produced and or used in the project is usable by third parties after the end of the project

Guidance

Yes No I don't know Other

Here you can explain your choice

2.4.4 Describe the (met)data quality assurance processes

Guidance

Set up of scientific and technical committee Use of tools for automatic checks Data conform to format specification Consistency verified with data models and standards Not available Other

Here you can explain your choice

2.4.5 Specify the length of time for which the data will remain reusable

Guidance

5 years 10 years Other

Here you can explain your choice

2.4.6 Do you request how data should be cited when reused?

Yes No I don't know Other

Here you can explain your choice

2.4.7 Are the rights related to the data documented?

Guidance

Yes No I don't know Other

If yes describe which information you gather on the rights holder to make sure that nobody is left out:

The rights owner is recorded in the metadata form Documentation is gathered from their holders Permissions are gathered from their holders Agreement with each content provider The data creator is responsible for recording any rights If rights are held by third parties, the creator is responsible for ensuring permissions are given, or content removed Support standards for data citation Provide proper attribution and credit information in an external metadata record where a dataset is implemented by different individual contributors Other

Here you can explain your choice

2.4.8 How do you ensure the availability of sufficient information (technical data and metadata) for end users to enable them to make reliable quality-related evaluations?

Guidance

Staff with specialized education or training Detailed metadata Special training course to use specialized infrastructure Quality Assurance working groups Domain experts collaborate with technical partners to ensure precise mappings from content providers schemas to project ontology Not available Other

Here you can explain your choice

3. Allocation of resources

3.1 Estimate the costs for making your data FAIR

Guidance

3.2 Clearly identify responsibilities for data management in your project

Guidance on data management responsibilities and tasks
Guidance on data management tasks covered in Protocol

3.3 Describe costs of long term preservation

Guidance on data preservation and sharing policies
Guidance on costs of data management

3.4 Indicate the potential value of long term preservation

Guidance

Data is potentially important for reuse by a larger community Data contributes to improve an open access publication Data was produced with a process that is difficult to repeat Data need to be archived because the funder requires it Other

Here you can explain your choice

4. Data Security

4.1 Is the data safely stored in certified repositories for long term preservation and curation?

Guidance

Yes No I don't know Other

Here you can explain your choice

If yes, you can select from the list or add a new entry in the field “Other"

ADS KNAW-DANS Zenodo Other

Here you can explain your choice

Repository provider's DMP formal document

If available, please, include a link to the provider's website

If not, please specify information about the repository you are using

4.2 Specify if your organization has tools to control the risks associated with receiving, managing, processing and ingesting digital collection content

Yes No Other

If yes, you can select from the list or add a new entry in the field “Other"

Checking/syntactic parsing of data structures Mechanisms to secure the reception and storage of exact copies of the original files (ingestion phase) Tools for generating metadata and for automatic validation of the XML Virus scanner for scanning file uploads Technology vulnerability scan SLA with the data storage provider Procedure for file fixity checking DRAMBORA Risk Assessment Declaration of Confidentiality for employees Bespoke Content Management System (CMS) with Object Management System (OMS) extension Not available Other

Here you can explain your choice

4.3 Specify if your system uses automated backup processes, and/or if an automated monitoring process for storage is available

Guidance

Yes No Other

Here you can explain your choice

If yes, you can select from the list or add a new entry in the field “Other"

Institutional back up process Esternal back up process Personal back up process Global backup mechanism Other

Here you can explain your choice

4.4 Describe how the system supports preservation

Using preferred data formats Assigning Persistent Identifiers (like DOI and URN) to a dataset Preserving all datastreams in the original format as distinct files Performing quality checks on submitted metadata Preserving data and metadata via migration Not available Other

Here you can explain your choice

4.5 What tools does your system use to provide access to users?

FEDORA DSpace Locally developed system Other

Here you can explain your choice

5. Ethical aspects

5.1 Outline how your project ensures compliance with disciplinary and ethical norms

Guidance

Anonymising data where necessary Privacy constraints and applicable ethical norms Data accompanied by informed consent statements Privacy policies National laws Not available Other

Here you can explain your choice

Other

6.1 Refer to other national/funder/sectorial/departmental procedures for data management that you are using

Institutional or departmental research data management protocol or guidance Horizon 2020 / Horizon Europe data management guidelines Science Europe data management guidance Digital Curation Center (DCC) data management guides or DMPonline tool Data management requirements by National Research Council PARTHENOS Guidelines to FAIRify data management ARIADNE Guide for Archaeological Data Management Planning ARIADNEplus DMP Researcher Template for Archaeological Datasets CESSDA Data Management Expert Guide Other

Here you can explain your choice

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ARIADNEplus is a Horizon 2020 project funded by the European Commission under Grant Agreement n. 823914. The views and opinions expressed in this publication are the sole responsibility of the author and do not necessarily reflect the views of the European Commission.