D3.3 Final report on policies and strategies

Hella Hollander; Holly Wright; Paola Ronzino; Flavia Massara; P.K. Doorn; Pascal Flohr

doi:10.5281/zenodo.7510597

D3.3 Final report on policies and strategies

Hella Hollander, Holly Wright, Paola Ronzino, Flavia Massara, P.K. Doorn, Pascal Flohr

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Abstract

This final ARIADNEplus project report on Policies and Good Practices for FAIR Archaeological Data Management describes how focused and dedicated support has established structured policies and strategies for the creation of archaeological data of high quality. A standardised and online tool offers a Data Management Plan for archaeologists which helps researchers to conduct their research following standard quality criteria. Researchers can save a lot of time when preparing a Data Management Plan, since a motivation is only required when deviating from the standard reply, which the Domain Protocol for Archaeological Data Management offers as pre-formulated statements. A related Guide for Archaeological Data Management Planning helps users in their work to find good practices in archaeological data management.

Original language	English
Publisher	ARIADNEplus
Number of pages	31
Volume	D3.3
DOIs	https://doi.org/10.5281/zenodo.7510597
Publication status	Published - 13 Dec 2022

Keywords

FAIR
archaeology
policies
Strategies
Data Management Plan

Access to Document

10.5281/zenodo.7510597Licence: CC BY

Ariadneplus_D3.3_final[2][1]Final published version, 1.71 MBLicence: CC BY

Cite this

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AU - Wright, Holly

AU - Ronzino, Paola

AU - Massara, Flavia

AU - Doorn, P.K.

AU - Flohr, Pascal

PY - 2022/12/13

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N2 - This final ARIADNEplus project report on Policies and Good Practices for FAIR Archaeological Data Management describes how focused and dedicated support has established structured policies and strategies for the creation of archaeological data of high quality. A standardised and online tool offers a Data Management Plan for archaeologists which helps researchers to conduct their research following standard quality criteria. Researchers can save a lot of time when preparing a Data Management Plan, since a motivation is only required when deviating from the standard reply, which the Domain Protocol for Archaeological Data Management offers as pre-formulated statements. A related Guide for Archaeological Data Management Planning helps users in their work to find good practices in archaeological data management.

AB - This final ARIADNEplus project report on Policies and Good Practices for FAIR Archaeological Data Management describes how focused and dedicated support has established structured policies and strategies for the creation of archaeological data of high quality. A standardised and online tool offers a Data Management Plan for archaeologists which helps researchers to conduct their research following standard quality criteria. Researchers can save a lot of time when preparing a Data Management Plan, since a motivation is only required when deviating from the standard reply, which the Domain Protocol for Archaeological Data Management offers as pre-formulated statements. A related Guide for Archaeological Data Management Planning helps users in their work to find good practices in archaeological data management.

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KW - policies

KW - Strategies

KW - Data Management Plan

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DO - 10.5281/zenodo.7510597

M3 - Report

VL - D3.3

BT - D3.3 Final report on policies and strategies

PB - ARIADNEplus

ER -

D3.3 Final report on policies and strategies

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

ARIADNE D3.2 Interim report on policies and strategies

ARIADNE D3.1 Initial report on policies and strategies

ARIADNEplus

ARIADNEplus: Policies and Good Practices for FAIR data management

Cite this

D3.3 Final report on policies and strategies

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Research output

ARIADNE D3.2 Interim report on policies and strategies

ARIADNE D3.1 Initial report on policies and strategies

Projects

ARIADNEplus

Activities

ARIADNEplus: Policies and Good Practices for FAIR data management

Cite this