July 21, 2024

WP3 Website Resources Content Management

WP3 Website Resources Content Management

Work package 3 (WP3) is led by Professor Jorunn Helbostad at the Norges Teknisk-Naturvitenskapelige Universitet (NTNU), Norway.

WP3 is responsible for populating the resources library on this website. As such the website content will be constantly updated and resources added by experts in the field, who themselves keep up to date with the evidence.

The main work of WP3

This work is related to, but separate from, the synthesis of evidence and construction of best practice guidance and toolkits undertaken by WP4.

WP4 is crowd-sourcing resources comprising items of diverse natures, and from different fields, from scientific evidence to implementation manuals, exemplars of good practice not exclusively from academic study and in different media formats.

Resource items will then be catalogued and made available via the website using a classification system devised for the purpose, to facilitate simple search and retrieval. This task is delegated across a number of partners, since people with different interests automatically follow different literatures, have citation alerts etc set up as part of their “day jobs” and could use this specialist interest efficiently to populate the resource, rather than having to employ one individual to trawl literature. WP4 will train and organise the partners who will act as crown-sourcers. An important role for crowd members will be to act as moderators for the content, since we are aiming to present only reputable, evidence based interventions and tried and tested implementations and technologies.

Crowd members will work to a protocol which will allow reliable/repeatable assessment of evidence quality or robustness of recommendations and other types of items. Thus WP3 will act to co-ordinate the crowdsourcing of content, will define the architecture of the categorisation schemes, and moderate the content input onto the resource.


All deliverables are publicly available.
D3.1) Content classification scheme: Devise a content management system with discipline, intervention, location, population, technology, and study design specific areas. Devise consensus protocol for assessing robustness of resource items (e.g. following “evidence pyramid” approach) [month 4]
D3.2) Crowd sourcing quadrupled: Quadruple number of people trained for crowd sourcing to 60. [month 30]
D3.3) Content classification scheme revision [month 30]