Web Archiving and Scholarly Use of Web Archives

Similar documents
Scholarly Use of Web Archives

Collecting and Providing Access to Large Scale Archived Web Data. Helen Hockx-Yu Head of Web Archiving, British Library

Web Archiving Tools: An Overview

Archiving Social Media in the Context of Non-print Legal Deposit

Digital Collections as Big Data. Leslie Johnston, Library of Congress Digital Preservation 2012

Tools for Web Archiving: The Java/Open Source Tools to Crawl, Access & Search the Web. NLA Gordon Mohr March 28, 2012

Practical Options for Archiving Social Media

Big Data a threat or a chance?

THE OPEN UNIVERSITY OF TANZANIA

How To Manage Pandora

Building a master s degree on digital archiving and web archiving. Sara Aubry (IT department, BnF) Clément Oury (Legal Deposit department, BnF)

THE BRITISH LIBRARY. Unlocking The Value. The British Library s Collection Metadata Strategy Page 1 of 8

Functional Requirements for Digital Asset Management Project version /30/2006

BA Psychology ( )

Social Media Measurement Meeting Robert Wood Johnson Foundation April 25, 2013 SOCIAL MEDIA MONITORING TOOLS

Lambda Architecture. Near Real-Time Big Data Analytics Using Hadoop. January Website:

Big Data Analytics. Prof. Dr. Lars Schmidt-Thieme

OpenAIRE Research Data Management Briefing paper

State Records Guideline No 18. Managing Social Media Records

Collecting and archiving tweets: a DataPool case study

SHared Access Research Ecosystem (SHARE)

Enterprise Content Management with Microsoft SharePoint

Archiving the Web: the mass preservation challenge

EPSRC Research Data Management Compliance Report

JamiQ Social Media Monitoring Software

BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON

Enterprise 2.0 and SharePoint 2010

Big Data and Society: The Use of Big Data in the ATHENA project

Digital Marketing Training Institute

Plagiarism. Dr. M.G. Sreekumar UNESCO Coordinator, Greenstone Support for South Asia Head, LRC & CDDL, IIM Kozhikode

From Stored Knowledge to Smart Knowledge

Implementing SharePoint 2010 as a Compliant Information Management Platform

Getting Started with Oracle Data Miner 11g R2. Brendan Tierney

Checklist for a Data Management Plan draft

Project Plan DATA MANAGEMENT PLANNING FOR ESRC RESEARCH DATA-RICH INVESTMENTS

Social Media Monitoring: Engage121

COMP9321 Web Application Engineering

MLg. Big Data and Its Implication to Research Methodologies and Funding. Cornelia Caragea TARDIS November 7, Machine Learning Group

D5.5 Initial EDSA Data Management Plan

Draft Response for delivering DITA.xml.org DITAweb. Written by Mark Poston, Senior Technical Consultant, Mekon Ltd.

Web Mining using Artificial Ant Colonies : A Survey

SharePoint & Azure: Digital Asset Management

Web 2.0 Technologies and Community Building Online

Customer Experience Management

Campaign Goals, Objectives and Timeline SEO & Pay Per Click Process SEO Case Studies SEO & PPC Strategy On Page SEO Off Page SEO Pricing Plans Why Us

How to gather and evaluate information

How To Write A Blog Post On Globus

Research Data Management Guide

Big Data Challenges and Success Factors. Deloitte Analytics Your data, inside out

Doctor of Education - Higher Education

Advanced Analytics. The Way Forward for Businesses. Dr. Sujatha R Upadhyaya

Big Data Analytics- Innovations at the Edge

Scientific Knowledge and Reference Management with Zotero Concentrate on research and not re-searching

Social media Content Coordinator (online marketing manager)

6 TWITTER ANALYTICS TOOLS. SOCIAL e MEDIA AMPLIFIED

Bridging CAQDAS with text mining: Text analyst s toolbox for Big Data: Science in the Media Project

Start the tour. Oxford University Press All rights reserved.

Analysis of Web Archives. Vinay Goel Senior Data Engineer

THE BRITISH LIBRARY BOARD BLB 12/29

Realities Toolkit #10. Using Blog Analysis. 1. Introduction. 2. Why use blogs? Helene Snee, Sociology, University of Manchester

Connecting library content using data mining and text analytics on structured and unstructured data

DATA CITATION. what you need to know

SEO: What is it and Why is it Important?

Enhanced Library Database Interface at NTU Library

Elgg 1.8 Social Networking

Social Media Case Studies: Archiving Social Media: Mesolithic Online Resources (Mesolithic Miscellany and Mesolithic Research Forum).

Transcription:

Web Archiving and Scholarly Use of Web Archives Helen Hockx-Yu Head of Web Archiving British Library 15 April 2013

Overview 1. Introduction 2. Access and usage: UK Web Archive 3. Scholarly feedback on UK Web Archive 4. Social Network 5. A Way Forward 2

INTRODUCTION 3

Web Archiving initiatives worldwide http://en.wikipedia.org/wiki/file:map_of_web_archiving_initiatives_worldwide.png 4

How much of the web is archived? Survey of web archiving initiatives (Daniel Gomes et al 2010) 42 web archiving initiatives across 26 countries since 1996 11 (26%) carry out broad domain crawls 6.6PB of archived web resources How much of the Web is Archived (Scott Ainsworth et al, 2012) Regards search engine as one category of archives Some parts of the web better preserved than other; some lost Percentage archived # of copies in public archive 35% -90% At least one 17-49% 2-5 1%-8% 6-10 8%-63% >10 5

How often are web archives used? Archiving institutions focus on data collection, not usage 19 of 29 IIPC members archives (listed on website) have full or partial online access, often permission-based Large scale national web archives have restricted access dark archives eg Danish National Web Archive, over 280TB online access for researchers with PhD or higher level 20 users since 2005 Document-centric access methods No agreed way of calculating / benchmarking access statistics Little evidence of scholarly use of web archives, making it difficult to understand requirements 6

UK Web Archive ACCESS AND USAGE 7

The UK Web Archive Permission-based selective archiving since 2004 30% success rate 131,164 websites, 54,604 instances, ~14TB WARCs Domain crawl from 12 April 2013 to implement non-print legal deposit Expected to crawl between 4-5 million UK websites Access in reading rooms only http://www.webarchive.org.uk 8

Web archive as historical document 9

UK Web Archive: search interface 10

UK Web Archive: browse interface 11

Access methods (an overview) IIPC members archives has 29 entries URL search is the standard, universal access method - requires users to know the URL of the website they are looking for For many archives, full-text search is the next challenge on the roadmap URL search Keyword search Full-text search Thematic Collections Subject Browsing 26 15 11 11 9 14 Alphabetical browsing 12

Using N-gram for scholarly research Courtesy of Dr Peter Webster, Institute of Historical Research, University of London 13

UK Web Archive: visual browsing 14

RSS feed of latest instances 15

Replacing original search function on site 16

Access statistic 1 st April 2012 31 March 2013 17

UK Web Archive SCHOLARLY FEEDBACK 18

Scholarly feedback User Survey in 2012 to identify scholarly value of the UK Web Archive, as perceived by researchers To obtain feedback on the access mechanisms currently offered by archive To identify gaps in terms of content coverage To obtain insight into reason why researchers may or may not use the web archive 19

Methodology By IRN Research between May and June 2012 94 telephone interviews with previous and nonusers of the UK Web Archive 74% are nonusers A small group was asked to undertake a second phase, running search and detailing each stage documented as case studies 20

Interview sample by subject Subject Non-users Users Arts and Humanities 33 10 Social Sciences 27 11 Science Technology Medicine 4 3 Total 64 24 Unclassified 6-21

Scholarly value Non users Appreciate potential value but for many no relevant content More special collections would increase value Users All understand the value as snapshot of selective sites at specific times Value would increase with more scientific and technical content 22

Access Mechanisms Non users Search tool easy to use but complicated for minority Most search / browse by special collections Search results unstructured and random More explanation about functions and features needed Limited interest in visualisation tools Users Majority satisfied with presentation of results and ease of use of site More interest in visualisation tools Need for improved data mining tools 23

Additional functions and features Non users Improvements to search results pages Interactive features Facility to suggest special collections Too much text on home page Users 6-monthly updates Interactive features 24

Content coverage Non users More relevant special collections More images, blogs Users More images, illustrations, rich media Politics, contemporary British history Too much missed from specific websites 25

Reason for using or not using UKWA Non users Current content not relevant More information regarding selection policy Less than a quarter very likely to use again Users Majority very likely to use again as there is content of interest Another 39% quite likely 26

Why do researcher use / not use a web archive Relevance of content determines whether researchers use it Selective web archives please some but disappoint others Still a significant target group within the research community yet to be reached 27

SOCIAL NETWORK 28

Our work related to social media Two strands As part of web resources archived in the UK Web Archive Increasingly prevalent in society Potentially important to scholars to understand our time As a tool to inform selection for web archiving Twittervane 29

Facebook Only public pages Only as a part of a special collection, e.g. general election Technical problems pages dynamically generated via asynchronous JavaScript calls 30

Twitter Only as part of a special collection Corporate pages Technical problems indefinite scroll 31

YouTube videos Only capturing YouTube videos for key websites Changes publishing mechanism frequently Does not want to be archived Non-standard workflow requiring technical resources Use external media downloader Replace media player Server to stream video 32

Twittervane Project funded by the IIPC Current selection process is largely manual by a small number of experts Expensive & time consuming Cannot respond to sudden events quickly Subjective Does not scale up Explore automatic selection Exploit the wisdom of the crowd Social setting: Twitter Use popularity of websites as selection criteria Complements manual selection: especially useful for event-based collections 33

Twittervane: how it works Stream tweets directly from Twitter for analysis Expands shortened URLs in Tweets and assign these to collections defined by curators Has 3 major components TweetView: curator interface where collections and search terms are defined for collecting tweets, also reports on the popular tweets and top URLs TweetStreamAgent: streams tweets from Twitter and store data for analysis; uses search terms to filter Tweet stream; admin interface to configure and control Tweet stream TweetAnalyser: runs periodically, expands shortened URLs and resolve them to collections Currently still an evaluation version Source code, binaries & documentation at https://github.com/ukwa/twittervane 34

Components diagram curator Bitly expander service admin TwitterVane Component Diagram Twitter Streaming API Manage Web Collections/Run Reports TweetView Manage Analysis Data Stream TwitterVane Application Expand 10 most popular URLs per 100 Tweets Manage Tweet Stream Process every 100 Tweets (Spring RMI) TweetStreamAgent TweetAnalyser Store Tweet & URLs JPA + Hibernate Persistence Provider Database 35

Collections and URLs 36

Common issues Copyright: who owns the content? Technical existing archiving technologies not adequate no generic, scalable solutions Will be more difficult as technology advances Curatorial: how do we select social media content? Focus on events, themes or as much as possible? Ethics: privacy and ethical implications Access and usage: how will the archived content be used? What search/discovery/analytics tools should be offered? 37

A WAY FORWARD 38

Scholarship is changing Blurred boundaries between scholarly sources and popular sources, even more so in the context of the web Any source used for scholarly purposes can be defined as scholarly source Scholarship is evolving: computational engaged research gaining momentum eg digital humanities Redrawing disciplinary boundaries Less text-based, multi-media driven Web playing an important role will archives of the web too? 39

Scholarly use (of digital sources): key characteristics Availability or accessibility Text and paratext, defined by Gérard Genette as accompaniment that surround or prolong the text. Niels Brugger (2010) applied this concept to websites and argues it is different in form and function, and plays a crucial role in textual coherence of a website Or context, in the usual sense of the word, eg out and in-links Citation backbone of research - requires persistence identification of sources, ideally retrievable Sources relevant and specific to research question, without any arbitrarily imposed (national, geographical or format related) boundaries Quality again in the usual sense of the word Flexibility /ability to apply digital methods for analytics and discovery of new knowledge 40

Requirements for web archives Characteristics of Scholarly use Availability Paratext or context Persistence and citability Collect / organise research corpus Quality Applying Digital methods Boundary & formatindependent Requirements for web archives No access restriction, available online Access to collection policy and scope, crawl configuration, craw log and any contextual information - Longevity of web archives - Persistent identifiers - Standards of citing archived websites - Integration with bibliographical management tools (eg Zotero) - Archiving of research corpora on demand - Means to mix and match and reassemble corpora based on research questions - Archival version represents as much as possible the live website in completeness, intellectual content, behaviour and look and feel - Curation - Multiple access methods including data analytics and visualisations - Access to web archives as big data - Interlinked web archives - integration with other digital and printed holdings eg books, ejournals 41

Unique Selling Points (USPs) The live web as an fast evolving, interactive, multi-dimensional, open and participatory and interlinked collective system Web archives as static, flat, exclusive, individual systems with boundaries and limitations We cannot compete with the live web (not should we); Law change and archiving technology improvement take time Focus on USPs things that differentiate web archives from the live web Some web resources have vanished and web archives hold the only copies of these Periodic snapshots showing evolution and change of websites Web archives as comprehensive historical datasets - lends itself to opportunities for analytical access 42

Analytical access discovering value of the haystack Shift of focus from the level of single webpages or websites to the entire web archive collection or multiple archives Support survey, annotation, contextualisation and visualisation Allows discovery of patterns, trends and relationships The big data approach to analysing and using web archives Added dimension: time Helps addresses a number of challenging issues for web archiving: scalability, components missed by crawlers Issues Scepticism/suspicion about hidden algorithms Biases in the data Managing expectation: analytical tools finished products or first steps? Ethical /privacy issues 43

Showing the big picture http://seadragon.com/view/wky 44

Clustering content

Postcode-based access 46

Analysing web scale data Internet Archive UK Domain Dataset 1996-2010 Millions of websites 2.5 billion resources > 35TB

Linkage Analysis http://www.webarchive.org.uk/ukwa/visualisation/ukwa.ds.2/linkage

HTML Version Analysis

Image Format Analysis

Open datasets and API Wayback API exposing content of the UK Web Archive: http://www.webarchive.org.uk/wayback/archive/xmlquery.jsp?url=http://www.bl.uk/ Open datasets (based on JISC UK domain dataset) Geo Index Format profile Currently generating WAT (Web Archive Transformation) files Open tools 51

Mementos Service 52

Conclusion The web changes; scholarship practice and methods change too Web archives are parts of the live web The web is too big for any single organisation to preserve web archives need to join up Web archived can be used for references as well as analytics Restricted access undermines the value of web archives but there is plenty we can do to bring web archives to the scholars Restriction mostly on providing access to the text Highlight our USPs Fit in with researchers workflow how they do research Full potential of web archives are yet to be exploited 53