A “Runbook” or “Run Book” by any other name…

We use a runbook template to document what processes occur automatically or on demand. Typically these events are either date-triggered or event-triggered. An example of a date-triggered process might be a scheduled email sent nightly at midnight. An example of an event-triggered process might be to send an email when any disk on a server is 90% full.a run book captures processes

Configuration Management

Use this template as a starting point for building your own. It should be a key element of your Configuration Management Database (CMDB) used to document and operate your enterprise.


The simple runbook template below features three tabs. The first is to list all your automated processes–those that occur without assistance. The second is operational process, which captures tasks your team may perform either on demand or based on some event. The last is a lookup tab for dropdown values in the other tabs. You can ignore this.

The tabs are pretty self-explanatory. Fill in each task that your group performs, how often, how long it normally takes, and any accompanying notes. Feel free to add more columns to capture other configuration items such as who to contact in case of failure, email distribution groups who support the process, organization the process supports, etc.



Please note that you are free to use this for any purposes, public or private.  I submit it as a (hopefully) helpful tool back to the community of professionals who have given me the advice and feedback and trialed it in real-world operations.

computer vision training images

Below are many downloadable free machine learning datasets. They cover click data, air traffic control data, surveys, temporal datasets of various types, crime data, employee pay data, map data, law data, and many other types.


I am a huge fan of SSPS, scikit-learn, opennlp, and other mainstream libraries but for quick analysis and visualization don’t forget about Pentaho data mining (
https://wiki.pentaho.com/display/DATAMINING/Pentaho+Data+Mining+Community+Documentation ) based on University of Waikato’s Weka (
https://www.cs.waikato.ac.nz/ml/index.html ). It can also be used with Pentaho Kettle to submit to a hadoop cluster and perform advanced multi-step analysis.

Public data resources: research-quality, free data mining data sets

All datasets with keywords

Search entries:

Announcing the Article Search API – Open Blog – NYTimes.com

Text mining` article` api` text` corpus` newspaper

Information Extraction: The RISE Repository of Information Sources

Text mining` information` text mining` extraction` reviews` jobs


Text mining` links` text mining` books` rdf` ocr` documents

API Documentation — BackType

Text mining` api` blog` comments` text mining` stream` trends` backtype` queryminer

Free book usage data from the University of Huddersfield » “Self-plagiarism is style”

Text mining` books` library` borrowing` recommender` isbn` recommendation` collaborative` filtering

ICWSM 2009 – International AAAI Conference on Weblogs and Social Media

Text mining` blog` crawl` corpus` network` web` link, data mining data sets

Change.gov: The Obama-Biden Transition Team | Join the Discussion: Healthcare

Text mining` textmining` opinion` comment` topic` government` queryminer

Opinion Extraction, Opinion Mining, Sentiment Analysis, Summarization of Customer Reviews

Text mining` sentiment` mining` classification` machine learning` reviews` recommender` text mining` links


Text mining` wikipedia` named entity` tagged` text ming

Building a (fast) Wikipedia offline reader

Text mining` django` wikipedia` compressed` text mining` howto

Reddit’s Secret API

Text mining` reddit` api` json`

phishingcorpus [JoseWiki]

Text mining` phising` corpus` text` email` text mining` nlp` mail` security

Wikipedia Datasets for the Hadoop Hack | Cloudera

Text mining` wikipedia` hadoop` textmining` links

Main Task QA Data

Text mining` question` answering` trec` nlp` machinelearning

The New York Times Annotated Corpus « YooName – named entity recognition

Text mining` named entity` nytimes` corpus` people` organizations` locations

ADL Gazetteer Development

Text mining` named entity` location` place names` geo` nlp` natural language processing

Beautiful Data – WikiContent

Text mining` book` data` wiki` via:jhammerb

Web FAQ collection | ILPS

Text mining` faq` question_answering` questions` web` crawl` corpus` xml` textmining

Wikipedia:Lists of common misspellings/For machines – Wikipedia, the free encyclopedia

Text mining` spelling` mispelling` wikipedia, data mining data sets

build.kiva: Blog – Introducing the Kiva API

Business and Finance` finance` api` social` kiva` microlending` lending

Visualizing the Growth of Target, 1962-2008 | FlowingData

Business and Finance` visualization` retail` finance` gis` map` location` store` via:magnetbox

The Economy According To Mint

Business and Finance` finance` commercial` consumer` mint` spending

Best Buy Remix – Welcome to the Best Buy Remix Developer Network

Business and Finance` retail` data` api` product` bestbuy

Behavioral Targeting, Analytics and Advertising Service for Publishers, Ad Networks

Business and Finance` analytics` audience` segmentation` toolbar` commercial` sem` search` advertising

Executive PayWatch Database

Business and Finance` ceo` compensation` pay` economics` business` labor

TradingSolutions – Data Sources

Business and Finance` trading` finance` s` api` list

Netflix API – Welcome to the Netflix Developer Network

Business and Finance` netflix` api` movie` mashup` netflixprize` ratings

Open beats Closed: Best Buy’s new APIs – O’Reilly Radar

Business and Finance` retail` bestbuy` api


Business and Finance` custom` research` retail` finance` market` service` analyst`

University of Arkansas – Daily Headlines

Business and Finance` retail` dillards` uark

developerWorks Interviews: Massive data mining and the resurgent mainframe

Business and Finance` price` retail` transaction` sams_club` dillards

opentick :: market data

Business and Finance` opentick` nasdaq` finance` stock` data mining data sets

U.S. Company Filings and Annual Reports

Business and Finance` finance` links` sec

FTP Information – EDGAR Database

Business and Finance` edgar` finance` sec` filing` ftp` instructions

Data Mining For Investing

Business and Finance` investing` finance` datamining` announcement` sec` filing` links

UN General Assembly Voting Data

Government` un` voting` statistics` government

Research Datasets :: CID Data :: Center for International Development at Harvard University (CID)

Government` economics` international` development


Government` government` banking` csv` tarp` bailout

Data Catalog

Government` dc` government` feeds` transparency` opendata

Announcing the New York Times Campaign Finance API – Open – Code – New York Times Blog

Government` nyt` api` campaign` donations` fec`

Voter registration data; or, HERE IS YOUR HOPE, YOU FOOLS! « The Edge of the American West

Government` voter` registration` politics`2008

import/parse/fec.py at master from aaronsw’s watchdog — GitHub

Government` fec` python` parser` government` campaign

The Watchdog Project: volunteer

Government` government` transparency` parsing` election` python

Dataset of the day: Where are the Obamacans? | Off the Map – Official Blog of FortiusOne

Government` obama` goverment` mashup` gis` geo` map` campaign` donations

Normalized Campaign Contribution Data

Government` cmu` politics` campaign` donations` fec` via:jhammerb` government

Crime data bonanza!!!

Government` timeseries` crime` statistics` publicdata

Ohio voter registration data

Government` voter` voting` politics` government` name` address` registration

Voter List Data Files – Election Department, Clark County, Nevada

Government` voting` voter` registration` name` address` data` election` politics


Government` UN` publicdata` government` statistics

RealClearPolitics – Election 2008 – Democratic Presidential Nomination

Government` polls` politics

Crime in the United States 2006

Government` crime` fbi

Daily Kos: Obama helps us track $1,000,000,000,000 of federal spending

Government` corruption` government` politics` finance`

Welcome to USAspending.gov

Government` government` money` politics`

Campaign Finance Reports and Data

Government` campaign` politics` elections

ERS/USDA Data – International Macroeconomic Data Set

Government` usda` economics` population` cpi` gdp` income

State Agency Databases – GODORT

Government` government` directory` links` wiki` states

National Bureasu of Economic Research: Data

Government` economics` links

Bureau of Labor Statistics Data

Government` economics` lumber` building` materials` homedepot

NBI ASCII Files – Bridge – FHWA

Government` government` bridges` safety

Twitter API Wiki / REST API Documentation: Social Graph Methods

Network Analysis` graph` network` api` social` twitter

Using the Wikipedia link dataset — Henry Haselgrove

Network Analysis` graph` network` link` wikipedia` pagerank

twibs : find the businesses on twitter

Network Analysis` directory` businesses` twitter` companies

Massive Scrape of Twitter’s Friend Graph « blog.infochimps.org – Organizing Huge Information Sources

Network Analysis` textmining` twitter` network` socialnetwork` pagerank` graph` queryminer

Twitter Scrape (rough draft) – get.theinfo | Google Groups

Network Analysis` twitter` socialnetwork` graph

wiki.dbpedia.org : Downloads 32

Network Analysis` wikipedia` named_entity` rdf` ontology

ICWSM 2009 – International AAAI Conference on Weblogs and Social Media

Network Analysis` blog` crawl` corpus` network` web` link

Linked Movie Data Base

Network Analysis` rdf` movies` movie` api

YouTube Dataset

Network Analysis` youtube` research` crawl` socialnetwork` network` graph` web

API Documentation – Twitter Development Talk | Google Groups

Network Analysis` twitter` text` api


Network Analysis` wireless` RF` radio` signal` dartmouth` network

Yahoo! Music API – YDN

Network Analysis` api` yahoo` music` artists

Lookery Developer Network – Lookery Developer Resources

Web Analytics` web` analytics` api` traffic` advertising` demographics` lookery

True Marble Imagery – Free Download

Spatial Analysis` gis` geo` map` mapping` images` satellite

Zillow – Labs – Neighborhood Boundaries

Spatial Analysis` neighborhoods` geo` gis` maps

Full Examples — PyMVPA Home

Image Analysis and Video Analysis` fmri` neuroscience` python` neuralnetwork

HumanScan : BioID : Downloads : BioID Face Database

Image Analysis and Video Analysis` face` detection` image

Face Detection

Image Analysis and Video Analysis` facerecognition` opencv` face` links

NORB Object Recognition Dataset, Fu Jie Huang, Yann LeCun, New York University

Image Analysis and Video Analysis` image` 3d

LIFE photo archive hosted by Google

Image Analysis and Video Analysis` images` photo` pictures` search

Activity Recognition: Datasets, Bibliography and others

Image Analysis and Video Analysis` activity` recognition` intent

Frontal Face Databases

Image Analysis and Video Analysis` facerecognition` face` image` recognition

Copyright Free and Public Domain Media

Image Analysis and Video Analysis` images` audio` publicdata` maps` video` free

Databases you can use for benchmarking

Image Analysis and Video Analysis` image` vision` recognition`

2007 IEEE AVSS Detection and Tracking Algorithm Datasets

Image Analysis and Video Analysis` tracking` video` detection` image` recognition` vehicle` pedestrian`


Image Analysis and Video Analysis` image` recognition` detection` pedestrian` thermal` tracking` facerecognition` illumination

Carnegie Mellon University – CMU Graphics Lab – motion capture library

Image Analysis and Video Analysis` gait` pedestrian` walk` motion

public domain sounds | free sound library

Audio Analysis` sound` publicdomain` audio

Full Examples — PyMVPA Home

Bioinformatics` fmri` neuroscience` python` neuralnetwork

CinC Challenge 2000 data sets

Medical Informatics` timeseries` machinelearning` ecg` health` medical` sleep` apnea

UC Berkeley. Sheldon Margen Public Health Library. Statistical/Data Resources

Healthcare Analytics` health` links` resources` publichealth` berkeley

Google Flu Trends | How does this work?

Healthcare Analytics` google` health` trends` search` prediction` epidemiology` biodefence` queries

Eigenvector Research, Inc. : Data Sets Available to Download

Chemoinformatics` NIR` spectra` chemistry` semiconductor` pharmaceutical` matlab`

Vaccines: IIS/Tech/Deduplication Test Cases

Healthcare Analytics` duplicate

Health Data Tools and Statistics

Healthcare Analytics` health` information` public` publicdata

Cardiac MRI dataset – York University

Healthcare Analytics` mri` cardiac

NACDA: Search Holdings

Demography` aging` statistics` studies

Poverty Data Sets General Information

Demography` poverty` statistics

Pew Internet & American Life Project

Demography` internet` demographics` online` web

The 2000 U.S. Census: 1 Billion RDF Triples

Demography` gis` census` rdf` semantic` sparql

Download Database – baseball1.com

Sports Analysis` baseball` database` publicdata` statistics` sports

It’s a Pitch-by-Pitch Scouting Report, Minus the Scout – New York Times

Sports Analysis` baseball` gameday

BART – For Developers

Network Analysis` urban` transportation` feeds` public` sanfrancisco` bart` api`

Tim Davis: UF Sparse Matrix Collection : sparse matrices from a wide range of applications

Matrices` spare` matrix

Idealware: Mapping Blues: Where is the Data?

Pre-processing` resources` links`mapping

Amazon Web Services Public Datasets » Data Wrangling Blog

Amazon Web Services` amazon` ebs` ec2` s3` publicdata` hadoop

Amazon Web Services (AWS) Hosted Public Data Sets

Hosted Datasets` amazon` ebs` publicdata

WSCD09: Workshop on Web Search Click Data 2009

Web Analytics` workshop` search` web` microsoft` log`

downloading – flossmole – Google Code – How to get FLOSSmole data for your own use

Google` opensource` project` activity` mysql` dump

Multi-Domain Sentiment Dataset

Supervised` sentiment` review` product` amazon

Chris Pound’s Name Generation Page

 bizzare` scifi` phrase` name` word` generators` random` perl

Big Huge Thesaurus API: Access 145,000 Words and Phrases

Phrases` webservice` api` thesaurus` textmining` nlp` rest`

Search Query Performance report – Google AdWords Help Center

Performance` adwords` ppc` search` metrics` webanalytics` sem` query` queryminer

Wordze Keyword Research Tool

Web Analytics` queryminer` keyword` tool` research` commercial` search` adwords

Searchable Catalogs of Data

Network Analysis` links` catalogs` social

radiohead – Google Code

Audio Analysis` lidar` visualization` radiohead` google` video

80 Million Tiny Images

Image Analysis and Video Analysis` images` words` english` search` visualization` imagemap

Time Series Center | Harvard University

Temporal Analysis` timeseries` anomaly` detection` astronomical` physics

OpenVisuals – Open Source Visualization Framework

Image Analysis and Video Analysis` visualization` community` design` processing

BGN: Domestic Names – State and Topical Gazetteer Download Files

Demography` gis` usgs


Random` benchmark` clustering` regression` machinelearning` list` statistics` mathematics

Isomap Datasets

Image Analysis and Video Analysis` nonlinear` dimensionality` reduction` faces` digits` images` manifold

Yahoo! Search Blog: BOSS — The Next Step in our Open Search Ecosystem

oss` api` open` search` yahoo` BOSS` queryminer

Download the Database – IP Address Lookup – Community Geotarget IP Project

Network Analysis` geocoding` geoip` internet` ip` ipaddress` mysql

Airline Data Project

Government` airline` statistics` finance` revenue` location` travel

Show Us a Better Way: What public data is already available?

Government` statistics` census` uk` school` news` publicdata

NGA: Country Files

Government` country` cities` geo

OHPI – Traffic Volume Trends

Government` government` traffic` statistics` trends` transportation

Semantic Search the US Library of Congress

Government` via:inkdroid` libraries` mashup` rdf` semantic` search` semanticweb` books

reddit.com: Ask Reddit: Where to download a DB dump of Reddit?

Text mining` reddit` socialnetwork` news` web

Collaborative filtering dataset – dating agency

Text mining` collaborative` filtering` dating` rating` profiles` czech

About Us – Predictify

Business and Finance` predictionmarket` tool` finance` buzz` advertising` marketing` startup` mmds

VGChartz.com | Video Games, Charts, News, Forums, Reviews, Wii, PS3, Xbox360, DS, PSP

Business and Finance` sales` ranking` videogames` retail

Store Level Information

Business and Finance` retail` finance` sales` store`

Code for querying and downloading Flickr images

Image Analysis and Video Analysis` image` python` code` flickr` matlab` recognition

Image Parsing Datasets

Image Analysis and Video Analysis` image` recognition

TAGora » Data

Network Analysis` tag` tagging` s

TAGora » Data

Network Analysis` netflixprize` imdb` sparql

Quality of Life Grand Challlenge Dataset: Kitchen Capture

Image Analysis and Video Analysis` machinelearning` motion` capture` sensor

Summize Twitter Search API

Text mining` api` buzz` opinion` trends` text` twitter` summize` search

2008 IEEE InfoVis Contest Dataset

Image Analysis and Video Analysis` visualization` contest` scalability` motion` tracking` pedestrian` sensor

IMDb Pro : Scary Movie 4: Box office

Business and Finance` movie` revenue` sales` box_office` imdb` commercial` movie_study

Spider-Man 2 (2004) – Daily Box Office Results

Business and Finance` movie` revenue` box_office`

Live Search : xRank™ Celebrity — check out who’s hot and who’s not!

Network Analysis` search` query` volume` trends` celebrity` prediction` buzz` named_entity

IMDbPro.com Free Trial Signup

Business and Finance` movie` revenue` timeseries` imdb` commercial` subsription

Free time-series and micro-data to download

Business and Finance` economics` links

PyGTrends: Python API for Google Trends Data

 google` trends` search` web` analytics` api` code` python` hack

Official Google Blog: A new flavor of Google Trends

 google` trends` search` query` api` csv` keyword` timeseries

Open Research – the Data: Lastfm-ArtistTags2007 – Duke Listens!

 last.fm` music` tagging` artists` tags` collaborative` filtering

i2b2: Informatics for Integrating Biology & the Bedside

 medical` obesity`

Tiger Data Set Lecture

 tiger` gis` lectures

Google To Launch Large Scale Geo-Services

 geo` google` gps` location` geolocation` cell` wifi` api` gis

Last.fm’s Playground

 celebrity` misspelling` spelling` names

ImportGenius.com : U.S. Customs Database and Competitive Intelligence Tools

 commercial` shipping` imports` exports` finance` datamining

Directory Listing of Betfair price files

 betting` prediction` betfair` price` csv` predictionmarket

Reuters Spotlight – Article and Media API

 news` text` articles` api` content` media` xml` images` publicdata

DataSets – Scikits – Trac

 scipy` python` machinelearning` statistics` resource

[Wikitech-l] page counters

 wikipedia` pageviews` trends` textmining` seo` topic

Wikipedia article traffic statistics

 via:chl` wikipedia` web` analytics` seo` topic` textmining` traffic

Yahoo! Internet Location Platform – YDN

 yahoo` geo` geocoding` location` landmarks` gis

How to find images on the internet « Random knowledge

 images` links` lists` archive`

Yahoo offers geographic data to Web sites | Tech news blog – CNET News.com

 gis` webservice` yahoo` api` location` landmark

Instructions for Obtaining Search Engine Transaction Logs

 query` search` log` excite` altavista` alltheweb` transaction

TechTC – Technion Repository of Text Categorization Datasets

 datamining` textmining` categorization` classification` odp` directory` text

The TechTC-100 Test Collection for Text Categorization

 textmining` classification` category` odp` directory

FEC Election Contributions: Download Detailed Files by Election Cycle

 individual` donations` government` election` publicdata` fec

Juiced Google Analytics Python API: Juice Analytics

 search` statistics` keywords` analytics` api` python` web` seo` google

Country Name and ISO 3166 Code MySQL Import File

 mysql` states` countries` isocode

geocoded Hotels « GeoNames Blog

 hotels` geonames`

GeoNames webservice and data download

 locations` cities` countries` gis

Index of /download/worldcities

 cities` gis

ualberta dependency based thesaurus and word count data

 corpus` text` similarity` terms

CommonCrawl – About

 web` crawler` bot`

Data sets and corpus / corpora for biological literature and text mining  

 bioinformatics` text` corpora` domainspecific` genomics` corpus`

Office of Defects Investigation (ODI), Flat File Downloads

 defect` recall` automobile` fightclub` nhtsa` saefty

p2psim – kingdata : DNS server latency network distance matrices

 distance` matrix` network` p2p` dns` latency` nmf` queryminer

Sep Kamvar / Personalization /

 pagerank` web` matrix` matlab


 opentick` trading` beta` feeds` finance

WikiXMLDB: Querying Wikipedia with XQuery

 wikipedia` xml` ec2

kiwitobes.com » Blog Archive » Walmart Growth Video

 walmart` visualization` video` freebase` store` retail` locations` opening

Open Cell Id dataset – phone geolocation from GSM cellids

 gis` mobile` geolocation

The Cornell Web Lab – The Cornell Web Lab

 cornell` web` archive` hadoop` crawl

im2gps: estimating geographic information from a single image

 imagerecognition` via:csantos` gis` cmu` gps` imageprocessing` paper` hack` freaking_awesome

Datasets: MUSCLE WP2 Evaluation, Integration and Standards

 image` video` audio` currency` sports` imagerecognition

Open Economics – Store – Index

 economics` list

welcome @ omdb

 free` movie` database` netflixprize

Cogblog » Blog Archive » Cogmap APIs

 api` cogmap` person` name` organization` record_linkage

Wal-Mart : Freebase – The World’s Database

 retail` locations` stores

Cogmap: The Org Chart Wiki

 record_linkage` identity` name` organization` orgchart` marketing

German English Parallel Corpus “de-news”, Daily News 1996-2000

 german` translation` corpus` english` text` via:maxme

Welcome to the CRCNS data sharing activity website — CRCNS

 neuroscience` patch` clamp` recordings` neuron` timeseries` patchclamp` data` neural

Infochimps.org: Free Redistributable Rich Data Sets

 aggregator` links

Frequent Itemset Mining Dataset Repository

 retail` clickstream` traffic` web` links` sales

Dolores Labs Blog » Blog Archive » Our color names data set is online

 colormap` color` mechanicalturk

TeradataUniversityNetwork.com -> Registration

 teradata` retail` transactional` database

Pascal Learning Challenge Large Datasets

 large` competition` challenge` svm` machinelearning` scalability

ECIS 2007 – The 15th European Conference on Information Systems

 retail` dillards` sams_club

Alexa Web Search

 alexa` aws` web` search` api`

State and Federal Case Law

 creativecommons` court` legal` law` via:inkdroid

Access to Web Research Collections VLC2/WT10g/WT2g

 blog` web` text

Lyricsfly Lyrics API, database access to search for music artist and song title

 song` lyrics` database` api`

99 Wikipedia Sources Aiding the Semantic Web » AI3:::Adaptive Information

 links` directory` record_linkage` extraction` wikipeida` named_entity` recognition` textmining` semanticweb

AudioScrobbler Data

 audioscrobbler` recommendation` collaborative` filtering` music

The Linking Open Data dataset cloud

 directory` rdf` semantic` data` soup` graph

Free Economic Data | Economic, Financial, and Demographic Data

 finance` economics` portal` links

::MLSP 2008::: MLSP competition

 machinelearning` trading` competition` backtest` matlab` code` finance` via:DeliciousRob

Computer Vision Test Images

 computer` vision` image` ray` trace` fingerprint` stereo` detection` via:chl

The Dataverse Network Project | The Dataverse Network Project

 statistics` repository` harvard

DVN – Home

 harvard` repository` social` science` research` portal` links

Temperature data (HadCRUT3 and CRUTEM3)

 climate` temperature` netcdf

MNIST handwritten digit database, Yann LeCun and Corinna Cortes

 handwriting` mnist` image` recognition

LFW : Labelled Faces in the Wild

 facerecognition` face` recognition` umass` image

Making random contacts – (37signals)

 generator` names

Test (Sample) Data Generators

 generator` tools` list` via:jd

Compete – Compete Developer Resources

 compete` api` web` statistics` traffic` analytics` mashup

Machine Learning (Theory) » The Peekaboom Dataset

 peekaboom` vision` image` large` human` computation` machinelearning` recognition

Ocean Processes and Modeling: Ocean Data

 links` oceanography` satellite

BlogoCenter data sets

 blog` ucla

Tagged datasets for named entity recognition tasks

 nlp` corpus` tagged` named_entity` recognition` list

del.icio.us stats – deli.ckoma


The Financial Data Finder A – G

 finance` links

Freebase Wikipedia Extraction (WEX)

 wikipedia` xml` structured` corpus

The arXiv.org API

 arxiv` api` open` paper` academic`

England Football Results Betting Odds | Premiership Results & Betting Odds

 gambling` soccer` football` excel` statistics

HughesData – Main – Hughes Lab

 rna` bioinformatics` microarray` expression` gene` machinelearning

Stanford MicroArray Database

 bioinformatics` microarray` expression` gene` machinelearning` stanford

ArrayExpress Home

 bioinformatics` microarray` expression` gene` machinelearning

Gene Expression Omnibus (GEO) Main page

 bioinformatics` microarray` expression` gene` machinelearning

Index of /courts.gov

 corpus` text` legal` law` court` ruling` opensource` publicdata

Welcome to Openvest

 python` finance` edgar` pylons` matplotlib` sec` webservice` via:jolby

Statistical Science Web: Data Sets

 links` statistics

Text Mining, Visualization and Social Media

 crawler` blog` corpus

Aleix Face Database

 facerecognition` machinelearning` face` image

Data Repository Evaluation

 umd` links` statistics` government` sports` via:rickladd

PMC FTP Service

 biology` medicine` articles` text` journal` authors

“uspop2002” data set

 music` similarity` machinelearning

Internet Archive: Details: Amazon ASIN listing and similarity graph

 ASIN` amazon` recommendation` collaborative` filtering` via:keyvowel

European Climate Assessment Daily Weather Data

 weather` europe` ascii` netcdf

StatLib—Datasets Archive

 machinelearning` datamining` cmu` link` collection

National Household Travel Survey (NHTS) Data

 driving` transportation` publicdata

Nielsen BookScan USA

 books` sales` commercial

Home – Numbrary

 finance` data`

About – Numbrary

 searchengine` search` tagging` aggregator` numeric` extraction` tables` collaboration` web2.0

Main Page – OpenTextMining

 textmining` open` nature` standards` search

Metafilter Infodump

 metafilter` comments` network` via:chl

WEBSPAM-UK2007 | Datasets | Web Spam Detection

 web` search` spam` crawler` yahoo

Trust network datasets – TrustLet

 socialnetwork` trustnetwork` trust

TaskForces/CommunityProjects/LinkingOpenData/DataSets – ESW Wiki

 opendata` semantic` rdf` collaboration

Some Datasets Available on the Web » Data Wrangling Blog

 publicdata` links

XML.com: GovTrack.us, Public Data, and the Semantic Web

 semanticweb` rdf` congress` politics` government

CiteULike: Available datasets

 networks` research` graph` tags` paper` record_linkage


 archive` internet` web` index`

Challenge: Synopsis – Causality Workbench

 competition` machinelearning` forecasting` contest

Natural Language Processing

 microsoft` text` paraphrase` corpus

LDC – Linguistic Data Consortium – Obtaining Data Resorces

 nlp` text` corpus` ngram` google` commercial` license

1990 Census Name Files

 census` names` identity` frequency` record_linkage

Given Name Frequency Project: Analysis of Given Name Popularity

 name` record_linkage` text` identity` code

Email Datasets

 enron` names` identity` text` record_linkage

ZoomInfo – Welcome to the ZoomInfo Developer API

 api` identity` people` webservice` record_linkage

Name Discrimination Data Named Entity Resolution /  Entity Disambiguation

 record_linkage` corpus` nlp` names

Developers Area – eBay Market Data Documentation – eBay Market Data Documentation

 ebay` api` retail` price` code

New SwetoDblp RDF dataset released with 11M triples

 name` authorship` rdf` record_linkage

LSDIS : SwetoDblp

 bibliography` rdf` ontology` duplicate` name` record_linkage

StrikeIron Super Data Pack Web Service 1.0 – StrikeIron Marketplace

 webservice` publicdata` datacleaning

Duplicate Detection, Record Linkage, and Identity Uncertainty: Datasets

 duplicate` detection` record_linkage` datacleaning` text

INFO 747 – Social and Economic Data

 datacleaning` record_linkage` video` lectures` course` cornell` economics` finance` publicdata

Overstock.com Affiliate Program

 retail` overstock` sales` api` product` price` forecasting

Amazon Web Services Developer Connection : Can Alexa WS provide detailed …

 finance` alexa` amazon` tech

Market Data — eBay Developers Program

 ebay` retail` pricing` sales` api` product

Machine Learning and Data Mining – Datasets

 face` image

GIS for Schools

 epidemiology` gis` health

Google Trends API coming soon | Tech news blog – CNET News.com

 google` trends` api`

MIT Media Lab: Reality Mining

 social` activity` location` cell` gis

RL Competition 2008 – Home

 machinelearning` reinforcement` agent` competition`

Vehicle Routing Data Sets

 optimization` vehicle` routing

EIA – Petroleum Data, Reports, Analysis, Surveys

 oil` energy` statistics` economics` petroleum

DMOZ100k06 – Michael G. Noll

 search` pagerank` text` tags` content


 machinelearning` CMU` course` projects` graphicalmodel` code` paper

Financial Forecast Center’s Historical Economic and Market Data

 exchangerate` dollar` economics`

Browse Business Cycle Indicators Data

 economics` indicators` time` series

The Numbers Guy : Aspiring to Be the Wikipedia of Numbers

 finance` numberpedia` mechanicalturk` textmining` statistics

Social characteristics of the Marvel Universe

 socialnetwork` graphs` comicbooks

SourceForge.net: Word Lists Collection

 dictionary` words

See Who’s Editing Wikipedia – Diebold, the CIA, a Campaign

 wikipedia` authorship`

Dataset Generator – Perfect data for an imperfect world.

 tools` generator

Entree Chicago Recommendation Data

 recommender` collaborative` restaurant

community resource guide: i’ve been here before – show me the links

 demographics` maps` gis` statistics` links

Social Science Data on the Net

 economics` social` government` health` labor` links

List of films: A – Wikipedia, the free encyclopedia

 netflix` netflixprize` movie` index` wikipedia`

The arXiv on your harddrive

 paper` corpus` arXiv

Insanely Useful Websites | Sunlight Foundation

 links` transparency` government` politics` congress` reference

Technophilia: Where to find public records online – Lifehacker

 public` records` links

Junk email project

 corpus` email` spam` textmining

Enron Email Dataset

 enron` corpus` email` text` social` network


 finance` cpi` inflation` data

GOS – Geospatial One Stop

 health` gis` epidemiology` links

CIA Factbook Grep in Python

 cia` population` python` code` grep

Miller Center of Public Affairs – Richard Nixon – Oval Office Recordings

 nixon` speech` tapes` audio` mp3` wav` flac

Deborah Jeane Palfrey Legal Defense Fund

 phone` politics

UC San Diego Data Mining Competition – 2007 – Datasets

 housing` refinance` mortgage`

Retail Industry Financial Ratios & Benchmarks

 retail` finance` sales` sqft`

Retail Industry Financial Ratios & Benchmarks

 retail` finance` sales` sqft

stores | POI Factory

 retail` location` poi

GpsPasSion Forums – ** INDEX OF POI COLLECTIONS **

 retail` poi` location` gis` gps

GPS POI US : Home > Retail Stores

 retail` location` gis

Collective Dynamics Group

 smallworld` networking` socialnetwork` graph

Jester Data download page

 collaborative` filtering` jokes

TricTrac: Video Dataset


Premium Business Information Databases – AlacraWiki

 links` finance` commercial

Index of /edgar

 finance` xml` edgar` sec` code` perl

Mail Index

 EDGAR` sec` mail` text

metafy / Anthracite Idioms

 finance` SEC` scrape` parse` commercial

Retail and Food Services – Time Series Data/Seasonal Factors

 retail` sales` census


 categorization` textmining` detection` tools

Volume of retail sales: Social Trends 33

 retail` sales` uk


 tools` generator` random

Melissa DATA – Lookups

 consumer` data` database` api

FactSet: Data Maven – Kiplinger.com

 factset` finance`

IBES (Demo)

 finance` ibes` analyst` forecast` wharton

Thomson Financial I/B/E/S Data


Historical Quotes – Yahoo! Finance

 yahoo` finance` stock` price`

Network data

 network` links

Bureau of Labor Statistics Home Page

 statistics` labor` government` consumer

NAR: Research: EHS Data

 housing` sales` finance

RFA – The Industry – Industry Statistics


Chain Store Guide – Retail Locations

 retail` finance` store` locations` gis

Press Releases – Directions Magazine

 retail` gis` store` locations

Energy Information Administration – EIA – Official Energy Statistics from the U.S. Government

 finance` government` energy` historical` forecasts` fuel` oil

Databases you can use for benchmarking


UPC Database: Downloads

 product` upc` database`

Web Crawling / Crawl Datasets at Tobias Escher at the OII

 crawler` benchmark` search` web` links

TechTC – Technion Repository of Text Categorization Datasets

 corpus` text

TMC data archive download site

 traffic` data`


 volume rendering

Computational Vision: Archive

 vision` caltech` image recognition

DC Pedestrian Classification Benchmark

 pedestrian` image` classification` detection

opentick :: home

 finance` economics` feed` free` stock` trading` opentick` opensource

Web as Corpus

 textmining` corpus` concordance` wordlist` n-gram

.:[ packet storm ]:. – http://packetstormsecurity.org/

 dictionary` hack` security` wordlist` password

Enron Dataset

 data` mysql` email` energy` text` social network

Splog Blog Dataset

 blog` corpus` spam

Home Page for 20 Newsgroups Data Set

 corpus` text` newsgroup

White Glove Tracking

 crowd sourcing` image` processing` algorithm` collaborative` distributed` web2.0` code` opensource

NOAA Paleoclimatology Program – Coral and Sclerosponge Data

 paleo climatology` climate` oceanography` coral` sponge` biology

NAICS — North American Industry Classification System

 finance` economics` naics` industry` classifications

Saving Democracy With Web 2.0 –

 democracy` web2.0` mashup` government` funding` article

Congresspedia – Congresspedia

 collaborative` wiki` government` congress` politics` elections` web2.0` directory

Population Estimates Data Sets

 census` data` population` statistics

CRAN Task View: Machine Learning & Statistical Learning

 statistical learning` machine learning` code` R` libraries` cran`

Data for Data Mining

 linkd` datamining` timeseries` text` extraction` socialnetwork

PAIDA – Pure Python scientific analysis package

 python` visualization` library

SUBDUE – Graph Based Knowledge Discovery

 machine learning` network` graph`

AOL search data mirrors

 aol` search`

Python Cheese Shop : shakespeare 0.4

 python` text`

AG’s corpus of news articles

 corpus` nlp` machine learning` textmining

Sampling Techniques for Massive Data – Google Video

 video` machine learning` statistics` matrix` sampling` large` sparse` algorithm` experiment_design

metachronistic » Mirror the Wikipedia

 wikipedia` laptop` install` dump

LETOR: Benchmark Datasets for Learning to Rank

 ranking` search

CN710: Comparative Analysis of Learning Systems (Spring 2006) – Class Project

 machinelearning` algorithm` ogi` bu` greyhound` finance

UrbanSim Home

 python` urban` software` simulation` opensource` GIS` census`

System One – Wikipedia³

 wikipedia` rdf`

System One – Labs

 wikipedia` rdf` tools

Face Recognition Homepage – Databases

 face` algorithm` facere cognition` data` image

CBCL SOFTWARE Face data set

 face` seung` algorithm` recognition` image

Text Analytics Solutions from ClearForest

 extraction` finance` semantic` semanticweb` text

23C3 – Mining Search Queries – Google Video

 aol` search` video` talk` algorithm` information retrieval` datamining` machinelearning

Digital History Hacks: Keywords and Clues

 aol` search` query` analysis

Digital History Hacks: Searching for History

 aol` search` query` analysis

The Tom Kyte Blog: An interesting data set…

 aol` search` oracle` database` code

KDD 2005 – KDD Cup 2005: Aug 21-24, Chicago, IL. USA

 query` categorization` algorithm` google

Statistical NLP / corpus-based computational linguistics resources

 corpus` machine learning` text

Ph.d.-student Rasmus Elsborg Madsen

 text` machine learning` context` matlab

Intelligent Web Search and Mining: Tools & Resources

 machine learning` code` links

PageRank Datasets and Code

 pagerank` code` algorithm

Official Google Research Blog: All Our N-gram are Belong to You

 linguistics` google` ngram` nlp` record_linkage

Hyper-threaded Java – Java World

 clustering` algorithm` java` parallel

Statistical Modeling, Causal Inference, and Social Science

 blog` econometrics` finance` machine learning` math` statistics

Structural Analysis of Discrete Data and Econometric Applications,

 books` econometrics` economics` finance` ebook

Kris Brower » Archives » Google Onpage Search Results Analysis

 google` ranking` aol` search` analytics

CSE 250B Fall 2006

 netflixprize` machine learning` course`

Matrix Market

 matrixmarket` matrix`

Estimation of mean values, covariance matrices and imputation of missing values

 imputation` matlab` missing` EM` machinelearning

Face Detection

 face` image

CSE 250B Project 4, Fall 2006

 subset` netflix prize` dimensionality` reduction


 extract` from` graphs` hack` google` trends

cwm – a general purpose data processor for the semantic web

 python` processor` semantic` web` rdf

WebBase Project

 link` analysis` structure` web` crawler` stanford

sam roweis : data

 machine` learning` matlab` python` hackers` image

Flight Data and Weather Data

 flight data` airplane data` weather data` airline route data` aircraft flight data` in-flight analysis` airline on-time data

Survey of Patients Hospital Experiences

 healthcare analytics` subjective outcomes` healthcare customer service` quality of care` patient care` patient surveys

Largest collection of longitudinal hospital care data in the US

 healthcare analytics` healthcare big data` research datasets` national in-patient statistics` local healthcare statistics` in-patient statistics` hospital cost data` hospital use data

Ambulatory healthcare data

 physician visits data` doctor visit data` outpatient care data` private practice physician data` non-federal healthcare data` physician office data

Index of /data/sequence/mnist

 mnist` xml` format

MNIST handwritten digit database


Book-Crossing Dataset

 data` set` collaborative` filtering` datamining` books` movie


 movie` netflix prize` source`netflix

Submissions Guidelines for the Collectorz.com Online Movie Database

 movie` source


 plot` synopsis` movie` netflix prize` prize


 netflixprize` prize` european` movie` revenue`

Data dumps – Meta

 mediawiki` wikipedia` import` mysql` sql

“phone ***” ” address *” “e-mail” intitle:”curriculum vitae” – Google Search

 resume` google


 random` generator` database` sql

Lending Club Loan Data


SMS Spam Collection

spam`email`text analysis

Data Sets | Pew Research Center’s Internet & American Life Project


Flickr personal taxonomies


Yahoo Data for Researchers


DBLP Computer Science Bibliography

bibliographies`text mining

ICWSM Spinnr Challenge 2011 dataset

weblog`blog`social media`network analysis

Quantum Chaotic Thoughts: Facebook100 Data Set

facebook`network analysis`social

Public Data Sets on Amazon Web Services (AWS)

Amazon Web Services` amazon` ebs` ec2` s3` publicdata` hadoop

The ClueWeb09 Dataset

human language`text mining

Data | The World Bank




What is Twitter, a Social Network or a News Media? – WWW’10

twitter`text mining`social

dotbot | DotNetDotCom.org

spider`web analytics

arXiv.org help – arXiv Bulk Data Access – Amazon S3

Amazon Web Services` amazon` ebs` ec2` s3` publicdata` hadoop

YouTube Dataset

youtube`image analysis`video analysis

Face Recognition Homepage – Databases

face recognition`facial recognition`image analysis

UCI Network Data Repository

data repositories

Datasets for “The Elements of Statistical Learning”


MovieLens Data Sets | GroupLens Research

movies`video analysis`business

Translation Task – EMNLP 2011 Sixth Workshop on Statistical Machine Translation

translation`human language

Project Gutenberg

books`text mining

About WordNet – WordNet – About WordNet


Aligned Hansards of the 36th Parliament of Canada

canada`parlaiment`government`text mining

CRCNS – Collaborative Research in Computational Neuroscience – Data sharing

Bioinformatics` fmri` neuroscience` python` neuralnetwork

USENET corpus

usenet`text mining





UCI Machine Learning Repository


Gene Expression Omnibus (GEO) Main page


Social Science Data

social science

IMDB dataset


Stanford Large Network Dataset Collection

network analysis

Google Books n-gram dataset

books`text mining

Million Song Dataset | scaling MIR research

audio analysis

Belly Button Biodiversity 2.0

health informatics`bioinformatics

Datasets – Modeling Online Auctions


2gb of photos of cats

image analysis`pets`cats

Click Dataset | Center for Complex Networks and Systems Research

web analytics

The Electric Rice Cooker — One year of deleted weibos archive

text mining

Registered meteorites that has impacted on Earth visualized – AnalyticBridge


GeoJSON files for real-time Virginia transportation data.


NYPD Crash Data Band-Aid


State Department of Education datasets

student performance`school demographics`standardized test performance`school quality`education

Refreshed from my June 2013 post.


A simple but powerful method for structured, transparent decision making within a group is demonstrated using a supplied template and the supporting process.  The approach employs a weighted decision matrix with authoritative attributes, leads to an individual decision outcome, and composes a group decision using basic statistical methods.  The goal is a simple-to-convey means by which to discover factors, results, agreement, and influencers in group decision making.

Download the group decision making template (filled with example data) in:

Excel 2010 format (*.xslx)

OpenData format (*.odf)

Decision Making

A common dilemma in organizations is the need for rapid decision making on complex subjects.  The default unstructured open-dialog approach appears to respect the judgment of the individual while actually putting the possibility of a quick, fit, and defensible solution beyond reach.  Further complicating factors such as decision makers’ distribution across multiple locations, differences in controlling standards among group members, and competing organizational interests add additional noise to an unstructured process.  Focused analysis of a 10-factor decision with 3 options for example requires each individual to evaluate in real-time, 30 combinations while debating on- and off-topic aspects.

The use of a weighted decision matrix and rudimentary analysis provide a simple tool set for rapid group decision making on complex subjects.  By including strategic-level experts in each area affected, documenting the aspects that impact the decision, and approaching the problem methodically will reduce the time to complete the exercise.  The steps to complete the process also enable instant identification of differences and commonality of opinion for targeted debate.  Use of this method is particularly prescribed when analyzing multiple options and their measures of value across decision spaces such as (not exhaustive):

  • finance ,  emphasizing  ROI, NPV, FV, and Opportunity Cost
  • engineering, focused on technical obstacles, multi-year plans, legacy technology issues, cost of skilled resources, and operational complexity
  • sales, stressing time to market, product features, product relevance, and “seize-the-moment” opportunity capture support
  • business capture decision making and negotiations
  • and portfolio strategist, concerned with SWOT analysis, market trends, and integration into the enterprise ecosystem

Weighted Decision Matrix Concept

A tool commonly used to achieve a quantifiable (but still subjective) answer to any type of question from “What university should I attend?” to “Should I invest in a business intelligence services department for my multi-national company?” is the weighted decision matrix.  Only a few elements are required for analysis:

Factor Weight Option 1 Score on Factor

Option n Score on Factor
Factor 1
Factor 2

Factor n


The required elements to complete the matrix are the list of factors involved in the decision, the weights to apply to each factor, a column for each option under study, and a number representing how well the option positively supports each factor.


Factor – An attribute that supports a positive outcome in the final product.  Examples might be “Uses only open-source software” for a software platform acquisition, “Close to home” for selection of a college, “Regular work hours” for a new job.

Fitness – a simple measure of weight times score indicating the relative strength of an option when measured against a factor.

Weight – The absolute importance of each factor individually.  It is not a ranking or other direct competition between factors.

Option – A potential outcome in the decision.  Options for selecting a university might be “Middle Tennessee State University, University of Tennessee, and University of Virginia”.  Options for a statistical analysis desktop application might be “WEKA, Excel, RapidMiner, and Statistica”.

Option score – The measure of how well the option satisfies the factor.  A factor “Software is open source” might score 0 for Microsoft Excel but 7 for RapidMiner.  The score is determined by the analysis and expert opinion of each decision maker.

The Decision Making Process

It is important to follow the process as closely as possible as it reduces the possibility of biasing the final decision and optimizes the ability to make quick decisions.

Phase I – Group Factor Identification

  1. Identify a single facilitator.  This individual is responsible to keep the conversations on-point, attempt to negotiate the phrasing of the factors when disagreements arise, distribute the final factor list, collect everyone’s results, and publish the final results.
  2. Call all required individuals together at one time to define the factors in the decision.  Consider no other aspect of the decision at this point and do not pre-suppose any options.
  3. Make a list of the factors involved in the decision.  Phrase the factors in a way that supports a positive result and is definitive.  “Must add value” for example is not definitive and would not be a good factor as it is too relative.  Likewise, “Does not integrate with our current technology” is negative and will undermine the measurements.
  4. Define the options or courses of action that could be selected.  The options should be well-understood and not vague.  If selecting a school for example a good option might be “Middle Tennessee State University” instead of “A college in Tennessee” as it will not be realistic to rate a broad and non-specific option.
  5. Write the finalized options and factors on the decision matrix template and create one matrix per rater.  The remainder will be performed individually.
  6. Cover or hide the Options columns.  This is done so the process is not skewed by previewing the results.
  7. Rate the factors beginning with the first factor.  Rate the factor’s importance from zero (low) to ten (high).  Zero indicates the factor is absolutely not important in your individual estimation, ten indicates this factor is absolutely vital.  Any whole number between zero and ten is valid.
  8. Hide the weight column and uncover the score column for the first option only.
  9. Score the option against the factor, zero (low) to ten (high).  If the option is a perfect fit for the factor it may score a ten, if the factor provides no support at all for the factor it may score zero.  Any whole number between zero and ten is valid.
  10. Show all the columns and view the results.  A sample result appears in Figure 1.

Phase II – Individual Scoring

  1. Cover or hide the Options columns.  This is done so the process is not skewed by previewing the results.
  2. Rate the factors beginning with the first factor.  Rate the factor’s importance from zero (low) to ten (high).  Zero indicates the factor is absolutely not important in your individual estimation, ten indicates this factor is absolutely vital.  Any whole number between zero and ten is valid.
  3. Hide the weight column and uncover the score column for the first option only.
  4. Score the option against the factor, zero ( low) to ten (high).  If the option is a perfect fit for the factor it may score a ten, if the factor provides no support at all for the factor it may score zero.  Any whole number between zero and ten is valid.
  5. Show all the columns and view the results.  A sample result appears in Figure 1.

Individual Weighted Decision Matrix Example for Group Decision making
Figure 1. Weighted Decision Matrix-Individual

Phase III – Facilitator Compiles Results

Copy each individual matrix and paste it into a new tab in the template.  Adjust the formulas in the Results tab to reflect the locations and numbers of the factors and results in each matrix.  A sample Result appears in Figure 2.


Group Decision Making Results
Figure 2. Group Decision Results



The decision making result measures shown in the template are not a complete list of those that could be created.  Further analysis could be performed to determine if one idea such as geographic location or known-concept bias is skewing the results (through language processing and/or a dependency parser if data mining resources are available).  Most of the agreement/disagreement measures rely on standard deviation to show how broadly the data are distributed as well as the data skew to demonstrate if there were individual strong opinions that affected the outcome significantly.

The Final Result is a Compromise

The consensus result is that with the highest final score.  In the example above option 2 received the highest final score at 632.  This value represents how the group (composed of individual assessments) determined the option fit the requirements (the factors).

Relative Strength of Disagreement

This metric uses the standard deviation of the population (STDEV.P in Excel) to determine how widely distributed the individual scores are.  The notion is that with perfect agreement the standard deviation is zero and the more widely the scores vary the larger this figure and the bar in the Excel cell will be.

Disagreement Heat Map

This section displays the degree of contention within the results and uses the values from the Relative Strength of Disagreement section.  The higher the intensity of the red coloration, the greater the degree of disagreement on that element.  The color intensity and range is configurable in the Excel template through the Conditional Formatting tab on the Home ribbon.

Points of Contention

Points of contention show only the few points that are the least agreed upon.

Agreement Heat Map

Agreement in this instance is denoted by using the inverse of the disagreement calculation (STDEV.P), or 1/(1+STDEV.P).  The agreement heat map shows the points on which the individual scores most agree and can be set aside in negotiation.

Optimistic/Pessimistic Disagreement

The degree of optimism or pessimism in this case is based on the skew (non-parametric skew to be accurate) of the data.  That is, if the mean (average) is higher than the median the data is skewed RIGHT and a few individual, strong negative opinions weighed heavily on the outcome.  Likewise, if the skew was LEFT there existed strong positive sentiment that had a disproportionate influence on the outcome.

Optimistic/Pessimistic support of the final score

As with the individual item optimism or pessimism, negative opinion dragging on the consensus is indicated by the down arrow, positive support for an opinion overinflating the result for that option shows an up arrow.


Decision making by a group may be reached quickly and transparently through a structured process of analysis.  Individual weighted decision matrices, coalesced and analyzed, with a simple process can quantify group assessment of approaches to a problem as well as a means by which to discover and de-conflict individual interests and to demonstrate when individually-held strong opinions are influencing a decision.  Further advancement of this technique through workflow automation to gather inputs, master factor lists for global factor analysis, decision trending, and term extraction for content analysis would add additional dimensions for the broader Enterprise and provide data for a supervised model of the successful or failure rates of decision outcomes.

Keywords: decision making, group decision making, group consensus building, structured decision making