diff --git a/.github/workflows/publish-test.yml b/.github/workflows/publish-test.yml
index 2128983..7199b5f 100644
--- a/.github/workflows/publish-test.yml
+++ b/.github/workflows/publish-test.yml
@@ -3,7 +3,7 @@ on:
   pull_request:
     types: [closed]
     paths:
-      - 'pandarize/__init__.py'
+      - 'bibReader/__init__.py'
 jobs:
   deploy:
     runs-on: ubuntu-latest
diff --git a/README.md b/README.md
index 913ad3e..18d9b08 100644
--- a/README.md
+++ b/README.md
@@ -1,21 +1,18 @@
-# Pandarize
-This project aims to turn all kinds of data structure/types into a nice tabulated pandas DataFrame
+[![PyPI](https://github.com/jshinm/pandarize/actions/workflows/publish-package.yml/badge.svg)](https://github.com/jshinm/pandarize/actions/workflows/publish-package.yml)
+# bibReader
+The bibReader reads non-standard bib format from files/url and convert them into pandas DataFrames to easily work with the data, and then tranforms them back into a standardized bib file.
 
 # Installation
 ```
-pip install pandarize
+pip install bibReader
 ```
 
 # Basic Usage Guide
 ```python
-from pandarize.frame import Pandarizer
+from bibReader.frame import bReader
 
-pdr = Pandarizer() #instantiate Pandarizer class
-pdr.load(source='https://somewebsite.com/filename.bib') #it can load from url or local source
-pdr.fit() #infers data types and parse it into pandas dataframe
-pdr.transform() #changes pandas dataframe into different mode of data types
+bib = bReader() #instantiate bReader class
+bib.load(source='https://somewebsite.com/filename.bib') #it can load from url or local source
+bib.fit() #infers data types and parse it into pandas dataframe
+bib.transform() #changes pandas dataframe into different mode of data types
 ```
-
-# Currently Supported Data Types
-- bib
-
diff --git a/pandarize/__init__.py b/bibReader/__init__.py
similarity index 100%
rename from pandarize/__init__.py
rename to bibReader/__init__.py
diff --git a/pandarize/_util.py b/bibReader/_util.py
similarity index 95%
rename from pandarize/_util.py
rename to bibReader/_util.py
index 78c8df1..ed635db 100644
--- a/pandarize/_util.py
+++ b/bibReader/_util.py
@@ -1,5 +1,6 @@
 from datetime import datetime
 import re
+import bibReader
 
 def rfindall(string, pattern):
     '''Find index of all occurrence of the pattern'''
@@ -62,13 +63,13 @@ def check_url(string):
 
     return False
 
-def stamper(target, name, url, marker='%'):
+def stamper(target, marker='%'):
     '''Creates head stamp on the transformed dataframe
     '''
     msg = f'{marker}'*60 + '\n'
-    msg += f'{marker} This {target} file is created and processed by {name}\n'
+    msg += f'{marker} This {target} file is created and processed by bibReader-{bibReader.__version__}\n'
     msg += f'{marker} Date: {datetime.today().date()}\n'
-    msg += f'{marker} Webpage: {url}\n'
+    msg += f'{marker} Webpage: https://github.com/jshinm/bibReader/\n'
     msg += f'{marker}'*60 + '\n\n'
 
     return msg
diff --git a/pandarize/config/config.yaml b/bibReader/config/config.yaml
similarity index 100%
rename from pandarize/config/config.yaml
rename to bibReader/config/config.yaml
diff --git a/pandarize/frame.py b/bibReader/frame.py
similarity index 97%
rename from pandarize/frame.py
rename to bibReader/frame.py
index 263818a..6c07a6e 100644
--- a/pandarize/frame.py
+++ b/bibReader/frame.py
@@ -3,7 +3,7 @@
 from .loader import Loader
 from .parser import Parser
 
-class Pandarizer(Loader, Parser):
+class bReader(Loader, Parser):
     
     def __init__(self):
         self.initialize()
diff --git a/pandarize/loader.py b/bibReader/loader.py
similarity index 100%
rename from pandarize/loader.py
rename to bibReader/loader.py
diff --git a/pandarize/parser.py b/bibReader/parser.py
similarity index 100%
rename from pandarize/parser.py
rename to bibReader/parser.py
diff --git a/examples/ndd_member_update.ipynb b/examples/ndd_member_update.ipynb
index da36cbf..ee2e8d6 100644
--- a/examples/ndd_member_update.ipynb
+++ b/examples/ndd_member_update.ipynb
@@ -16,7 +16,7 @@
     {
      "data": {
       "text/plain": [
-       "'0.0.8.7'"
+       "'0.0.8.12'"
       ]
      },
      "execution_count": 1,
@@ -25,10 +25,10 @@
     }
    ],
    "source": [
-    "from pandarize.frame import Pandarizer\n",
+    "from bibReader.frame import bReader\n",
     "import pandas as pd\n",
-    "import pandarize\n",
-    "pandarize.__version__"
+    "import bibReader\n",
+    "bibReader.__version__"
    ]
   },
   {
@@ -45,8 +45,7 @@
     }
    ],
    "source": [
-    "pdr = Pandarizer()\n",
-    "pdr.initialize()"
+    "bib = bReader()"
    ]
   },
   {
@@ -55,8 +54,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pdr.settings['convert_names'] = False\n",
-    "pdr.settings['remove_empty_entries'] = False"
+    "bib.settings['convert_names'] = False\n",
+    "bib.settings['remove_empty_entries'] = False"
    ]
   },
   {
@@ -65,8 +64,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pdr.load('https://raw.githubusercontent.com/neurodata/neurodata.io/deploy/content/bibs/people.bib')\n",
-    "pdr.fit()"
+    "bib.load('https://raw.githubusercontent.com/neurodata/neurodata.io/deploy/content/bibs/people.bib')\n",
+    "bib.fit()"
    ]
   },
   {
@@ -186,7 +185,7 @@
        "      <td>09/20 –</td>\n",
        "      <td></td>\n",
        "      <td>Currently investigating the effect of inductiv...</td>\n",
-       "      <td>MS</td>\n",
+       "      <td>MSE</td>\n",
        "      <td>BME, JHU</td>\n",
        "      <td>staff</td>\n",
        "      <td>staffresearch</td>\n",
@@ -265,7 +264,7 @@
        "                                            abstract  userb  \\\n",
        "0                                                             \n",
        "1                                                             \n",
-       "2  Currently investigating the effect of inductiv...     MS   \n",
+       "2  Currently investigating the effect of inductiv...    MSE   \n",
        "3  Developed Sparse Projection Oblique Randomer F...    MSE   \n",
        "4  Javier studies how larval zebrafish learn how ...  Ph.D.   \n",
        "\n",
@@ -290,7 +289,7 @@
     }
    ],
    "source": [
-    "pdr.df.head()"
+    "bib.df.head()"
    ]
   },
   {
@@ -299,7 +298,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pdr.df.to_excel(filepath, index=False, engine='xlsxwriter')"
+    "bib.df.to_excel(filepath, index=False, engine='xlsxwriter')"
    ]
   },
   {
@@ -315,7 +314,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# pdr.df = pd.read_excel(ufilepath, dtype=object, na_filter=False)"
+    "bib.df = pd.read_excel(ufilepath, dtype=object, na_filter=False)"
    ]
   },
   {
@@ -425,13 +424,13 @@
        "      <td>09/20 –</td>\n",
        "      <td></td>\n",
        "      <td>Currently investigating the effect of inductiv...</td>\n",
-       "      <td>MS</td>\n",
+       "      <td>MSE</td>\n",
        "      <td>BME, JHU</td>\n",
        "      <td>staff</td>\n",
        "      <td>staffresearch</td>\n",
        "      <td>jshinm</td>\n",
        "      <td>jshin69@jhu.edu</td>\n",
-       "      <td></td>\n",
+       "      <td>modrev.org/jshinm</td>\n",
        "      <td>safe-zone</td>\n",
        "      <td>jong_shin.png</td>\n",
        "      <td>2.0</td>\n",
@@ -504,7 +503,7 @@
        "                                            abstract  userb  \\\n",
        "0                                                             \n",
        "1                                                             \n",
-       "2  Currently investigating the effect of inductiv...     MS   \n",
+       "2  Currently investigating the effect of inductiv...    MSE   \n",
        "3  Developed Sparse Projection Oblique Randomer F...    MSE   \n",
        "4  Javier studies how larval zebrafish learn how ...  Ph.D.   \n",
        "\n",
@@ -518,7 +517,7 @@
        "                        url      usere                   file priority  \n",
        "0  neurodata.io/about/jovo/  safe-zone  vogelstein_joshua.jpg      0.0  \n",
        "1                                            priebe_carey.jpg      1.0  \n",
-       "2                            safe-zone          jong_shin.png      2.0  \n",
+       "2         modrev.org/jshinm  safe-zone          jong_shin.png      2.0  \n",
        "3                                            tomita_tyler.jpg      3.0  \n",
        "4                            safe-zone         javier_how.jpg      3.0  "
       ]
@@ -529,26 +528,26 @@
     }
    ],
    "source": [
-    "pdr.df.head(5)"
+    "bib.df.head(5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "pdr.df.priority = pdr.df.priority.astype(float)\n",
-    "pdr.df.sort_values(['priority'], ascending=True, inplace=True)"
+    "bib.df.priority = bib.df.priority.astype(float)\n",
+    "bib.df.sort_values(['priority'], ascending=True, inplace=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
-    "pdr.transform(filename='people')"
+    "bib.transform(filename='people')"
    ]
   },
   {
diff --git a/examples/ndd_pubs_update.ipynb b/examples/ndd_pubs_update.ipynb
index e5d4a7f..3e204e7 100644
--- a/examples/ndd_pubs_update.ipynb
+++ b/examples/ndd_pubs_update.ipynb
@@ -16,7 +16,7 @@
     {
      "data": {
       "text/plain": [
-       "'0.0.8.7'"
+       "'0.0.8.12'"
       ]
      },
      "execution_count": 1,
@@ -25,22 +25,29 @@
     }
    ],
    "source": [
-    "from pandarize.frame import Pandarizer\n",
-    "import pandarize\n",
+    "from bibReader.frame import bReader\n",
     "import pandas as pd\n",
-    "pandarize.__version__"
+    "import bibReader\n",
+    "bibReader.__version__"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Configuration applied. Please change the setting via <class object>.settings as needed.\n"
+     ]
+    }
+   ],
    "source": [
-    "pdr = Pandarizer()\n",
-    "pdr.load('https://raw.githubusercontent.com/neurodata/neurodata.io/deploy/content/bibs/pubs.bib')\n",
-    "# pdr.load('pubs.bib') #for local file\n",
-    "pdr.fit()"
+    "bib = bReader()\n",
+    "bib.load('https://raw.githubusercontent.com/neurodata/neurodata.io/deploy/content/bibs/pubs.bib')\n",
+    "bib.fit()"
    ]
   },
   {
@@ -59,7 +66,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pdr.df.to_excel(filepath, index=False, engine='xlsxwriter')"
+    "bib.df.to_excel(filepath, index=False, engine='xlsxwriter')"
    ]
   },
   {
@@ -71,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -106,16 +113,16 @@
        "      <th>month</th>\n",
        "      <th>address</th>\n",
        "      <th>...</th>\n",
-       "      <th>adsnote</th>\n",
+       "      <th>elocation-id</th>\n",
        "      <th>urldate</th>\n",
-       "      <th>tag</th>\n",
        "      <th>howpublished</th>\n",
+       "      <th>tag</th>\n",
+       "      <th>note</th>\n",
+       "      <th>day</th>\n",
        "      <th>annotation</th>\n",
        "      <th>acmid</th>\n",
        "      <th>articleno</th>\n",
        "      <th>issue_date</th>\n",
-       "      <th>note</th>\n",
-       "      <th>day</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -126,19 +133,19 @@
       ],
       "text/plain": [
        "Empty DataFrame\n",
-       "Columns: [type, alias, title, author, author+an, year, keywords, url, month, address, journal, pages, volume, number, booktitle, doi, isbn, abstract, organization, publisher, issn, pmid, numpages, location, series, eprint, archiveprefix, arxivid, editor, chapter, annote, archivePrefix, primaryClass, primaryclass, eprinttype, copyright, URL, elocation-id, shorttitle, eid, adsurl, adsnote, urldate, tag, howpublished, annotation, acmid, articleno, issue_date, note, day]\n",
+       "Columns: [type, alias, title, author, author+an, year, keywords, url, month, address, volume, pages, number, journal, booktitle, doi, isbn, abstract, issn, eprint, archiveprefix, arxivid, chapter, publisher, pmid, annote, numpages, location, series, organization, editor, primaryclass, eprinttype, copyright, shorttitle, archivePrefix, primaryClass, eid, adsurl, adsnote, URL, elocation-id, urldate, howpublished, tag, note, day, annotation, acmid, articleno, issue_date]\n",
        "Index: []\n",
        "\n",
        "[0 rows x 51 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pdr.df[pdr.df['alias'].duplicated()]"
+    "bib.df[bib.df['alias'].duplicated()]"
    ]
   },
   {
@@ -150,16 +157,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# pdr.df = pd.read_excel(ufilepath, dtype=object, na_filter=False)"
+    "bib.df = pd.read_excel(ufilepath, dtype=object, na_filter=False)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -194,16 +201,16 @@
        "      <th>month</th>\n",
        "      <th>address</th>\n",
        "      <th>...</th>\n",
-       "      <th>adsnote</th>\n",
+       "      <th>elocation-id</th>\n",
        "      <th>urldate</th>\n",
-       "      <th>tag</th>\n",
        "      <th>howpublished</th>\n",
+       "      <th>tag</th>\n",
+       "      <th>note</th>\n",
+       "      <th>day</th>\n",
        "      <th>annotation</th>\n",
        "      <th>acmid</th>\n",
        "      <th>articleno</th>\n",
        "      <th>issue_date</th>\n",
-       "      <th>note</th>\n",
-       "      <th>day</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -220,112 +227,112 @@
        "      <td>6</td>\n",
        "      <td>OHBM, Rome Italy</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>inproceedings</td>\n",
-       "      <td>Allen2015synaptome</td>\n",
-       "      <td>The Open Synaptome Project: Toward a Microscop...</td>\n",
-       "      <td>Smith, Stephen J. and Burns, Randal and Chevil...</td>\n",
-       "      <td>8=highlight</td>\n",
-       "      <td>2015</td>\n",
+       "      <td>ThomasNeuro2020</td>\n",
+       "      <td>Automated Neuron Tracing of Sparse Fluorescent...</td>\n",
+       "      <td>Athey, Thomas L and Sulam, Jeremias and Vogels...</td>\n",
+       "      <td>3=highlight; 1=trainee</td>\n",
+       "      <td>2020</td>\n",
        "      <td>abspos</td>\n",
-       "      <td>https://figshare.com/articles/Open_Synaptome_P...</td>\n",
-       "      <td>10</td>\n",
-       "      <td>Society for Neuroscience, Chicago, IL, USA</td>\n",
+       "      <td></td>\n",
+       "      <td>11</td>\n",
+       "      <td>Neuromatch 3</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>inproceedings</td>\n",
-       "      <td>XBrain2015</td>\n",
-       "      <td>X-Brain: Quantifying Mesoscale Neuroanatomy Us...</td>\n",
-       "      <td>Deyer, Eva L. and Fernandes, Hugo L. and Ronca...</td>\n",
-       "      <td>5=highlight;3=trainee</td>\n",
-       "      <td>2015</td>\n",
+       "      <td>hayden_naisys_2020</td>\n",
+       "      <td>A Biological Implementation of Lifelong Learni...</td>\n",
+       "      <td>Vogelstein, Joshua T. and Helm, Hayden and Ped...</td>\n",
+       "      <td>2=trainee;3=trainee;4=trainee;1=highlight</td>\n",
+       "      <td>2020</td>\n",
        "      <td>abspos</td>\n",
-       "      <td>https://figshare.com/articles/X_Brain_Quantify...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Figshare</td>\n",
+       "      <td></td>\n",
+       "      <td>11</td>\n",
+       "      <td>NAIsys, Cold Spring Harbor, NY, USA</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>inproceedings</td>\n",
-       "      <td>Design2015</td>\n",
-       "      <td>Optimal Design for Discovery Science: Applicat...</td>\n",
-       "      <td>Wang, Shangsi and Yang, Zhi and Zuo, Xi-Nian a...</td>\n",
-       "      <td>1=trainee;7=highlight</td>\n",
-       "      <td>2015</td>\n",
+       "      <td>berlin_2017</td>\n",
+       "      <td>Processing and Analyzing Terascale Conjugate A...</td>\n",
+       "      <td>Baden, Alex and Perlman, Eric and Collman, For...</td>\n",
+       "      <td>1=trainee;5=highlight</td>\n",
+       "      <td>2017</td>\n",
        "      <td>abspos</td>\n",
-       "      <td>https://figshare.com/articles/Optimal_Design_f...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Figshare</td>\n",
+       "      <td>https://neurodata.io/talks/berlin_2017.pdf</td>\n",
+       "      <td></td>\n",
+       "      <td>Berlin, Germany</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>inproceedings</td>\n",
-       "      <td>Sparse2015</td>\n",
-       "      <td>A Sparse High Dimensional State-Space Model wi...</td>\n",
-       "      <td>Chen, Shaojie and Liu, Kai and Yuguang, Yang a...</td>\n",
-       "      <td>1=trainee;7=highlight</td>\n",
-       "      <td>2015</td>\n",
+       "      <td>falk_open_data2019</td>\n",
+       "      <td>NeuroData's Open Data Cloud Ecosystem</td>\n",
+       "      <td>Falk, Benjamin and Vogelstein, Joshua T.</td>\n",
+       "      <td>2=highlight</td>\n",
+       "      <td>2019</td>\n",
        "      <td>abspos</td>\n",
-       "      <td>https://figshare.com/articles/A_Sparse_High_Di...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Figshare</td>\n",
+       "      <td>https://neurodata.io/talks/25_NeuroDatas_Open_...</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Harvard University, Cambridge, MA, USA</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -335,78 +342,78 @@
       "text/plain": [
        "            type               alias  \\\n",
        "0  inproceedings              j12019   \n",
-       "1  inproceedings  Allen2015synaptome   \n",
-       "2  inproceedings          XBrain2015   \n",
-       "3  inproceedings          Design2015   \n",
-       "4  inproceedings          Sparse2015   \n",
+       "1  inproceedings     ThomasNeuro2020   \n",
+       "2  inproceedings  hayden_naisys_2020   \n",
+       "3  inproceedings         berlin_2017   \n",
+       "4  inproceedings  falk_open_data2019   \n",
        "\n",
        "                                               title  \\\n",
        "0                 Clustering Multi-Modal Connectomes   \n",
-       "1  The Open Synaptome Project: Toward a Microscop...   \n",
-       "2  X-Brain: Quantifying Mesoscale Neuroanatomy Us...   \n",
-       "3  Optimal Design for Discovery Science: Applicat...   \n",
-       "4  A Sparse High Dimensional State-Space Model wi...   \n",
+       "1  Automated Neuron Tracing of Sparse Fluorescent...   \n",
+       "2  A Biological Implementation of Lifelong Learni...   \n",
+       "3  Processing and Analyzing Terascale Conjugate A...   \n",
+       "4              NeuroData's Open Data Cloud Ecosystem   \n",
        "\n",
        "                                              author  \\\n",
        "0  Chung, Jaewon and Pedigo, Benjamin D. and Prie...   \n",
-       "1  Smith, Stephen J. and Burns, Randal and Chevil...   \n",
-       "2  Deyer, Eva L. and Fernandes, Hugo L. and Ronca...   \n",
-       "3  Wang, Shangsi and Yang, Zhi and Zuo, Xi-Nian a...   \n",
-       "4  Chen, Shaojie and Liu, Kai and Yuguang, Yang a...   \n",
+       "1  Athey, Thomas L and Sulam, Jeremias and Vogels...   \n",
+       "2  Vogelstein, Joshua T. and Helm, Hayden and Ped...   \n",
+       "3  Baden, Alex and Perlman, Eric and Collman, For...   \n",
+       "4           Falk, Benjamin and Vogelstein, Joshua T.   \n",
        "\n",
-       "                         author+an  year keywords  \\\n",
-       "0  1=trainee;2=trainee;4=highlight  2019   abspos   \n",
-       "1                      8=highlight  2015   abspos   \n",
-       "2            5=highlight;3=trainee  2015   abspos   \n",
-       "3            1=trainee;7=highlight  2015   abspos   \n",
-       "4            1=trainee;7=highlight  2015   abspos   \n",
+       "                                   author+an  year keywords  \\\n",
+       "0            1=trainee;2=trainee;4=highlight  2019   abspos   \n",
+       "1                     3=highlight; 1=trainee  2020   abspos   \n",
+       "2  2=trainee;3=trainee;4=trainee;1=highlight  2020   abspos   \n",
+       "3                      1=trainee;5=highlight  2017   abspos   \n",
+       "4                                2=highlight  2019   abspos   \n",
        "\n",
        "                                                 url month  \\\n",
        "0  https://figshare.com/articles/Clustering_Multi...     6   \n",
-       "1  https://figshare.com/articles/Open_Synaptome_P...    10   \n",
-       "2  https://figshare.com/articles/X_Brain_Quantify...   NaN   \n",
-       "3  https://figshare.com/articles/Optimal_Design_f...   NaN   \n",
-       "4  https://figshare.com/articles/A_Sparse_High_Di...   NaN   \n",
+       "1                                                       11   \n",
+       "2                                                       11   \n",
+       "3         https://neurodata.io/talks/berlin_2017.pdf         \n",
+       "4  https://neurodata.io/talks/25_NeuroDatas_Open_...     7   \n",
        "\n",
-       "                                      address  ... adsnote urldate  tag  \\\n",
-       "0                            OHBM, Rome Italy  ...     NaN     NaN  NaN   \n",
-       "1  Society for Neuroscience, Chicago, IL, USA  ...     NaN     NaN  NaN   \n",
-       "2                                    Figshare  ...     NaN     NaN  NaN   \n",
-       "3                                    Figshare  ...     NaN     NaN  NaN   \n",
-       "4                                    Figshare  ...     NaN     NaN  NaN   \n",
+       "                                  address  ... elocation-id urldate  \\\n",
+       "0                        OHBM, Rome Italy  ...                        \n",
+       "1                            Neuromatch 3  ...                        \n",
+       "2     NAIsys, Cold Spring Harbor, NY, USA  ...                        \n",
+       "3                         Berlin, Germany  ...                        \n",
+       "4  Harvard University, Cambridge, MA, USA  ...                        \n",
        "\n",
-       "  howpublished annotation acmid articleno issue_date note  day  \n",
-       "0          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
-       "1          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
-       "2          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
-       "3          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
-       "4          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
+       "  howpublished tag note day annotation acmid articleno issue_date  \n",
+       "0                                                                  \n",
+       "1                                                                  \n",
+       "2                                                                  \n",
+       "3                                                                  \n",
+       "4                                                                  \n",
        "\n",
        "[5 rows x 51 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pdr.df.head(5)"
+    "bib.df.head(5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
     "# pdr.df.priority = pdr.df.priority.astype(float)\n",
-    "pdr.df.sort_values(['keywords'], ascending=True, inplace=True)"
+    "bib.df.sort_values(['keywords'], ascending=True, inplace=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -441,16 +448,16 @@
        "      <th>month</th>\n",
        "      <th>address</th>\n",
        "      <th>...</th>\n",
-       "      <th>adsnote</th>\n",
+       "      <th>elocation-id</th>\n",
        "      <th>urldate</th>\n",
-       "      <th>tag</th>\n",
        "      <th>howpublished</th>\n",
+       "      <th>tag</th>\n",
+       "      <th>note</th>\n",
+       "      <th>day</th>\n",
        "      <th>annotation</th>\n",
        "      <th>acmid</th>\n",
        "      <th>articleno</th>\n",
        "      <th>issue_date</th>\n",
-       "      <th>note</th>\n",
-       "      <th>day</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -467,112 +474,112 @@
        "      <td>6</td>\n",
        "      <td>OHBM, Rome Italy</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>inproceedings</td>\n",
-       "      <td>ThomasNeuro2020</td>\n",
-       "      <td>Automated Neuron Tracing of Sparse Fluorescent...</td>\n",
-       "      <td>Athey, Thomas L and Sulam, Jeremias and Vogels...</td>\n",
-       "      <td>3=highlight; 1=trainee</td>\n",
-       "      <td>2020</td>\n",
+       "      <td>Airan2013</td>\n",
+       "      <td>Reproducible differentiation of individual of ...</td>\n",
+       "      <td>D, Raag and Vogelstein, Airan A. and Caffo, Jo...</td>\n",
+       "      <td>2=highlight</td>\n",
+       "      <td>2013</td>\n",
        "      <td>abspos</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>11</td>\n",
-       "      <td>Neuromatch 3</td>\n",
+       "      <td>http://dx.doi.org/10.6084/m9.figshare.1284146</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Proc ISMRM, Salt Lake City, UT, USA</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>inproceedings</td>\n",
-       "      <td>hayden_naisys_2020</td>\n",
-       "      <td>A Biological Implementation of Lifelong Learni...</td>\n",
-       "      <td>Vogelstein, Joshua T. and Helm, Hayden and Ped...</td>\n",
-       "      <td>2=trainee;3=trainee;4=trainee;1=highlight</td>\n",
-       "      <td>2020</td>\n",
+       "      <td>Allen2015synaptome</td>\n",
+       "      <td>The Open Synaptome Project: Toward a Microscop...</td>\n",
+       "      <td>Smith, Stephen J. and Burns, Randal and Chevil...</td>\n",
+       "      <td>8=highlight</td>\n",
+       "      <td>2015</td>\n",
        "      <td>abspos</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>11</td>\n",
-       "      <td>NAIsys, Cold Spring Harbor, NY, USA</td>\n",
+       "      <td>https://figshare.com/articles/Open_Synaptome_P...</td>\n",
+       "      <td>10</td>\n",
+       "      <td>Society for Neuroscience, Chicago, IL, USA</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>inproceedings</td>\n",
-       "      <td>berlin_2017</td>\n",
-       "      <td>Processing and Analyzing Terascale Conjugate A...</td>\n",
-       "      <td>Baden, Alex and Perlman, Eric and Collman, For...</td>\n",
-       "      <td>1=trainee;5=highlight</td>\n",
-       "      <td>2017</td>\n",
+       "      <td>XBrain2015</td>\n",
+       "      <td>X-Brain: Quantifying Mesoscale Neuroanatomy Us...</td>\n",
+       "      <td>Deyer, Eva L. and Fernandes, Hugo L. and Ronca...</td>\n",
+       "      <td>5=highlight;3=trainee</td>\n",
+       "      <td>2015</td>\n",
        "      <td>abspos</td>\n",
-       "      <td>https://neurodata.io/talks/berlin_2017.pdf</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Berlin, Germany</td>\n",
+       "      <td>https://figshare.com/articles/X_Brain_Quantify...</td>\n",
+       "      <td></td>\n",
+       "      <td>Figshare</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>inproceedings</td>\n",
-       "      <td>falk_open_data2019</td>\n",
-       "      <td>NeuroData's Open Data Cloud Ecosystem</td>\n",
-       "      <td>Falk, Benjamin and Vogelstein, Joshua T.</td>\n",
-       "      <td>2=highlight</td>\n",
-       "      <td>2019</td>\n",
+       "      <td>Design2015</td>\n",
+       "      <td>Optimal Design for Discovery Science: Applicat...</td>\n",
+       "      <td>Wang, Shangsi and Yang, Zhi and Zuo, Xi-Nian a...</td>\n",
+       "      <td>1=trainee;7=highlight</td>\n",
+       "      <td>2015</td>\n",
        "      <td>abspos</td>\n",
-       "      <td>https://neurodata.io/talks/25_NeuroDatas_Open_...</td>\n",
-       "      <td>7</td>\n",
-       "      <td>Harvard University, Cambridge, MA, USA</td>\n",
+       "      <td>https://figshare.com/articles/Optimal_Design_f...</td>\n",
+       "      <td></td>\n",
+       "      <td>Figshare</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -582,72 +589,72 @@
       "text/plain": [
        "            type               alias  \\\n",
        "0  inproceedings              j12019   \n",
-       "1  inproceedings     ThomasNeuro2020   \n",
-       "2  inproceedings  hayden_naisys_2020   \n",
-       "3  inproceedings         berlin_2017   \n",
-       "4  inproceedings  falk_open_data2019   \n",
+       "1  inproceedings           Airan2013   \n",
+       "2  inproceedings  Allen2015synaptome   \n",
+       "3  inproceedings          XBrain2015   \n",
+       "4  inproceedings          Design2015   \n",
        "\n",
        "                                               title  \\\n",
        "0                 Clustering Multi-Modal Connectomes   \n",
-       "1  Automated Neuron Tracing of Sparse Fluorescent...   \n",
-       "2  A Biological Implementation of Lifelong Learni...   \n",
-       "3  Processing and Analyzing Terascale Conjugate A...   \n",
-       "4              NeuroData's Open Data Cloud Ecosystem   \n",
+       "1  Reproducible differentiation of individual of ...   \n",
+       "2  The Open Synaptome Project: Toward a Microscop...   \n",
+       "3  X-Brain: Quantifying Mesoscale Neuroanatomy Us...   \n",
+       "4  Optimal Design for Discovery Science: Applicat...   \n",
        "\n",
        "                                              author  \\\n",
        "0  Chung, Jaewon and Pedigo, Benjamin D. and Prie...   \n",
-       "1  Athey, Thomas L and Sulam, Jeremias and Vogels...   \n",
-       "2  Vogelstein, Joshua T. and Helm, Hayden and Ped...   \n",
-       "3  Baden, Alex and Perlman, Eric and Collman, For...   \n",
-       "4           Falk, Benjamin and Vogelstein, Joshua T.   \n",
+       "1  D, Raag and Vogelstein, Airan A. and Caffo, Jo...   \n",
+       "2  Smith, Stephen J. and Burns, Randal and Chevil...   \n",
+       "3  Deyer, Eva L. and Fernandes, Hugo L. and Ronca...   \n",
+       "4  Wang, Shangsi and Yang, Zhi and Zuo, Xi-Nian a...   \n",
        "\n",
-       "                                   author+an  year keywords  \\\n",
-       "0            1=trainee;2=trainee;4=highlight  2019   abspos   \n",
-       "1                     3=highlight; 1=trainee  2020   abspos   \n",
-       "2  2=trainee;3=trainee;4=trainee;1=highlight  2020   abspos   \n",
-       "3                      1=trainee;5=highlight  2017   abspos   \n",
-       "4                                2=highlight  2019   abspos   \n",
+       "                         author+an  year keywords  \\\n",
+       "0  1=trainee;2=trainee;4=highlight  2019   abspos   \n",
+       "1                      2=highlight  2013   abspos   \n",
+       "2                      8=highlight  2015   abspos   \n",
+       "3            5=highlight;3=trainee  2015   abspos   \n",
+       "4            1=trainee;7=highlight  2015   abspos   \n",
        "\n",
        "                                                 url month  \\\n",
        "0  https://figshare.com/articles/Clustering_Multi...     6   \n",
-       "1                                                NaN    11   \n",
-       "2                                                NaN    11   \n",
-       "3         https://neurodata.io/talks/berlin_2017.pdf   NaN   \n",
-       "4  https://neurodata.io/talks/25_NeuroDatas_Open_...     7   \n",
+       "1      http://dx.doi.org/10.6084/m9.figshare.1284146     4   \n",
+       "2  https://figshare.com/articles/Open_Synaptome_P...    10   \n",
+       "3  https://figshare.com/articles/X_Brain_Quantify...         \n",
+       "4  https://figshare.com/articles/Optimal_Design_f...         \n",
        "\n",
-       "                                  address  ... adsnote urldate  tag  \\\n",
-       "0                        OHBM, Rome Italy  ...     NaN     NaN  NaN   \n",
-       "1                            Neuromatch 3  ...     NaN     NaN  NaN   \n",
-       "2     NAIsys, Cold Spring Harbor, NY, USA  ...     NaN     NaN  NaN   \n",
-       "3                         Berlin, Germany  ...     NaN     NaN  NaN   \n",
-       "4  Harvard University, Cambridge, MA, USA  ...     NaN     NaN  NaN   \n",
+       "                                      address  ... elocation-id urldate  \\\n",
+       "0                            OHBM, Rome Italy  ...                        \n",
+       "1         Proc ISMRM, Salt Lake City, UT, USA  ...                        \n",
+       "2  Society for Neuroscience, Chicago, IL, USA  ...                        \n",
+       "3                                    Figshare  ...                        \n",
+       "4                                    Figshare  ...                        \n",
        "\n",
-       "  howpublished annotation acmid articleno issue_date note  day  \n",
-       "0          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
-       "1          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
-       "2          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
-       "3          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
-       "4          NaN        NaN   NaN       NaN        NaN  NaN  NaN  \n",
+       "  howpublished tag note day annotation acmid articleno issue_date  \n",
+       "0                                                                  \n",
+       "1                                                                  \n",
+       "2                                                                  \n",
+       "3                                                                  \n",
+       "4                                                                  \n",
        "\n",
        "[5 rows x 51 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pdr.df.reset_index(drop=True).head(5)"
+    "bib.df.reset_index(drop=True).head(5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "pdr.transform(filename='pubs')"
+    "bib.transform(filename='pubs')"
    ]
   },
   {
diff --git a/setup.py b/setup.py
index 81e7c77..f580921 100644
--- a/setup.py
+++ b/setup.py
@@ -1,20 +1,20 @@
 from distutils.core import setup
 from setuptools import find_packages
-import pandarize
+import bibReader
 
-VERSION = pandarize.__version__
+VERSION = bibReader.__version__
 with open('README.md', 'r') as f:
     README = f.read()
 
 setup(
-    name='Pandarize',
+    name='bibReader',
     version=VERSION,
     author='Jong M. Shin',
     author_email='jshinm@gmail.com',
     packages=find_packages(),
-    package_data = {"": ['pandarize/config/config.yaml']},
+    package_data = {"": ['bibReader/config/config.yaml']},
     include_package_data=True,
-    url='https://github.com/jshinm/pandarize/',
+    url='https://github.com/jshinm/bibReader/',
     license='MIT',
     description='Turns data into panda dataframe',
     readme='README.md',